Unsupervised Characterization of Temporal Dataset Shifts as an Early Indicator of AI Performance Variations: Evaluation Study Using the Medical Information Mart for Intensive Care-IV Dataset
JMIR Med Inform. 2025 Dec 3;13:e78309. doi: 10.2196/78309. ABSTRACT BACKGROUND: Reusing long-term data from electronic health records is essential for training reliable and effective health artificial intelligence (AI). However, intrinsic changes in health data distributions over time-known as dataset shifts, which include concept, covariate, and prior shifts-can compromise model performance, leading to model obsolescence and […]
The Rise of Smart Implants: How High-Tech Devices Are Rewriting Patient Care
Surgeons initiated testing artificial materials for joint replacement in the early 1900s, and the first successful hip implant surgeries were performed in the early 1960s. Today, implants have evolved into smart devices equipped with microelectronic sensors and data analytics, enabling them to transmit real-time physiological and performance information. Orthopaedics, dentistry, and other medical specialties now […]
Increasing Candida Resistance and Its Impact on Thrush Management
Thrush is a common infection caused by the yeast Candida albicans. It is becoming more difficult to treat because of the rapid increase in antifungal resistance, a trend with major global health implications. Although Candida infections can be treated with antifungal drugs like fluconazole, the primary treatment for most cases, an increasing number of Candida […]
The mediating role of transition shock between work readiness and workplace adaptability in newly graduated nurses: A cross-sectional study
Medicine (Baltimore). 2025 Nov 28;104(48):e46268. doi: 10.1097/MD.0000000000046268. ABSTRACT This study aimed to investigate the mediating role of transition shock (TS) in the relationship between work readiness and workplace adaptability among newly graduated nurses by constructing a structural equation model. In a cross-sectional survey, 208 newly graduated nurses were selected from 2 tertiary hospitals (Wuhan, China), […]
Understanding smartphone use patterns in higher education: A latent class approach to behavioral and health risk typologies
PLoS One. 2025 Dec 2;20(12):e0337918. doi: 10.1371/journal.pone.0337918. eCollection 2025. ABSTRACT INTRODUCTION: The widespread use of smartphones among university students has raised concern because of their potential effects and the need to detect profiles of problematic use. This study aimed to identify, characterize and differentiate different profiles of smartphone users in a sample of university students […]
Optimizing an App-Based Just-in-Time Adaptive Intervention for Stimulant Use Among Sexual Minority Men Living with HIV: Protocol for a Community-Engaged Research Approach and Hybrid-Experimental Design
JMIR Res Protoc. 2025 Dec 2;14:e76741. doi: 10.2196/76741. ABSTRACT BACKGROUND: In the United States, sexual minority men (SMM) are disproportionately affected by HIV. For this population, intersecting sexual minority- and HIV-related stressors add to general life stress, increasing health risks. Stress is associated with HIV progression and is linked to transmission risk behaviors, such as […]
Management of postoperative pain in pediatric patients after outpatient surgery using a smartphone application: what is the opinion of the users?
Minerva Anestesiol. 2025 Nov;91(11):1013-1019. doi: 10.23736/S0375-9393.25.18779-8. ABSTRACT BACKGROUND: Adequate postoperative pain management is an important part of perioperative care in terms of patient comfort and faster recovery. Unfortunately, pediatric patients frequently experience high levels of postoperative pain, also at home after outpatient surgery. Assessment and management of pain could be achieved through a smartphone application. […]
Self-Supervised App-Based Speech Training for Children With Speech Sound Disorder-A Single-Case Experimental Design Study
Int J Lang Commun Disord. 2026 Jan-Feb;61(1):e70163. doi: 10.1111/1460-6984.70163. ABSTRACT BACKGROUND: For children with speech sound disorder (SSD), speech intervention often involves a considerable amount of home-training, to achieve high-enough training frequency to promote speech change. A digital speech-training app has been developed that could serve as a cost-effective means of providing accessible intervention to […]
Usability Evaluation of Digital Health Applications for Older People With Depressive Disorders: Prospective Observational Study in a Mixed Methods Design
JMIR Hum Factors. 2025 Nov 28;12:e66271. doi: 10.2196/66271. ABSTRACT BACKGROUND: Digital health applications (DiGA) have been integrated into Germany’s health care system since 2019, offering certified medical devices for various health conditions. This study focuses on deprexis and Selfapy, the first 2 permanently approved DiGA for depressive disorders in Germany, to evaluate their usability for […]
Exploring Age-Related Patterns in Smartphone Keystroke Dynamics Considering Temporal Variability: Cross-Sectional Study With AI-Based Analysis
JMIR Mhealth Uhealth. 2025 Dec 2;13:e80094. doi: 10.2196/80094. ABSTRACT BACKGROUND: Keystroke dynamics on smartphones have emerged as a promising form of passive digital biomarker. While previous studies have explored their utility in several diseases and disorders, relatively few have examined how these dynamics change systematically with chronological age in the general population. OBJECTIVE: This study […]
