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Kumar R, Sporn K, Ong J, Waisberg E, Paladugu P, Vaja S, Hage T, Sekhar TC, Vadhera AS, Ngo A, Zaman N, Tavakkoli A, Masalkhi M. Integrating Artificial Intelligence in Orthopedic Care: Advancements in Bone Care and Future Directions. Bioengineering (Basel) 2025; 12:513. [PMID: 40428132 PMCID: PMC12109427 DOI: 10.3390/bioengineering12050513] [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: 04/04/2025] [Revised: 05/01/2025] [Accepted: 05/12/2025] [Indexed: 05/29/2025] Open
Abstract
Artificial intelligence (AI) is revolutionizing the field of orthopedic bioengineering by increasing diagnostic accuracy and surgical precision and improving patient outcomes. This review highlights using AI for orthopedics in preoperative planning, intraoperative robotics, smart implants, and bone regeneration. AI-powered imaging, automated 3D anatomical modeling, and robotic-assisted surgery have dramatically changed orthopedic practices. AI has improved surgical planning by enhancing complex image interpretation and providing augmented reality guidance to create highly accurate surgical strategies. Intraoperatively, robotic-assisted surgeries enhance accuracy and reduce human error while minimizing invasiveness. AI-powered smart implant sensors allow for in vivo monitoring, early complication detection, and individualized rehabilitation. It has also advanced bone regeneration devices and neuroprosthetics, highlighting its innovation capabilities. While AI advancements in orthopedics are exciting, challenges remain, like the need for standardized surgical system validation protocols, assessing ethical consequences of AI-derived decision-making, and using AI with bioprinting for tissue engineering. Future research should focus on proving the reliability and predictability of the performance of AI-pivoted systems and their adoption within clinical practice. This review synthesizes recent developments and highlights the increasing impact of AI in orthopedic bioengineering and its potential future effectiveness in bone care and beyond.
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Affiliation(s)
- Rahul Kumar
- Department of Biochemistry and Molecular Biology, University of Miami Miller School of Medicine, 1600 NW 10th Ave, Miami, FL 33136, USA;
- Rush Medical College, Chicago, IL 60612, USA; (S.V.); (T.C.S.)
| | - Kyle Sporn
- Norton College of Medicine, SUNY Upstate Medical University, Syracuse, NY 13210, USA;
| | - Joshua Ong
- Kellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI 48105, USA;
| | - Ethan Waisberg
- Department of Clinical Neurosciences, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK;
| | - Phani Paladugu
- Sidney Kimmel Medical College, Thomas Jefferson University, 1025 Walnut St, Philadelphia, PA 19107, USA; (P.P.); (A.S.V.)
- Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115, USA
| | - Swapna Vaja
- Rush Medical College, Chicago, IL 60612, USA; (S.V.); (T.C.S.)
| | - Tamer Hage
- Department of Biological Sciences at Virginia Tech, Blacksburg, VA 24061, USA;
| | - Tejas C. Sekhar
- Rush Medical College, Chicago, IL 60612, USA; (S.V.); (T.C.S.)
| | - Amar S. Vadhera
- Sidney Kimmel Medical College, Thomas Jefferson University, 1025 Walnut St, Philadelphia, PA 19107, USA; (P.P.); (A.S.V.)
| | - Alex Ngo
- Department of Biochemistry and Molecular Biology, University of Miami Miller School of Medicine, 1600 NW 10th Ave, Miami, FL 33136, USA;
| | - Nasif Zaman
- Smith-Kettlewell Eye Research Institute, San Francisco, CA 94115, USA;
- Human-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, 1664 N Virginia St, Reno, NV 89557, USA;
| | - Alireza Tavakkoli
- Human-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, 1664 N Virginia St, Reno, NV 89557, USA;
| | - Mouayad Masalkhi
- School of Medicine, University College of Dublin, Belfield, D04 V1W8 Dublin, Ireland;
- Department of Electronic & Computer Engineering, University of Limerick, V94 T9PX Limerick, Ireland
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Deer TR, Pope JE, Petersen EA, Abdallah RT, Amirdelfan K, Azeem N, Bansal V, Barkoh K, Chapman KB, Denis DR, Dorsi MJ, Escobar A, Falowski SM, Garcia RA, Hagedorn JM, Heros RD, James WS, Kalia H, Lansford T, Malinowski MN, Manzi SM, Mehta P, Moghim RZ, Moore GA, Motivala SL, Navalgund YA, Patel RG, Pilitsis JG, Schatman ME, Shumsky PM, Strand NH, Tomycz ND, Yue JJ, Sayed D. An Evidence-Based Consensus for the Use of Neurostimulation for the Treatment of Non-Surgical Low Back Pain: The NEURON Group. J Pain Res 2025; 18:1247-1274. [PMID: 40104824 PMCID: PMC11917438 DOI: 10.2147/jpr.s500342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2024] [Accepted: 02/23/2025] [Indexed: 03/20/2025] Open
Abstract
Introduction The use of electrical neuromodulation has often been limited to those with previous back surgery, peripheral neuropathy, and complex regional pain syndrome. Many patients with severe intractable low back pain were thought to be candidates for spinal cord stimulation (SCS), dorsal root ganglion stimulation, or peripheral nerve stimulation but did not meet the criteria. Recently, additional high-level data has supported the use of SCS in non-surgical low back pain (NSLBP), and United States Food and Drug Administration approval has been granted. The American Society of Pain and Neuroscience (ASPN) executive committee realized an unmet need to develop criteria for patient selection for this specific patient population. This is a NEURON project (neuroscience, education, utilization, risk mitigation, optimal outcomes, and neuromodulation), a living guideline for evolving therapies and indications, and is focused on the use of neuraxial stimulation for the treatment of refractory pain. Methods After board approval, the society accepted nominees for the project, with an emphasis on experience, publication, research, and diversity. The team created an outline for discussion, chose a grading system based on published guidelines, and created consensus points. Results The evidence led to several consensus points to best guide patient selection based on the level of evidence and expert opinion. The results will lead to improved safety and efficacy in implanted patients, and to a new standard for best practices. Conclusion The selection of patients for implantation in those who have NSLBP should be based on published literature, best practice, and expert opinion. This NEURON project will allow for regular updates to create a living guideline that will allow for better assimilation of information to improve safety and efficacy going forward.
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Affiliation(s)
- Timothy Ray Deer
- Pain Services, Spine and Nerve Center of the Virginias, Charleston, WV, USA
| | | | - Erika A Petersen
- Department of Neurosurgery, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | | | - Kasra Amirdelfan
- Director of Clinical Research, Boomerang Healthcare, Walnut Creek, CA, USA
| | - Nomen Azeem
- Pain Medicine, Florida Spine & Pain Specialists, Riverview, FL, USA
| | - Vishal Bansal
- Department of Pain Medicine, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Kenneth B Chapman
- Department of Anesthesiology, NYU Langone Medical Center, New York, NY, USA
- Department of Anesthesiology, the Zucker School of Medicine at Northwell, New York, NY, USA
| | | | - Michael J Dorsi
- Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA
| | - Alexander Escobar
- Anesthesiology and Pain Medicine, University of Toledo, Toledo, OH, USA
| | | | | | - Jonathan M Hagedorn
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN, USA
| | | | | | - Hemant Kalia
- Center for Research & Innovation in Spine & Pain (CRISP), Rochester, NY, USA
| | | | | | | | - Pankaj Mehta
- Division of Pain and Minimally Invasive Surgery, Pain Specialists of America, Austin, TX, USA
| | - Robert Z Moghim
- Interventional Spine and Pain, Colorado Pain Care, Denver, CO, USA
| | | | | | - Yeshvant A Navalgund
- Office of the Chief Medical Officer, National Spine and Pain Centers, Frederick, MD, USA
| | - Raj G Patel
- Interventional Pain Management, Capitol Pain Institute, Austin, TX, USA
| | - Julie G Pilitsis
- Department of Clinical Neurosciences, Florida Atlantic University, Boca Raton, FL, USA
| | - Michael E Schatman
- Department of Anesthesiology, Perioperative Care & Pain Medicine, NYU Grossman School of Medicine, New York, NY, USA
- Department of Population Health - Division of Medical Ethics, NYU Grossman School of Medicine, New York, NY, USA
| | | | | | - Nestor D Tomycz
- Neurological Surgery, Allegheny Health Network, Pittsburgh, PA, USA
| | - James J Yue
- Frank h Netter School of Medicine, Quinnipiac University; CT Orthopaedics, Hamden, CT, USA
| | - Dawood Sayed
- Anesthesiology and Pain Medicine, the University of Kansas Medical Center, Kansas City, KS, USA
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Peacock J, Provenzano D, Fishman M, Amirdelfan K, Bromberg T, Schmidt T, White T, Grewal P, Justiz R, Calodney A, El‐Naggar A, Shah B, Esposito M, Gatzinsky K, Kallewaard JW, Poree L, Cleland A, Rice C, Theis E, Noel K, LaRue M. Low-energy differential target multiplexed SCS derivative reduces pain and improves quality of life through 12 months in patients with chronic back and/or leg pain. Pain Pract 2025; 25:e13407. [PMID: 39258956 PMCID: PMC11680466 DOI: 10.1111/papr.13407] [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] [Indexed: 09/12/2024]
Abstract
INTRODUCTION Energy-reducing spinal cord stimulation (SCS) approaches have the potential to impact patient experience with rechargeable and non-rechargeable SCS devices through reducing device recharge time or enhancing device longevity. This prospective, multi-center study evaluated the safety, effectiveness, and actual energy usage of differential target multiplexed (DTM) endurance therapy, a reduced energy DTM SCS derivative. METHODS Subjects who reported an overall pain visual analog score (VAS) of ≥6/10 cm and an Oswestry Disability Index score of 21-80 out of 100 at baseline with moderate to severe chronic, intractable back and/or leg pain were eligible. Evaluation visits occurred at 1, 3, 6, and 12 months post-device activation. The primary objective was to characterize change in overall pain intensity, as measured by VAS, from baseline to 3-month visit. RESULTS Fifty-seven subjects enrolled at 12 US sites from November 2020 through June 2021, 35 were implanted with a rechargeable SCS device, and 27 completed the 12-month visit. Subjects experienced a 50.4% mean reduction in overall pain from baseline at the 3-month follow-up that was sustained through 12 months. Additional outcomes including changes in overall, back, and leg pain intensity, quality of life, disability, therapy satisfaction, safety, and current battery usage are shown through 12-month follow-up. CONCLUSION The use of DTM endurance SCS therapy in this study resulted in reductions in pain relief through 12 months, demonstrating that energy-reducing stimulation patterns can provide clinical benefit. Clinically effective, reduced energy SCS derivatives have the potential to impact patient experience through either reduced recharge requirements or increased device longevity.
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Affiliation(s)
| | - David Provenzano
- Pain and Interventional CarePain Diagnostics and Interventional CareSewickleyPennsylvaniaUSA
| | - Michael Fishman
- Pain ManagementCenter for Interventional Pain & SpineLancasterPennsylvaniaUSA
| | | | - Todd Bromberg
- NeurologyDelaware Valley Pain and Spine InstituteTrevosePennsylvaniaUSA
| | - Todd Schmidt
- Interventional Pain ManagementGoodman Campbell Brain and SpineCarmelIndianaUSA
| | - Thomas White
- Pain ManagementSpritz Center for PainShenandoahTexasUSA
| | | | - Rafael Justiz
- Pain ManagementOklahoma Pain PhysiciansOklahoma CityOklahomaUSA
| | | | | | - Binit Shah
- Pain ManagementCarolinas Pain CenterCharlotteNorth CarolinaUSA
| | | | | | - Jan Willem Kallewaard
- Anesthesiology and Pain ManagementRijnstate HospitalArnhemThe Netherlands
- Amsterdam University Medical CenterAmsterdamThe Netherlands
| | - Lawrence Poree
- University of California san Francisco Pain Management CenterSan FranciscoCaliforniaUSA
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Goudman L, De Smedt A, Eldabe S, Rigoard P, Billot M, Roulaud M, Moens M. Differential target multiplexed spinal cord stimulation in patients with Persistent Spinal Pain Syndrome Type II: a study protocol for a 12-month multicentre cohort study (DETECT). BMJ Open 2024; 14:e083610. [PMID: 39521475 PMCID: PMC11551985 DOI: 10.1136/bmjopen-2023-083610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 09/06/2024] [Indexed: 11/16/2024] Open
Abstract
INTRODUCTION Differential target multiplexed spinal cord stimulation (DTM SCS) is a new stimulation paradigm for chronic pain management with the aim of modulating glial cells and neurons in order to rebalance their interactions. Animal studies revealed positive effects of this type of stimulation; however, studies in humans are still scarce, pointing towards the need for an evaluation of the effectiveness and safety of DTM SCS in clinical settings. Furthermore, the differential target multiplexed (DTM) algorithm consists of a combination of several programmes, which will presumably consume more energy from the spinal cord stimulation (SCS) battery. Therefore, the objective of DETECT is to investigate the feasibility, effectiveness and safety of DTM SCS in patients with Persistent Spinal Pain Syndrome Type II through a longitudinal cohort study. METHODS AND ANALYSIS DETECT is a prospective multicentre cohort study (n≥250) with a follow-up until 12 months after receiving DTM SCS. The study initiated in October 2021 and is currently still recruiting patients. Self-reporting outcome variables were evaluated at baseline (before SCS) and at 1, 6 and 12 months of DTM SCS. The primary effectiveness endpoint is overall pain intensity, measured with the visual analogue scale. Secondary effectiveness outcome measures are back pain intensity, leg pain intensity, disability, health-related quality of life, pain medication use, functional disability, clinical holistic responder status, self-management, impression of change, work status, pain catastrophising, symptoms of central sensitisation, anxiety, depression and healthcare utilisation. Time spent in different body postures and SCS stimulation parameters will be read out from the pulse generator. The prevalence of technical issues, recharge frequency, (serious) adverse events and the proportion of successful DTM trials will be collected as well. Longitudinal mixed models will be calculated to evaluate the effectiveness of DTM SCS over time. ETHICS AND DISSEMINATION The study protocol was approved by the central Ethics Committee of the Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (B.U.N.1432021000563) and the Ethics Committees of each participating centre. Research findings will be disseminated to key stakeholders through peer-reviewed publications in scientific journals and presentations to clinical audiences. TRIAL REGISTRATION NUMBER NCT05068011.
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Affiliation(s)
- Lisa Goudman
- STIMULUS research group, Vrije Universiteit Brussel, Brussel, Belgium
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Brussel, Belgium
- Cluster Neurosciences, Center for Neurosciences (C4N), Vrije Universiteit Brussel, Brussel, Belgium
- Pain in Motion (PAIN) Research Group, Department of Physiotherapy, Human Physiology and Anatomy, Vrije Universiteit Brussel, Brussel, Belgium
- Research Foundation—Flanders (FWO), Brussel, Belgium
| | - Ann De Smedt
- STIMULUS research group, Vrije Universiteit Brussel, Brussel, Belgium
- Cluster Neurosciences, Center for Neurosciences (C4N), Vrije Universiteit Brussel, Brussel, Belgium
- Department of Physical Medicine and Rehabilitation, Universitair Ziekenhuis Brussel, Brussel, Belgium
| | - Sam Eldabe
- Pain Clinic, The James Cook University Hospital, Middlesbrough, UK
| | - Philippe Rigoard
- PRISMATICS Lab (Predictive Research in Spine/Neuromodulation Management and Thoracic Innovation/Cardiac Surgery), CHU de Poitiers, Poitiers, France
- Service de neurochirurgie du rachis, chirurgie de la douleur et du handicap, CHU de Poitiers, Poitiers, France
- Pprime Institute UPR 3346, CNRS, ISAE-ENSMA, Université de Poitiers, Poitiers, France
| | - Maxime Billot
- PRISMATICS Lab (Predictive Research in Spine/Neuromodulation Management and Thoracic Innovation/Cardiac Surgery), CHU de Poitiers, Poitiers, France
| | - Manuel Roulaud
- PRISMATICS Lab (Predictive Research in Spine/Neuromodulation Management and Thoracic Innovation/Cardiac Surgery), CHU de Poitiers, Poitiers, France
| | - Maarten Moens
- STIMULUS research group, Vrije Universiteit Brussel, Brussel, Belgium
- Department of Neurosurgery, Universitair Ziekenhuis Brussel, Brussel, Belgium
- Cluster Neurosciences, Center for Neurosciences (C4N), Vrije Universiteit Brussel, Brussel, Belgium
- Pain in Motion (PAIN) Research Group, Department of Physiotherapy, Human Physiology and Anatomy, Vrije Universiteit Brussel, Brussel, Belgium
- Research Foundation—Flanders (FWO), Brussel, Belgium
- Department of Radiology, Universitair Ziekenhuis Brussel, Brussel, Belgium
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