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Kolla L, Parikh RB. Uses and limitations of artificial intelligence for oncology. Cancer 2024; 130:2101-2107. [PMID: 38554271 PMCID: PMC11170282 DOI: 10.1002/cncr.35307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 02/19/2024] [Accepted: 03/15/2024] [Indexed: 04/01/2024]
Abstract
Modern artificial intelligence (AI) tools built on high-dimensional patient data are reshaping oncology care, helping to improve goal-concordant care, decrease cancer mortality rates, and increase workflow efficiency and scope of care. However, data-related concerns and human biases that seep into algorithms during development and post-deployment phases affect performance in real-world settings, limiting the utility and safety of AI technology in oncology clinics. To this end, the authors review the current potential and limitations of predictive AI for cancer diagnosis and prognostication as well as of generative AI, specifically modern chatbots, which interfaces with patients and clinicians. They conclude the review with a discussion on ongoing challenges and regulatory opportunities in the field.
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Affiliation(s)
- Likhitha Kolla
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ravi B. Parikh
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
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2
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Vanni I, Pastorino L, Andreotti V, Comandini D, Fornarini G, Grassi M, Puccini A, Tanda ET, Pastorino A, Martelli V, Mastracci L, Grillo F, Cabiddu F, Guadagno A, Coco S, Allavena E, Barbero F, Bruno W, Dalmasso B, Bellomo SE, Marchiò C, Spagnolo F, Sciallero S, Berrino E, Ghiorzo P. Combining germline, tissue and liquid biopsy analysis by comprehensive genomic profiling to improve the yield of actionable variants in a real-world cancer cohort. J Transl Med 2024; 22:462. [PMID: 38750555 PMCID: PMC11097509 DOI: 10.1186/s12967-024-05227-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 04/22/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Comprehensive next-generation sequencing is widely used for precision oncology and precision prevention approaches. We aimed to determine the yield of actionable gene variants, the capacity to uncover hereditary predisposition and liquid biopsy appropriateness instead of, or in addition to, tumor tissue analysis, in a real-world cohort of cancer patients, who may benefit the most from comprehensive genomic profiling. METHODS Seventy-eight matched germline/tumor tissue/liquid biopsy DNA and RNA samples were profiled using the Hereditary Cancer Panel (germline) and the TruSight Oncology 500 panel (tumor tissue/cfDNA) from 23 patients consecutively enrolled at our center according to at least one of the following criteria: no available therapeutic options; long responding patients potentially fit for other therapies; rare tumor; suspected hereditary cancer; primary cancer with high metastatic potential; tumor of unknown primary origin. Variants were annotated for OncoKB and AMP/ASCO/CAP classification. RESULTS The overall yield of actionable somatic and germline variants was 57% (13/23 patients), and 43.5%, excluding variants previously identified by somatic or germline routine testing. The accuracy of tumor/cfDNA germline-focused analysis was demonstrated by overlapping results of germline testing. Five germline variants in BRCA1, VHL, CHEK1, ATM genes would have been missed without extended genomic profiling. A previously undetected BRAF p.V600E mutation was emblematic of the clinical utility of this approach in a patient with a liver undifferentiated embryonal sarcoma responsive to BRAF/MEK inhibition. CONCLUSIONS Our study confirms the clinical relevance of performing extended parallel tumor DNA and cfDNA testing to broaden therapeutic options, to longitudinally monitor cfDNA during patient treatment, and to uncover possible hereditary predisposition following tumor sequencing in patient care.
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Affiliation(s)
- I Vanni
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - L Pastorino
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, 16132, Genoa, Italy
| | - V Andreotti
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - D Comandini
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - G Fornarini
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - M Grassi
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - A Puccini
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - E T Tanda
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, 16132, Genoa, Italy
- Medical Oncology Unit 2, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - A Pastorino
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - V Martelli
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, 16132, Genoa, Italy
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - L Mastracci
- Pathology Unit, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, 16132, Genoa, Italy
- Pathology Unit, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - F Grillo
- Pathology Unit, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, 16132, Genoa, Italy
- Pathology Unit, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - F Cabiddu
- Pathology Unit, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - A Guadagno
- Pathology Unit, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - S Coco
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - E Allavena
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, 16132, Genoa, Italy
| | - F Barbero
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - W Bruno
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, 16132, Genoa, Italy
| | - B Dalmasso
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - S E Bellomo
- Pathology Unit, Candiolo Cancer Institute, FPO - IRCCS, 10060, Candiolo, Turin, Italy
| | - C Marchiò
- Pathology Unit, Candiolo Cancer Institute, FPO - IRCCS, 10060, Candiolo, Turin, Italy
- Department of Medical Sciences, University of Torino, 10060, Turin, Italy
| | - F Spagnolo
- Medical Oncology Unit 2, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
- Plastic Surgery, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, 16132, Genoa, Italy
| | - S Sciallero
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - E Berrino
- Pathology Unit, Candiolo Cancer Institute, FPO - IRCCS, 10060, Candiolo, Turin, Italy
- Department of Medical Sciences, University of Torino, 10060, Turin, Italy
| | - P Ghiorzo
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy.
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, 16132, Genoa, Italy.
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Demetriou D, Lockhat Z, Brzozowski L, Saini KS, Dlamini Z, Hull R. The Convergence of Radiology and Genomics: Advancing Breast Cancer Diagnosis with Radiogenomics. Cancers (Basel) 2024; 16:1076. [PMID: 38473432 DOI: 10.3390/cancers16051076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 02/09/2024] [Accepted: 02/22/2024] [Indexed: 03/14/2024] Open
Abstract
Despite significant progress in the prevention, screening, diagnosis, prognosis, and therapy of breast cancer (BC), it remains a highly prevalent and life-threatening disease affecting millions worldwide. Molecular subtyping of BC is crucial for predictive and prognostic purposes due to the diverse clinical behaviors observed across various types. The molecular heterogeneity of BC poses uncertainties in its impact on diagnosis, prognosis, and treatment. Numerous studies have highlighted genetic and environmental differences between patients from different geographic regions, emphasizing the need for localized research. International studies have revealed that patients with African heritage are often diagnosed at a more advanced stage and exhibit poorer responses to treatment and lower survival rates. Despite these global findings, there is a dearth of in-depth studies focusing on communities in the African region. Early diagnosis and timely treatment are paramount to improving survival rates. In this context, radiogenomics emerges as a promising field within precision medicine. By associating genetic patterns with image attributes or features, radiogenomics has the potential to significantly improve early detection, prognosis, and diagnosis. It can provide valuable insights into potential treatment options and predict the likelihood of survival, progression, and relapse. Radiogenomics allows for visual features and genetic marker linkage that promises to eliminate the need for biopsy and sequencing. The application of radiogenomics not only contributes to advancing precision oncology and individualized patient treatment but also streamlines clinical workflows. This review aims to delve into the theoretical underpinnings of radiogenomics and explore its practical applications in the diagnosis, management, and treatment of BC and to put radiogenomics on a path towards fully integrated diagnostics.
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Affiliation(s)
- Demetra Demetriou
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield, Pretoria 0028, South Africa
| | - Zarina Lockhat
- Department of Radiology, Faculty of Health Sciences, Steve Biko Academic Hospital, University of Pretoria, Hatfield, Pretoria 0028, South Africa
| | - Luke Brzozowski
- Translational Research and Core Facilities, University Health Network, Toronto, ON M5G 1L7, Canada
| | - Kamal S Saini
- Fortrea Inc., 8 Moore Drive, Durham, NC 27709, USA
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK
| | - Zodwa Dlamini
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield, Pretoria 0028, South Africa
| | - Rodney Hull
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield, Pretoria 0028, South Africa
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4
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Dlamini Z, Molefi T, Khanyile R, Mkhabele M, Damane B, Kokoua A, Bida M, Saini KS, Chauke-Malinga N, Luvhengo TE, Hull R. From Incidence to Intervention: A Comprehensive Look at Breast Cancer in South Africa. Oncol Ther 2024; 12:1-11. [PMID: 37910378 PMCID: PMC10881925 DOI: 10.1007/s40487-023-00248-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 09/27/2023] [Indexed: 11/03/2023] Open
Abstract
The formidable impact of breast cancer extends globally, with South Africa facing pronounced challenges, including significant disparities in breast cancer screening, treatment and survival along ethnic and socioeconomic lines. Over the last two decades, breast cancer incidence has increased and now accounts for a substantial portion of cancers in women. Ethnic disparities in terms of screening, incidence and survival exacerbate the issue, leading to delayed diagnosis among Black patients and highlighting healthcare inequities. These concerning trends underscore the urgency of enhancing breast cancer screening while mitigating treatment delays, although obstacles within the healthcare system impede progress. The intersection of breast cancer and human immunodeficiency virus (HIV) further complicates matters and particularly affects the Black population. Tackling the aforementioned disparities in breast cancer in South Africa mandates a multifaceted strategy. Robust screening efforts, particularly those targeting marginalised communities, are crucial for early detection. Concurrently, expedited treatment initiation is imperative. Addressing HIV-related complexities requires tailored interventions to ensure effective care. These multifaceted disparities require pan African research and cooperation as well as tailored interventions to enhance breast cancer care within the African region.
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Affiliation(s)
- Zodwa Dlamini
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, Pretoria, 0001, South Africa.
| | - Thulo Molefi
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, Pretoria, 0001, South Africa
- Department of Medical Oncology, Faculty of Health Sciences, Steve Biko Academic Hospital, University of Pretoria, Pretoria, 0001, South Africa
| | - Richard Khanyile
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, Pretoria, 0001, South Africa
- Department of Medical Oncology, Faculty of Health Sciences, Steve Biko Academic Hospital, University of Pretoria, Pretoria, 0001, South Africa
| | - Mahlori Mkhabele
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, Pretoria, 0001, South Africa
| | - Botle Damane
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, Pretoria, 0001, South Africa
- Department of Surgery, Steve Biko Academic Hospital, University of Pretoria, Pretoria, 0001, South Africa
| | - Alexandre Kokoua
- Laboratory of Anatomy, Experimental Surgery and Biomechanics (LANCEB), University of Félix Houphouët-Boigny, 01 BP V 166 Abidjan 01, Abidjan, Ivory Coast
| | - Meshack Bida
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, Pretoria, 0001, South Africa
- Department of Anatomical Pathology, National Health Laboratory Service (NHLS), University of Pretoria, Hatfield, 0028, South Africa
| | - Kamal S Saini
- Fortrea Inc, Durham, NC, USA
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Nkhensani Chauke-Malinga
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, Pretoria, 0001, South Africa
- Department of Plastic, Reconstructive and Aesthetic Surgery, Steve Biko Academic Hospital University of Pretoria, Hatfield, 0028, South Africa
| | - Thifhelimbilu Emmanuel Luvhengo
- Department of Surgery, Charlotte Maxeke Johannesburg Academic Hospital, University of the Witwatersrand, Parktown, Johannesburg, 2193, South Africa
| | - Rodney Hull
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, Pretoria, 0001, South Africa
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Chaddad A, Tan G, Liang X, Hassan L, Rathore S, Desrosiers C, Katib Y, Niazi T. Advancements in MRI-Based Radiomics and Artificial Intelligence for Prostate Cancer: A Comprehensive Review and Future Prospects. Cancers (Basel) 2023; 15:3839. [PMID: 37568655 PMCID: PMC10416937 DOI: 10.3390/cancers15153839] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023] Open
Abstract
The use of multiparametric magnetic resonance imaging (mpMRI) has become a common technique used in guiding biopsy and developing treatment plans for prostate lesions. While this technique is effective, non-invasive methods such as radiomics have gained popularity for extracting imaging features to develop predictive models for clinical tasks. The aim is to minimize invasive processes for improved management of prostate cancer (PCa). This study reviews recent research progress in MRI-based radiomics for PCa, including the radiomics pipeline and potential factors affecting personalized diagnosis. The integration of artificial intelligence (AI) with medical imaging is also discussed, in line with the development trend of radiogenomics and multi-omics. The survey highlights the need for more data from multiple institutions to avoid bias and generalize the predictive model. The AI-based radiomics model is considered a promising clinical tool with good prospects for application.
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Affiliation(s)
- Ahmad Chaddad
- School of Artificial Intelligence, Guilin Universiy of Electronic Technology, Guilin 541004, China
- The Laboratory for Imagery, Vision and Artificial Intelligence, École de Technologie Supérieure (ETS), Montreal, QC H3C 1K3, Canada
| | - Guina Tan
- School of Artificial Intelligence, Guilin Universiy of Electronic Technology, Guilin 541004, China
| | - Xiaojuan Liang
- School of Artificial Intelligence, Guilin Universiy of Electronic Technology, Guilin 541004, China
| | - Lama Hassan
- School of Artificial Intelligence, Guilin Universiy of Electronic Technology, Guilin 541004, China
| | | | - Christian Desrosiers
- The Laboratory for Imagery, Vision and Artificial Intelligence, École de Technologie Supérieure (ETS), Montreal, QC H3C 1K3, Canada
| | - Yousef Katib
- Department of Radiology, Taibah University, Al Madinah 42361, Saudi Arabia
| | - Tamim Niazi
- Lady Davis Institute for Medical Research, McGill University, Montreal, QC H3T 1E2, Canada
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Casà C, Dinapoli L, Marconi E, Chiesa S, Cornacchione P, Beghella Bartoli F, Bracci S, Salvati A, Scalise S, Colloca GF, Chieffo DPR, Gambacorta MA, Valentini V, Tagliaferri L. Integration of art and technology in personalized radiation oncology care: Experiences, evidence, and perspectives. Front Public Health 2023; 11:1056307. [PMID: 36755901 PMCID: PMC9901799 DOI: 10.3389/fpubh.2023.1056307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 01/03/2023] [Indexed: 01/24/2023] Open
Abstract
Cancer diagnoses expose patients to traumatic stress, sudden changes in daily life, changes in the body and autonomy, with even long-term consequences, and in some cases, to come to terms with the end-of-life. Furthermore, rising survival rates underline that the need for interventions for emotional wellbeing is in growing demand by patients and survivors. Cancer patients frequently have compliance problems, difficulties during treatment, stress, or challenges in implementing healthy behaviors. This scenario was highlighted during the COVID-19 emergency. These issues often do not reach the clinical attention of dedicated professionals and could also become a source of stress or burnout for professionals. So, these consequences are evident on individual, interpersonal, and health system levels. Oncology services have increasingly sought to provide value-based health care, considering resources invested, with implications for service delivery and related financing mechanisms. Value-based health care can improve patient outcomes, often revealed by patient outcome measures while seeking balance with economical budgets. The paper aims to show the Gemelli Advanced Radiation Therapy (ART) experience of personalizing the patients' care pathway through interventions based on technologies and art, the personalized approach to cancer patients and their role as "co-stars" in treatment care. The paper describes the vision, experiences, and evidence that have guided clinical choices involving patients and professionals in a co-constructed therapeutic pathway. We will explore this approach by describing: the various initiatives already implemented and prospects, with particular attention to the economic sustainability of the paths proposed to patients; the several pathways of personalized care, both from the patient's and healthcare professional perspective, that put the person's experience at the Gemelli ART Center. The patient's satisfaction with the treatment and economic outcomes have been considered. The experiences and future perspectives described in the manuscript will focus on the value of people's experiences and patient satisfaction indicators, patients, staff, and the healthcare organization.
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Affiliation(s)
- Calogero Casà
- UOC di Radioterapia Oncologica, Fatebenefratelli Isola Tiberina, Gemelli Isola, Rome, Italy
| | - Loredana Dinapoli
- UOC di Radioterapia Oncologica, Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy,UOS di Psicologia Clinica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Elisa Marconi
- UOC di Radioterapia Oncologica, Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy,UOS di Psicologia Clinica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy,*Correspondence: Elisa Marconi ✉
| | - Silvia Chiesa
- UOC di Radioterapia Oncologica, Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy,Dipartimento di Scienze Radiologiche ed Ematologiche Università Cattolica del Sacro Cuore, Rome, Italy
| | - Patrizia Cornacchione
- UOC di Radioterapia Oncologica, Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy,Dipartimento di Scienze Radiologiche ed Ematologiche Università Cattolica del Sacro Cuore, Rome, Italy
| | - Francesco Beghella Bartoli
- UOC di Radioterapia Oncologica, Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Serena Bracci
- UOC di Radioterapia Oncologica, Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Alessandra Salvati
- Dipartimento di Scienze Radiologiche ed Ematologiche Università Cattolica del Sacro Cuore, Rome, Italy
| | - Sara Scalise
- UOC di Radioterapia Oncologica, Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Giuseppe Ferdinando Colloca
- UOC di Radioterapia Oncologica, Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy,Dipartimento di Scienze Radiologiche ed Ematologiche Università Cattolica del Sacro Cuore, Rome, Italy
| | - Daniela Pia Rosaria Chieffo
- UOS di Psicologia Clinica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy,Scienze della Salute della Donna, del Bambino e di Sanità Pubblica Università Cattolica del Sacro Cuore, Rome, Italy
| | - Maria Antonietta Gambacorta
- UOC di Radioterapia Oncologica, Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy,Dipartimento di Scienze Radiologiche ed Ematologiche Università Cattolica del Sacro Cuore, Rome, Italy
| | - Vincenzo Valentini
- UOC di Radioterapia Oncologica, Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy,Dipartimento di Scienze Radiologiche ed Ematologiche Università Cattolica del Sacro Cuore, Rome, Italy
| | - Luca Tagliaferri
- UOC di Radioterapia Oncologica, Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy,Dipartimento di Scienze Radiologiche ed Ematologiche Università Cattolica del Sacro Cuore, Rome, Italy
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Sussman L, Garcia-Robledo JE, Ordóñez-Reyes C, Forero Y, Mosquera AF, Ruíz-Patiño A, Chamorro DF, Cardona AF. Integration of artificial intelligence and precision oncology in Latin America. FRONTIERS IN MEDICAL TECHNOLOGY 2022; 4:1007822. [PMID: 36311461 PMCID: PMC9608820 DOI: 10.3389/fmedt.2022.1007822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 09/21/2022] [Indexed: 11/07/2022] Open
Abstract
Next-generation medicine encompasses different concepts related to healthcare models and technological developments. In Latin America and the Caribbean, healthcare systems are quite different between countries, and cancer control is known to be insufficient and inefficient considering socioeconomically discrepancies. Despite advancements in knowledge about the biology of different oncological diseases, the disease remains a challenge in terms of diagnosis, treatment, and prognosis for clinicians and researchers. With the development of molecular biology, better diagnosis methods, and therapeutic tools in the last years, artificial intelligence (AI) has become important, because it could improve different clinical scenarios: predicting clinically relevant parameters, cancer diagnosis, cancer research, and accelerating the growth of personalized medicine. The incorporation of AI represents an important challenge in terms of diagnosis, treatment, and prognosis for clinicians and researchers in cancer care. Therefore, some studies about AI in Latin America and the Caribbean are being conducted with the aim to improve the performance of AI in those countries. This review introduces AI in cancer care in Latin America and the Caribbean, and the advantages and promising results that it has shown in this socio-demographic context.
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Affiliation(s)
- Liliana Sussman
- Department of Neurology, Fundación Universitaria de Ciencias de la Salud, Bogotá, Colombia,Foundation for Clinical and Applied Cancer Research – FICMAC, Bogotá, Colombia
| | - Juan Esteban Garcia-Robledo
- Foundation for Clinical and Applied Cancer Research – FICMAC, Bogotá, Colombia,Division of Hematology/Oncology, Mayo Clinic, Scottsdale, AZ, United States
| | - Camila Ordóñez-Reyes
- Foundation for Clinical and Applied Cancer Research – FICMAC, Bogotá, Colombia,MolecularOncology and Biology Systems Research Group (Fox-G), Universidad el Bosque, Bogotá, Colombia
| | - Yency Forero
- Foundation for Clinical and Applied Cancer Research – FICMAC, Bogotá, Colombia,MolecularOncology and Biology Systems Research Group (Fox-G), Universidad el Bosque, Bogotá, Colombia
| | - Andrés F. Mosquera
- Foundation for Clinical and Applied Cancer Research – FICMAC, Bogotá, Colombia,MolecularOncology and Biology Systems Research Group (Fox-G), Universidad el Bosque, Bogotá, Colombia
| | - Alejandro Ruíz-Patiño
- Foundation for Clinical and Applied Cancer Research – FICMAC, Bogotá, Colombia,MolecularOncology and Biology Systems Research Group (Fox-G), Universidad el Bosque, Bogotá, Colombia
| | - Diego F. Chamorro
- Foundation for Clinical and Applied Cancer Research – FICMAC, Bogotá, Colombia,MolecularOncology and Biology Systems Research Group (Fox-G), Universidad el Bosque, Bogotá, Colombia
| | - Andrés F. Cardona
- Foundation for Clinical and Applied Cancer Research – FICMAC, Bogotá, Colombia,MolecularOncology and Biology Systems Research Group (Fox-G), Universidad el Bosque, Bogotá, Colombia,Direction of Research, Science and Education, Luis Carlos Sarmiento Angulo Cancer Treatment and Research Center (CTIC), Bogotá, Colombia,Correspondence: Andrés F. Cardona
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Kamei T. Telenursing and Artificial Intelligence for Oncology Nursing. Asia Pac J Oncol Nurs 2022; 9:100119. [PMID: 36276880 PMCID: PMC9579798 DOI: 10.1016/j.apjon.2022.100119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 07/06/2022] [Indexed: 11/27/2022] Open
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