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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

Early on, telemedicine referred to the use of technologies like radio to enable patient access to medical care in remote locations. However, with the advancement of technology, telemedicine has evolved and has been optimized to use sophisticated platforms that incorporate advanced computing and communication technologies [3,4].

Adaora Uloma Asomugha, Annamaria Pakai

JMIR Form Res 2025;9:e60294


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

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]. For instance, LLMs, such as GPT, have shown promise in providing diagnostic assistance and answering medical queries [5,7-9].

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

JMIR Med Inform 2025;13:e66917


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

By 2024, 692 AI/ML medical devices or algorithms were authorized and listed by the US FDA (Food and Drug Administration), mainly in radiology, followed by cardiology [7]. Such a database does not exist in Germany [8]. The German Federal Institute for Drugs and Medical Devices lists 65 digital health applications for patients that meet European standards for medical devices (CE-marked) and are reimbursed by public health insurance [9].

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


Breaking Digital Health Barriers Through a Large Language Model–Based Tool for Automated Observational Medical Outcomes Partnership Mapping: Development and Validation Study

Breaking Digital Health Barriers Through a Large Language Model–Based Tool for Automated Observational Medical Outcomes Partnership Mapping: Development and Validation Study

The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM), maintained by the Observational Health Data Sciences and Informatics (OHDSI) community, has emerged as a leading standardization solution with significant advantages for digital health research [6,7]. OMOP provides extensive documentation, quality monitoring libraries, and analytic tools that support research initiatives across multiple scales [8,9].

Meredith CB Adams, Matthew L Perkins, Cody Hudson, Vithal Madhira, Oguz Akbilgic, Da Ma, Robert W Hurley, Umit Topaloglu

J Med Internet Res 2025;27:e69004


Extracting Multifaceted Characteristics of Patients With Chronic Disease Comorbidity: Framework Development Using Large Language Models

Extracting Multifaceted Characteristics of Patients With Chronic Disease Comorbidity: Framework Development Using Large Language Models

This framework is rooted in Zuoyi GPT, a powerful architecture that builds upon the transformer model and has undergone extensive training and fine-tuning using extensive medical literature, clinical records, both online and offline patient visit data, and expert annotations. Compared to Chat GPT with GPT-4, Zuoyi GPT boasts more specialized medical information and clinical experience.

Junyan Zhang, Junchen Zhou, Liqin Zhou, Zhichao Ba

JMIR Med Inform 2025;13:e70096


Using WhatsApp for Nutrition Surveillance Among Children Under 5 Years in West Java, Indonesia: Cross-Sectional Survey and Feasibility Study

Using WhatsApp for Nutrition Surveillance Among Children Under 5 Years in West Java, Indonesia: Cross-Sectional Survey and Feasibility Study

Current Whats App utilization includes aiding in the preparation for professional medical licensing examinations and facilitating online-mediated learning [37,38]. It serves as a data collection tool for health questionnaires related to conditions like Williams-Beuren syndrome and acts as a survey tool for patients with COVID-19 and cancer [39,40].

Dewi Nur Aisyah, Chyntia Aryanti Mayadewi, Astri Utami, Fauziah Mauly Rahman, Nathasya Humaira Adriani, Erlangga Al Farozi, Meldi Hafizh Sayoko, Aulia Chairunisa, Liza Restiana, Logan Manikam, Zisis Kozlakidis

JMIR Pediatr Parent 2025;8:e58752


Context-Contingent Privacy Concerns and Exploration of the Privacy Paradox in the Age of AI, Augmented Reality, Big Data, and the Internet of Things: Systematic Review

Context-Contingent Privacy Concerns and Exploration of the Privacy Paradox in the Age of AI, Augmented Reality, Big Data, and the Internet of Things: Systematic Review

This understanding is particularly relevant for the fields of digital health and medical informatics, where privacy concerns are often heightened due to the sensitive nature of personal data. It equips policy makers and practitioners with tools to better address privacy violations, empower users with greater control over their data (eg, privacy self-management), and promote safer technological ecosystems through design principles such as privacy by design [11,12,58,66-68].

Christian Herriger, Omar Merlo, Andreas B Eisingerich, Annisa Rizkia Arigayota

J Med Internet Res 2025;27:e71951


Bridging Gaps in Telemedicine Education in Romania to Support Future Health Care: Scoping Review

Bridging Gaps in Telemedicine Education in Romania to Support Future Health Care: Scoping Review

For the purposes of this study and in accordance with Romanian legislation, telemedicine is defined as the use of digital technologies to deliver medical acts such as diagnosis, treatment, and therapy performed exclusively by licensed medical professionals. This differs from telehealth, which encompasses broader health-related services, including health education, prevention, and administrative activities.

Mircea Adrian Focsa, Virgil Rotaru, Octavian Andronic, Marius Marginean, Sorin Florescu

JMIR Med Educ 2025;11:e66458


Effect of Gamification on Improved Adherence to Inhaled Medications in Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial

Effect of Gamification on Improved Adherence to Inhaled Medications in Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial

Therefore, poor adherence to inhaled medication increases the rate of acute exacerbation and readmission of patients with COPD, which increases the burden on the medical system and the economic burden of patients [12].

Xiting Huang, Zhili Jiang, Yifan Dai, Yang Liu, Ziying Dai, Jing Wang, Liping Chen, Zhiqian Wang, Wenxiao Wu, Lihua Huang

J Med Internet Res 2025;27:e65309


Ethical Challenges and Opportunities of AI in End-of-Life Palliative Care: Integrative Review

Ethical Challenges and Opportunities of AI in End-of-Life Palliative Care: Integrative Review

Its application in areas such as the anticipation of complications, the personalization of treatments, and the optimization of resources has proven to be a key catalyst for improving the quality and efficiency of medical care [2]. Palliative medicine has also begun to benefit from the transformative potential of these technologies.

Abel García Abejas, David Geraldes Santos, Fabio Leite Costa, Aida Cordero Botejara, Helder Mota-Filipe, Àngels Salvador Vergés

Interact J Med Res 2025;14:e73517