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Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study

Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study

The early detection of patient deterioration and timely intervention can improve patient outcomes [2]. Various early warning scores (EWS) have been developed to identify the deterioration risk by monitoring different clinical variables, and the implementation of machine-learning EWS, such as the electronic cardiac arrest risk triage (e CART) score, has been associated with improved mortality [3-6].

Mahmudur Rahman, Jifan Gao, Kyle A Carey, Dana P Edelson, Askar Afshar, John W Garrett, Guanhua Chen, Majid Afshar, Matthew M Churpek

JMIR AI 2025;4:e67144

Media Framing and Portrayals of Ransomware Impacts on Informatics, Employees, and Patients: Systematic Media Literature Review

Media Framing and Portrayals of Ransomware Impacts on Informatics, Employees, and Patients: Systematic Media Literature Review

In 2019, an Alabama hospital was locked out of its computers for 8 days, unable to access patient records, locate staff, or monitor fetal heartbeats, cutting doctors and nurses off from critical patient information, equipment, and resources [8].

Atiya Avery, Elizabeth White Baker, Brittany Wright, Ishmael Avery, Dream Gomez

J Med Internet Res 2025;27:e59231

Infoveillance of COVID-19 Infections in Dentistry Using Platform X: Descriptive Study

Infoveillance of COVID-19 Infections in Dentistry Using Platform X: Descriptive Study

Since the API makes it possible to construct queries up to 1024 characters, we were able to search using long queries where we tried to include all possible keywords used in dental care, for example, dental hygienist, dental therapist, dental nurse, or dentist patient, to name a few. 

Alghalia Al-Mansoori, Ola Al Hayk, Sharifa Qassmi, Sarah M Aziz, Fatima Haouari, Tawanda Chivese, Faleh Tamimi, Alaa Daud

J Med Internet Res 2025;27:e54650

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

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]. Continuous and accurate assessment of PD features, in both clinical practice and trials, would provide more relevant information and overcome the limitations of clinical scales and questionnaires through real-world data.

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

JMIR Form Res 2025;9:e63704

Behavioral Therapy–Based Digital Interventions for Treating Osteoarthritis: Systematic Review and Meta-Analysis

Behavioral Therapy–Based Digital Interventions for Treating Osteoarthritis: Systematic Review and Meta-Analysis

Recent patient-centered guideline updates advocate for the implementation of rehabilitation interventions, including exercise therapy and educational programs as recommended nonpharmacological and nonsurgical treatment options [6,7]. These guidelines place a strong emphasis on the role of physical exercise, self-efficacy, and self-management strategies in the rehabilitation process for individuals with OA [8,9].

Beiyao Zhu, Dian Zhu, Xiao'ao Xue, Hongyi Yang, Shurong Zhang

J Med Internet Res 2025;27:e56227

Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study

Machine Learning–Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study

This method has provided a comprehensive understanding of patient risk profiles, but it may not fully capture complex, nonlinear interactions, potentially leading to less accurate risk assessments. Furthermore, the clinical variables incorporated into these systems were typically ascertained through univariate analysis, enriched by insights from expert opinions, or selected from a range of risk factors established in previous literature [8].

Mi-Young Oh, Hee-Soo Kim, Young Mi Jung, Hyung-Chul Lee, Seung-Bo Lee, Seung Mi Lee

J Med Internet Res 2025;27:e58021

Patient and Clinician Perspectives on the Effectiveness of Current Telemedicine Approaches in Endocrinology Care for Type 2 Diabetes: Qualitative Study

Patient and Clinician Perspectives on the Effectiveness of Current Telemedicine Approaches in Endocrinology Care for Type 2 Diabetes: Qualitative Study

Patient participants were recruited from respondents to a previous survey study about telemedicine for T2 D conducted between August 2022 and March 2023. All 24 patient participants contacted for recruitment were adults aged >18 years with T2 D who had used telemedicine in the past year to access endocrinology care at 1 of 7 clinical sites associated with a single large academic medical center. Interviews with clinicians were conducted between June and August 2023.

Margaret Zupa, Megan Hamm, Lane Alexander, Ann-Marie Rosland

JMIR Diabetes 2025;10:e60765

Novel Versus Conventional Sequencing of β-Blockers, Sodium/Glucose Cotransportor 2 Inhibitors, Angiotensin Receptor-Neprilysin Inhibitors, and Mineralocorticoid Receptor Antagonists in Stable Patients With Heart Failure With Reduced Ejection Fraction (NovCon Sequencing Study): Protocol for a Randomized Controlled Trial

Novel Versus Conventional Sequencing of β-Blockers, Sodium/Glucose Cotransportor 2 Inhibitors, Angiotensin Receptor-Neprilysin Inhibitors, and Mineralocorticoid Receptor Antagonists in Stable Patients With Heart Failure With Reduced Ejection Fraction (NovCon Sequencing Study): Protocol for a Randomized Controlled Trial

However, rapid up-titration must be balanced with patient safety and tolerability. Sacubitril and valsartan, β-blockers, mineralocorticoid receptor antagonists (MRAs), and SGLT2is are disease-modifying agents that are used as combination therapy and are now regarded as a foundational therapy for HFr EF [1,2]. The conventional approach to initiating and optimizing HFr EF therapy reflects the sequence in which drugs were developed and trialed over the past 40 years [1].

Sumanth Karamchand, Tsungai Chipamaunga, Poobalan Naidoo, Kiolan Naidoo, Virendra Rambiritch, Kevin Ho, Robert Chilton, Kyle McMahon, Rory Leisegang, Hellmuth Weich, Karim Hassan

JMIR Res Protoc 2025;14:e44027

Augmenting Insufficiently Accruing Oncology Clinical Trials Using Generative Models: Validation Study

Augmenting Insufficiently Accruing Oncology Clinical Trials Using Generative Models: Validation Study

RWD can be used for matched controls [18] where patient data from external sources are used instead of recruiting patients to the trial itself. In such a case, previous similar trials, registries, or e Health record datasets on patients under the standard of care are matched to the treatment arm patients, and the matched patients’ data are used as the control arm [19,20]. Such an approach with external controls has been used for running single-arm oncology trials [21,22].

Samer El Kababji, Nicholas Mitsakakis, Elizabeth Jonker, Ana-Alicia Beltran-Bless, Gregory Pond, Lisa Vandermeer, Dhenuka Radhakrishnan, Lucy Mosquera, Alexander Paterson, Lois Shepherd, Bingshu Chen, William Barlow, Julie Gralow, Marie-France Savard, Christian Fesl, Dominik Hlauschek, Marija Balic, Gabriel Rinnerthaler, Richard Greil, Michael Gnant, Mark Clemons, Khaled El Emam

J Med Internet Res 2025;27:e66821

Poststroke eHealth Technologies–Based Rehabilitation for Upper Limb Recovery: Systematic Review

Poststroke eHealth Technologies–Based Rehabilitation for Upper Limb Recovery: Systematic Review

Home-based TR is a branch of telemedicine that consists of the use of a variety of telecommunication platforms (such as telephone visits, mobile apps, serious games, web-based self-care programs, web-based videoconferencing, and sensor-based telemonitoring) by health care professionals to provide necessary patient care and remote evaluation, supervision, and support for persons with disabilities living at home [11,21].

Margherita Rampioni, Sara Leonzi, Luca Antognoli, Anna Mura, Vera Stara

J Med Internet Res 2025;27:e57957