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From E-Patients to AI Patients: The Tidal Wave Empowering Patients, Redefining Clinical Relationships, and Transforming Care

From E-Patients to AI Patients: The Tidal Wave Empowering Patients, Redefining Clinical Relationships, and Transforming Care

In contrast, 20% of the public used the internet 2 years after its launch, and 20% owned a computer after 3 years of availability. While price and ease of use play a role in the difference, the advancement of AI is without historic parallel. Projections of the health AI market over the next decade are staggering, with estimates of US $27 billion in 2024 climbing to US $613 billion by 2034 [6]. At this early stage, the direct-to-consumer market may mature faster and more readily than inside health care [7].

Susan S Woods, Sarah M Greene, Laura Adams, Grace Cordovano, Matthew F Hudson

J Particip Med 2025;17:e75794

Use of Virtual Reality in the Pediatric Perioperative Setting and for Induction of Anesthesia: Mixed Methods Pilot Feasibility Study

Use of Virtual Reality in the Pediatric Perioperative Setting and for Induction of Anesthesia: Mixed Methods Pilot Feasibility Study

With regard to VR use during induction of anesthesia, 2 randomized controlled trials (RCTs) by Jung et al [19] and Samnakay et al [20] have demonstrated the efficacy of a VR game for distraction and anxiety reduction compared to standard care or noninferiority to the use of a 2 D tablet. The perioperative period is a continuum of multiple moments that can cause anxiety, including awaiting surgery in the waiting room, being transported to the OR, and undergoing induction of anesthesia in the OR.

Yu Tong Huang, Sofia Addab, Gianluca Bertolizio, Reggie Hamdy, Kelly Thorstad, Argerie Tsimicalis

JMIR Perioper Med 2025;8:e58905

Online Group–Based Dual-Task Training to Improve Cognitive Function of Community-Dwelling Older Adults: Randomized Controlled Feasibility Study

Online Group–Based Dual-Task Training to Improve Cognitive Function of Community-Dwelling Older Adults: Randomized Controlled Feasibility Study

Throughout the session, participants were instructed to sit on a sturdy chair with a back rest in front of a desktop computer, laptop, tablet, or mobile phone securely placed on a table. Mobile device users were provided with stands for better posture (all participants received the stand as a souvenir). To allow enough space for movement, the chair and table needed to be positioned 60 cm apart.

Pui Hing Chau, Denise Shuk Ting Cheung, Jojo Yan Yan Kwok, Wai Chi Chan, Doris Sau Fung Yu

JMIR Aging 2025;8:e67267

Stakeholders and Contextual Factors in the Implementation of Assistive Robotic Arms for Persons With Tetraplegia: Deductive Content Analysis of Focus Group Interviews

Stakeholders and Contextual Factors in the Implementation of Assistive Robotic Arms for Persons With Tetraplegia: Deductive Content Analysis of Focus Group Interviews

A graphical user interface displayed on a tablet near the user presents live and processed images from the camera. Users with some arm mobility can interact with the system by using the tablet’s touch screen to issue commands, while those without sufficient mobility rely on speech recognition powered by Whisper (Open AI) [48]. The robotic arm system is designed to ensure simple operation and intelligent robotic behavior.

Vera Fosbrooke, Marco Riguzzi, Anja M Raab

JMIR Rehabil Assist Technol 2025;12:e65759

Quality and Misinformation About Health Conditions in Online Peer Support Groups: Scoping Review

Quality and Misinformation About Health Conditions in Online Peer Support Groups: Scoping Review

Online peer support groups, otherwise named online support communities, are virtual spaces where individuals exchange health-related information (ie, factual knowledge that is not based on a person’s opinion); advice (ie, a recommendation for action based on someone’s experience); and peer support (ie, sharing personal experiences and emotional, social, or practical support with one another) often through asynchronous, text-based computer-mediated communication platforms (eg, discussion forums and social media

Bethan M Treadgold, Neil S Coulson, John L Campbell, Jeffrey Lambert, Emma Pitchforth

J Med Internet Res 2025;27:e71140

Patient Triage and Guidance in Emergency Departments Using Large Language Models: Multimetric Study

Patient Triage and Guidance in Emergency Departments Using Large Language Models: Multimetric Study

With the ongoing shortage of physicians and growing pressure on public health care resources [12], the implementation of “digital doctors,” which are computer-based chatbots or diagnostic algorithms, seems urgent for governments to alleviate the strain on medical resources. Existing research regarding the use of Chat GPT in the medical field has demonstrated high performance and reliability in specific application scenarios [13].

Chenxu Wang, Fei Wang, Shuhan Li, Qing-wen Ren, Xiaomei Tan, Yaoyu Fu, Di Liu, Guangwu Qian, Yu Cao, Rong Yin, Kang Li

J Med Internet Res 2025;27:e71613

Virtual Reality for the Prevention and Cessation of Nicotine Vaping in Youths: Protocol for a Randomized Controlled Trial

Virtual Reality for the Prevention and Cessation of Nicotine Vaping in Youths: Protocol for a Randomized Controlled Trial

VR is an immersive, computer-generated simulation that enables users to navigate within a 3 D environment and interact with objects within the environment. One study used a pre-post design to test a VR program that focused on teaching vaping refusal skills (n=47) during 2 play sessions [15].

Belinda Borrelli, Daniel Weinstein, Romano Endrighi, Nikki Ling, Kathleen Koval, Lisa M Quintiliani, Kaitlyn Konieczny

JMIR Res Protoc 2025;14:e71961

Patients’ Perceptions of Artificial Intelligence Acceptance, Challenges, and Use in Medical Care: Qualitative Study

Patients’ Perceptions of Artificial Intelligence Acceptance, Challenges, and Use in Medical Care: Qualitative Study

AI comprises machine learning (ML), deep learning, natural language processing, and computer vision [2]. The presence of AI has been steadily growing over the past few decades, particularly in developed countries, and has also expanded in health care in recent years [3,4]. In 2017, Esteva et al [5] published a study in which a neural network-based AI system outperformed dermatologists in the accuracy of diagnosing and classifying benign and malignant skin conditions.

Jana Gundlack, Carolin Thiel, Sarah Negash, Charlotte Buch, Timo Apfelbacher, Kathleen Denny, Jan Christoph, Rafael Mikolajczyk, Susanne Unverzagt, Thomas Frese

J Med Internet Res 2025;27:e70487

Recognition of Basic Activities of Daily Living Using Wearable Devices for Older Adults: Scoping Review

Recognition of Basic Activities of Daily Living Using Wearable Devices for Older Adults: Scoping Review

Existing datasets often only include younger adults because the main impetus for most data collection is to prove system feasibility (ie, prove that a computer can recognize the targeted activities with the used sensors). Researchers often assume that systems trained on data from younger adults will perform adequately for older adults because researchers expect that their systems will generalize to new populations.

Samantha J Ray, Josh Cherian, Amanda Mae Liberty, Tracy Anne Hammond, Paula K Shireman

J Med Internet Res 2025;27:e67373

Personalized Digital Care Pathways Enable Enhanced Patient Management as Perceived by Health Care Professionals: Mixed-Methods Study

Personalized Digital Care Pathways Enable Enhanced Patient Management as Perceived by Health Care Professionals: Mixed-Methods Study

The secondary aim was to describe the number and type of decisions supported by the software, by analyzing human-computer interactions made on the Up Hill Route v3 graphical user interface. Decisions made with the support of the software are encapsulated in decision gateways, which are elements within Up Hill Route v3 that prompt decision-making based on specific criteria. These criteria may be related to the patient’s condition, signs and symptoms, or clinical results.

David Rodrigues, Clara Jasmins, Ricardo Ladeiras-Lopes, Luis Patrao, Eduardo Freire Rodrigues

JMIR Hum Factors 2025;12:e68581