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To Implement or Not to Implement? A Commentary on the Pitfalls of Judging the Value and Risks of Personalized Prognostic Statistical Models

To Implement or Not to Implement? A Commentary on the Pitfalls of Judging the Value and Risks of Personalized Prognostic Statistical Models

The digital transformation of health care necessitates harvesting insights from massive datasets by exploiting the potential of modern artificial intelligence and machine learning solutions and allowing, among others, the prediction of health outcomes for one specific treatment based on specific patient characteristics. Their medical application has attracted increasing attention and focus on the predictive power of the emerging complex statistical models in medicine [1].

Linda Baumbach, Walter Hötzendorfer, Jan Baumbach

J Med Internet Res 2025;27:e69341


Trends and Shifts in Swedish Telemedicine Consultations During the Pre–COVID-19, COVID-19, and Post–COVID-19 Periods: Retrospective Observational Study

Trends and Shifts in Swedish Telemedicine Consultations During the Pre–COVID-19, COVID-19, and Post–COVID-19 Periods: Retrospective Observational Study

Our findings provide evidence that, during the COVID-19 pandemic, there was a pronounced increase in telemedicine consultations for general health-related problems compared to the pre–COVID-19 and post–COVID-19 periods. As telemedicine was the only available alternative to access health care in the context of the public health measures taken during COVID-19, it is possible to correlate this marked elevation in teleconsultations for general health-related issues with other recorded symptoms.

Adaora Uloma Asomugha, Annamaria Pakai

JMIR Form Res 2025;9:e60294


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

Along with the hope (and hype) of AI within health care, the public is swiftly taking AI into their own hands. Consumers are at the forefront in this era of AI. A survey conducted in January 2025 by Imagining the Digital Future Center found that 52% of US adults used Chat GPT, Gemini, Co Pilot, or other LLMs. Among LLM users, half reported personal learning as their goal, and 39% sought information about physical or mental health [3].

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

J Particip Med 2025;17:e75794


Exploring Ethics: Understanding the Role of Privacy Policies and Institutional Review Boards in Digital Health Companies

Exploring Ethics: Understanding the Role of Privacy Policies and Institutional Review Boards in Digital Health Companies

This heightened investment has driven innovation across fields such as digital health, artificial intelligence, and technology. As private sector investment in research accelerates, concerns are emerging about whether existing ethical oversight mechanisms are evolving sufficiently to address the complexities of commercial research.

Jacqlyn L Yourell, Kelsey L McAlister, Clare C Beatty, Jennifer L Huberty

J Med Internet Res 2025;27:e70711


Benchmarking the Confidence of Large Language Models in Answering Clinical Questions: Cross-Sectional Evaluation Study

Benchmarking the Confidence of Large Language Models in Answering Clinical Questions: Cross-Sectional Evaluation Study

With their capacity to understand and generate human-like text, large language models (LLMs) are poised to support health care professionals in complex clinical decisions [1-3]. A wide array of LLMs is now accessible, including open-source models, offering solutions that cater to both the public and medical professionals [1,4]. The efficacy of these models has been demonstrated in a variety of tasks, albeit with some limitations [5,6].

Mahmud Omar, Reem Agbareia, Benjamin S Glicksberg, Girish N Nadkarni, Eyal Klang

JMIR Med Inform 2025;13:e66917


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

HCP: health care professional; OR: operating room; VR: virtual reality. Health care professionals appeared enthusiastic about the VR intervention, encouraging the patients during gameplay and offering implementation suggestions to the research team. On 6 occasions, the clinician adapted their preoperative evaluation in the waiting room to minimize interruption to the VR intervention by speaking to the parents or by discretely performing the task while the patient continued playing.

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

The cognitive health of older people is critical to aging in place. Even among healthy older adults, about one-third may experience cognitive decline within 18 months [1], impacting decision-making and daily activities like managing finances, medications, transportation, and meal preparation [2]. Cognitive decline is also linked to decreased physical performance and psychosocial issues, such as loneliness and depression [3]. The health care burden may thus increase in the long run [3].

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

SCI is a profound, life-altering condition that affects approximately 15.4 million people worldwide [2], with significant impacts on individuals, caregivers, and health care systems [3-6]. Tetraplegia, the partial or complete loss of motor and sensory function in all 4 extremities and the trunk, is a common manifestation of cervical SCI [7].

Vera Fosbrooke, Marco Riguzzi, Anja M Raab

JMIR Rehabil Assist Technol 2025;12:e65759


Experience of Using Electronic Inhaler Monitoring Devices for Patients With Chronic Obstructive Pulmonary Disease or Asthma: Systematic Review of Qualitative Studies

Experience of Using Electronic Inhaler Monitoring Devices for Patients With Chronic Obstructive Pulmonary Disease or Asthma: Systematic Review of Qualitative Studies

Respiratory diseases pose a global health challenge, with chronic obstructive pulmonary disease (COPD) and asthma among the most prevalent types [1]. These conditions result in significant morbidity and mortality worldwide, imposing a substantial and growing health burden [2,3]. While severe respiratory diseases are often incurable, inhaled medications can prevent acute exacerbations [4].

Jilong Duan, Xia Chen, Di Fan, Haikun Jiang, Xue Zhang, Wenyue Zhang, Zhiping Liu, Hongyan Lu

JMIR Mhealth Uhealth 2025;13:e57645