e.g. mhealth
Search Results (1 to 10 of 132 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 36 Journal of Medical Internet Research
- 19 JMIR Medical Informatics
- 18 JMIR Formative Research
- 16 JMIR Research Protocols
- 5 JMIRx Med
- 4 JMIR Dermatology
- 4 JMIR Human Factors
- 4 JMIR Public Health and Surveillance
- 3 JMIR Aging
- 3 JMIR Cancer
- 3 JMIR Medical Education
- 3 JMIR mHealth and uHealth
- 2 Interactive Journal of Medical Research
- 2 JMIR Cardio
- 2 JMIR Perioperative Medicine
- 2 JMIR Serious Games
- 1 JMIR AI
- 1 JMIR Diabetes
- 1 JMIR Mental Health
- 1 JMIR Pediatrics and Parenting
- 1 JMIR Rehabilitation and Assistive Technologies
- 1 Journal of Participatory Medicine
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Challenges
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Nursing
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 Online Journal of Public Health Informatics
- 0 JMIR XR and Spatial Computing (JMXR)
Aggregate VS scoring systems such as the early warning score (EWS) have been developed to aid in the identification and risk stratification of patients at risk of or experiencing clinical deterioration. Once identified, clinical response teams, often termed “rapid response teams” (RRTs), may intervene to provide stabilization or transfer to a higher level of care. This identification and response have been described as the afferent and efferent arms, respectively, of rapid response [16].
J Med Internet Res 2025;27:e66347
Download Citation: END BibTex RIS
This approach is limited by several clinical misconceptions and assumptions: first, the most efficacious anti–heart failure therapies were developed first. The counterargument is exemplified by the fact that digitalis has been used in clinical practice for 200 years, yet it is no longer considered a key therapeutic agent. Second, drug efficacy is only achieved at maximum target doses [1].
JMIR Res Protoc 2025;14:e44027
Download Citation: END BibTex RIS
Therefore, our results suggest that the AI-enabled therapy support tool may improve individual patients’ outcomes and support clinical services by increasing treatment adherence and treatment effectiveness.
We evaluated the efficacy of an AI-enabled therapy support tool (Limbic Care; Limbic Ltd [25]) in a real-world clinical context in 5 NHS Talking Therapies for anxiety and depression services provided by Everyturn Mental Health in the United Kingdom.
J Med Internet Res 2025;27:e60435
Download Citation: END BibTex RIS
Patients were decannulated based on clinical observations made by registered nurses and assessments by SLPs. Two patients died during the ICU admission, not related to swallowing abnormalities.
Patient characteristicsa.
a Variables with a normal distribution are described as mean (SD) and variables with a nonnormal distribution are described as median (IQR).
JMIR Serious Games 2025;13:e60685
Download Citation: END BibTex RIS
A promising direction is the use of electronic health records (EHRs) to analyze patient data to better inform clinical decision-making and assess adherence to IHD treatment guidelines using a gender lens. However, the wealth of existing data in clinical records is generally inaccessible in LMICs as it exists in the form of free-text clinical narratives, as patient discharge summaries and hospital admission notes, and these are often handwritten [10,11].
JMIR Form Res 2024;8:e42774
Download Citation: END BibTex RIS
Performance of ChatGPT in Ophthalmic Registration and Clinical Diagnosis: Cross-Sectional Study
Further validation studies, particularly in testing Chat GPT’s diagnostic effectiveness for a comprehensive range of eye diseases within the context of clinical practice in China, are essential.
Drawing on typical clinical cases from Chinese Standardized Resident Training (SRT) materials, this study aims to evaluate Chat GPT’s capacity for classifying ophthalmic subspecialties and its diagnostic potential within the Chinese context.
J Med Internet Res 2024;26:e60226
Download Citation: END BibTex RIS
Participants were also asked about their demographic, clinical, and behavioral history. Questions assessing interest in reducing alcohol consumption, interest in pharmacotherapy, and interest in herbal supplements had 4 response options: not interested, somewhat interested, moderately interested, and extremely interested.
JMIR Form Res 2024;8:e60370
Download Citation: END BibTex RIS
Reference 4: Merit of an ursodeoxycholic acid clinical trial in COVID-19 patients Reference 7: Ursodeoxycholic acid does not affect the clinical outcome of SARS-CoV-2 infection: a retrospectiveclinicalAssociation Between Ursodeoxycholic Acid and Clinical Outcomes in Patients With COVID-19 Infection: Population-Based
JMIR Public Health Surveill 2024;10:e59274
Download Citation: END BibTex RIS
The advent of artificial intelligence (AI) is expected to transform the practice and delivery of health care practices, including applications in clinical diagnosis, treatment, and management [1,2]. Adoption of these promising but often untested tools requires systematic evaluation through clinical trials, widely regarded as one of the highest forms of evidence to inform clinical practice [3,4].
J Med Internet Res 2024;26:e58578
Download Citation: END BibTex RIS
Specifically, anomalies within personal baselines of active data and Cortex-derived features of data for individuals with schizophrenia have been used to predict clinical relapse, an example of advanced data processing [48]. Using the methods outlined above in this paper, any digital phenotyping data can be processed in features and Data Frames that will enable easy use of the code [49] for anomaly detection.
J Med Internet Res 2024;26:e58502
Download Citation: END BibTex RIS