Transformative Frontiers: A Comprehensive Review of Emerging Technologies in Modern Healthcare

The rapid evolution of emerging technologies in healthcare is reshaping the field of medical practices and patient outcomes, ushering in an era of unprecedented innovation. This narrative review touches upon the transformative impacts of various technologies, including virtual reality (VR), augmented reality (AR), the internet of medical things (IoMT), remote patient monitoring (RPM), financial technology (fintech) integration, cloud migration, and the pivotal role of machine learning (ML). It emphasizes the collaborative impact of these technologies, which is reshaping the healthcare landscape. Virtual reality and AR revolutionize medical training, IoMT extends healthcare boundaries, RPM facilitates proactive care, and fintech integration enhances financial processes. Cloud migration ensures scalable and efficient data management, while ML harnesses algorithms for diagnostic precision and personalized treatment.

The Dual Importance of Virtual Reality Usability in Rehabilitation: A Focus on Therapists and Patients

Virtual reality (VR) has advanced in medical education and rehabilitation from basic graphical applications due to its ability to generate a virtual three-dimensional (3D) environment. This environment is mostly used to practice professional skills, plan surgery procedures, simulate surgeries, display 3D anatomy, and rehabilitate various disorders. VR has transformed the field of rehabilitation therapy by providing immersive and engaging experiences that go beyond traditional bounds, significantly improving patient care and therapeutic results. Considering the direct impact of VR on the efficacy of the treatment for both therapists and patients, its dual significance for usability and user experience cannot be overstated. The purpose of this article is to determine the synergistic association between VR accessibility and the rehabilitation process, highlighting the significance of VR technology in designing the future of rehabilitation therapy and demonstrating how advancing VR technology can improve therapeutic outcomes despite overcoming obstacles encountered during VR usage. In conclusion, VR offers a personalized, efficient, interesting, and engaging rehabilitative environment for patients, while also assisting therapists in cultivating empathy and efficiency and encouraging innovative approaches in treatment procedures.

A Literature Review of the Future of Oral Medicine and Radiology, Oral Pathology, and Oral Surgery in the Hands of Technology

In the realm of dentistry, a myriad of technological advancements, including teledentistry, virtual reality (VR), artificial intelligence (AI), and three-dimensional printing, have been extensively embraced and rigorously evaluated, consistently demonstrating their remarkable effectiveness. These innovations have ushered in a transformative era in dentistry, impacting every facet of the field. They encompass activities ranging from the diagnosis and exploration of oral health conditions to the formulation of treatment plans, execution of surgical procedures, fabrication of prosthetics, and even assistance in patient distraction, prognosis, and disease prevention. Despite the significant strides already taken, the relentless pursuit of new horizons fueled by human curiosity remains unabated. The future landscape of dentistry holds the promise of sweeping changes, notably characterized by enhanced accessibility to dental care and reduced treatment durations. In this comprehensive review article, we delve into the pivotal roles played by AI, VR, augmented reality, mixed reality, and extended reality within the realm of dentistry, with a particular emphasis on their applications in oral medicine, oral radiology, oral surgery, and oral pathology. These technologies represent just a fraction of the technological arsenal currently harnessed in the field of dentistry. A thorough comprehension of their advantages and limitations is imperative for informed decision-making in their utilization.

Virtual and Augmented Reality in Post-stroke Rehabilitation: A Narrative Review

Virtual reality (VR) and augmented reality (AR) are noble adjunctive technologies currently being studied for the neuro-rehabilitation of post-stroke patients, potentially enhancing conventional therapy. We explored the literature to find if VR/AR improves neuroplasticity in stroke rehabilitation for a better quality of life. This modality can lay the foundation for telerehabilitation services in remote areas. We analyzed four databases, namely Cochrane Library, PubMed, Google Scholar, and Science Direct, by searching the following keywords: ("Stroke Rehabilitation" [Majr]) AND ("Augmented Reality" [Majr]), Virtual Augmented Reality in Stroke Rehabilitation. All the available open articles were reviewed and outlined. The studies conclude that VR/AR can help in early rehabilitation and yield better results in post-stroke patients in adjunct to conventional therapy. However, due to the limited research on this subject, we cannot conclude that this information is absolute. Moreover, VR/AR was seldom customized according to the needs of stroke survivors, which would have given us the full extent of its application. Around the world, stroke survivors are being studied to verify the accessibility and practicality of these innovative technologies. Observations conclude that further exploration of the extent of the implementations and efficacy of VR and AR, combined with conventional rehabilitation, is fundamental.

Virtual Reality and Augmented Reality in Anatomy Education During COVID-19 Pandemic

The pandemic of COVID-19 has radically changed the anatomy education approaches. This happens because medical students, due to the necessity of remote education, didn't have access to cadavers, which was the principal method of dissection training. Circumstances like these encouraged the health care providers to innovate new teaching methods with the help of virtual and augmented reality to outdistance the restrictions. This review aims to examine the pioneer technological and educational tools and their usage in the future. Detailed research was performed via the PubMed database using the following keywords "Virtual Reality (VR), Augmented Reality (AR), Anatomy Education, and COVID-19". No further filters were used. All the existing evidence suggests that the vast majority was negatively affected by the COVID-19 era. Using new technological methods in anatomy training could not effectively replace the absence of the traditionally used teaching methods like dissection, prosection, and lectures by physical presence. Although the new digital anatomy teaching approaches seem to be very promising, it is not clear if they can fully replace the traditional anatomy education methods.

A Systematic Review of the Medical Student Feedback on Undergraduate Surgical Education During the Pandemic

The coronavirus disease 2019 (COVID-19) pandemic has challenged and changed significant aspects of day-to-day life. With regard to medical education, the challenges have been substantial, and the changes have been innovative. This systematic review focuses specifically on medical student feedback on undergraduate surgical education during the pandemic. It explores the various types of technology used to facilitate online learning and aims to comprehensively review the advantages and disadvantages. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were adhered to, and electronic databases PubMed, Medline, and Scopus were used to identify relevant studies. The search yielded 102 papers once duplicates and non-English articles were removed. Of these, 19 articles were included in the review. These publications were appraised, which was the source of the narrative syntheses of this systematic review, and due to the heterogeneous data, a meta-analysis could not be successfully implemented. The integration of real-time image capture devices used to display stakeholders or objects such as models of wounds has resulted in the improvement of virtual learning to an almost in-person experience. Adding to this, the use of communication and participation platforms facilitates active discussion when used appropriately. However, there are still some barriers that may be removed with time as the technology continually improves, and these are not exclusive to connectivity issues and restriction of the senses to only two-dimensional sight and hearing. Despite this, the student feedback was largely positive, and the integration of more innovative methods of delivering teaching will have a positive impact on education as long as it is used as an adjunct and not as a replacement for face-to-face teaching.

Using Neurofeedback from Steady-State Visual Evoked Potentials to Target Affect-Biased Attention in Augmented Reality

Biases in attention to emotional stimuli (i.e., affect-biased attention) contribute to the development and mainte-nance of depression and anxiety and may be a promising target for intervention. Past attempts to therapeutically modify affect-biased attention have been unsatisfactory due to issues with reliability and precision. Electroencephalogram (EEG)-derived steady-state visual evoked potentials (SSVEPS) provide a temporally-sensitive biological index of attention to competing visual stimuli at the level of neuronal populations in the visual cortex. SSVEPS can potentially be used to quantify whether affective distractors vs. task-relevant stimuli have "won" the competition for attention at a trial-by-trial level during neuro-feedback sessions. This study piloted a protocol for a SSVEP-based neurofeedback training to modify affect-biased attention using a portable augmented-reality (AR) EEG interface. During neurofeedback sessions with five healthy participants, signifi-cantly greater attention was given to the task-relevant stimulus (a Gabor patch) than to affective distractors (negative emotional expressions) across SSVEP indices (p<0.000l). SSVEP indices exhibited excellent internal consistency as evidenced by a maximum Guttman split-half coefficient of 0.97 when comparing even to odd trials. Further testing is required, but findings suggest several SSVEP neurofeedback calculation methods most deserving of additional investigation and support ongoing efforts to develop and implement a SSVEP-guided AR-based neurofeedback training to modify affect-biased attention in adolescent girls at high risk for depression.