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Effect of the Yon PD App on the Management of Self-Care in People With Parkinson Disease: Randomized Controlled Trial

Effect of the Yon PD App on the Management of Self-Care in People With Parkinson Disease: Randomized Controlled Trial

According to Riegel and colleagues [15], self-care consists of 3 components: self-care maintenance, self-care monitoring, and self-care management. These 3 components are connected and work together concurrently. Self-care maintenance refers to behaviors that maintain health. Self-care monitoring involves observing for symptom changes. Self-care management is the response to any observed symptom changes [15].

JuHee Lee, Subin Yoo, Yielin Kim, Eunyoung Kim, Hyeran Park, Young H Sohn, Yun Joong Kim, Seok Jong Chung, Kyoungwon Baik, Kiyeon Kim, Jee-Hye Yoo

J Med Internet Res 2025;27:e62822

Automatic Human Embryo Volume Measurement in First Trimester Ultrasound From the Rotterdam Periconception Cohort: Quantitative and Qualitative Evaluation of Artificial Intelligence

Automatic Human Embryo Volume Measurement in First Trimester Ultrasound From the Rotterdam Periconception Cohort: Quantitative and Qualitative Evaluation of Artificial Intelligence

The current standard for monitoring growth and development during early pregnancy is the crown-rump length (CRL). Early measurements of the CRL are used in standard clinical practice to estimate gestational age. Moreover, CRL measurements can be used to predict miscarriages and are associated with estimated fetal weight, birth weight, and adverse pregnancy outcomes [1-5]. Volumetric measurements of the human embryo during early pregnancy are a novel way to assess growth and development.

Wietske A P Bastiaansen, Stefan Klein, Batoul Hojeij, Eleonora Rubini, Anton H J Koning, Wiro Niessen, Régine P M Steegers-Theunissen, Melek Rousian

J Med Internet Res 2025;27:e60887

Glucagon-Like Peptide-1 Receptor Agonists Combined With Personalized Digital Health Care for the Treatment of Metabolic Syndrome in Adults With Obesity: Retrospective Observational Study

Glucagon-Like Peptide-1 Receptor Agonists Combined With Personalized Digital Health Care for the Treatment of Metabolic Syndrome in Adults With Obesity: Retrospective Observational Study

The Zone.Health’s meta[bolic] program, which combines pharmacotherapy with continuous engagement and monitoring to enable sustainable lifestyle modifications, demonstrated significant improvements in weight, body composition, and metabolic markers [11]. Enhancing traditional treatment paradigms by integrating continuous digital health monitoring with tailored pharmacotherapy.

Hala Zakaria, Hadoun Jabri, Sheikha Alshehhi, Milena Caccelli, Joelle Debs, Yousef Said, Joudy Kattan, Noah Almarzooqi, Ali Hashemi, Ihsan Almarzooqi

Interact J Med Res 2025;14:e63079

Toward Unsupervised Capacity Assessments for Gait in Neurorehabilitation: Validation Study

Toward Unsupervised Capacity Assessments for Gait in Neurorehabilitation: Validation Study

Standardized assessments to measure capacity, such as the 10-MWT may be complemented by data from continuous monitoring, which measures performance [29,30]. While unsupervised assessments and continuous monitoring are mostly associated with home settings, there are also many useful applications within a clinical environment. First, unsupervised assessments can reduce the assessment load on clinical staff, thus enhancing clinical efficiency [31].

Aileen C Naef, Guichande Duarte, Saskia Neumann, Migjen Shala, Meret Branscheidt, Chris Easthope Awai

J Med Internet Res 2025;27:e66123

Patient Acceptability and Technical Reliability of Wearable Devices Used for Monitoring People With Parkinson Disease: Survey Study

Patient Acceptability and Technical Reliability of Wearable Devices Used for Monitoring People With Parkinson Disease: Survey Study

The currently accepted monitoring of PD symptoms in clinical practice and trials is based on interviews and validated clinical scales and questionnaires [2]. However, the use of patient- and clinician-rated scales is resource-intensive, and the results limited by subjectivity and inaccuracy and are either one-off assessments or dependent on the patient’s recollection [3].

Tasmin Alanna Rookes, Amit Batla, Megan Armstrong, Gareth Ambler, Kate Walters, Anette Schrag

JMIR Form Res 2025;9:e63704

Explainable AI for Intraoperative Motor-Evoked Potential Muscle Classification in Neurosurgery: Bicentric Retrospective Study

Explainable AI for Intraoperative Motor-Evoked Potential Muscle Classification in Neurosurgery: Bicentric Retrospective Study

The importance of intraoperative neurophysiological monitoring (IONM) during high-risk neurosurgical and orthopedic procedures has been established in recent decades [1]. In particular, the monitoring of motor evoked potentials (MEPs) helps to assess the functional integrity of motor pathways during surgeries and allows postoperative motor outcomes to be predicted [2-9].

Qendresa Parduzi, Jonathan Wermelinger, Simon Domingo Koller, Murat Sariyar, Ulf Schneider, Andreas Raabe, Kathleen Seidel

J Med Internet Res 2025;27:e63937

Effect of a Telemedicine Model on Patients With Heart Failure With Reduced Ejection Fraction in a Resource-Limited Setting in Vietnam: Cohort Study

Effect of a Telemedicine Model on Patients With Heart Failure With Reduced Ejection Fraction in a Resource-Limited Setting in Vietnam: Cohort Study

Over the past decade, remote monitoring and telemedicine solutions have emerged as promising strategies to enhance HF care and management by enabling closer patient monitoring and facilitating timely, personalized clinical decision-making by health care providers [7,9,10]. Numerous clinical trials have demonstrated the benefits of telemedicine for patients with HF, particularly for reducing the risk of HF-related hospitalizations [9-12].

Hoai Thi Thu Nguyen, Hieu Ba Tran, Phuong Minh Tran, Hung Manh Pham, Co Xuan Dao, Thanh Ngoc Le, Loi Doan Do, Ha Quoc Nguyen, Thom Thi Vu, James Kirkpatrick, Christopher Reid, Dung Viet Nguyen

J Med Internet Res 2025;27:e67228

Emotion Forecasting: A Transformer-Based Approach

Emotion Forecasting: A Transformer-Based Approach

In this case, an EMA-style monitoring is conducted to rely solely on passively collected variables through mobile phone sensors and wearables, excluding all the patient-reported data. Several studies that reviewed the passive follow-up of patients with different conditions, including bipolar disorder, schizophrenia, and depression, highlighted the potential of passive biomarkers for the monitoring of different types of disorders.

Leire Paz-Arbaizar, Jorge Lopez-Castroman, Antonio Artés-Rodríguez, Pablo M Olmos, David Ramírez

J Med Internet Res 2025;27:e63962

Monitoring Public Health Through a Comprehensive Primary Care Database in the Netherlands: Overview of the Nivel Syndromic Surveillance System

Monitoring Public Health Through a Comprehensive Primary Care Database in the Netherlands: Overview of the Nivel Syndromic Surveillance System

Syndromic surveillance comprises the systematic, automated collection, analysis, and evaluation of real-time health data for the early monitoring and detection of changes in health indicators [1-3]. Data can be routinely collected from different sources, such as primary (general practitioners; GPs) or secondary care (emergency department visits) [4-6], depending on the health system structure.

Christos Baliatsas, Jojanneke van Summeren, Sander van Beusekom, Amy Matser, Mariette Hooiveld

JMIR Public Health Surveill 2025;11:e58767

Impact on Patient Outcomes of Continuous Vital Sign Monitoring on Medical Wards: Propensity-Matched Analysis

Impact on Patient Outcomes of Continuous Vital Sign Monitoring on Medical Wards: Propensity-Matched Analysis

The use of intermittent VS monitoring may fail to detect clinical deterioration, thereby precluding or delaying this process. The advent of wearable and wireless devices capable of continuous VS monitoring integrated into the clinical workflow offers a solution to the failure-to-detect paradigm associated with intermittent VS monitoring; however, clinical outcome data are needed.

Bradley Rowland, Amit Saha, Vida Motamedi, Richa Bundy, Scott Winsor, Daniel McNavish, William Lippert, Ashish K Khanna

J Med Internet Res 2025;27:e66347