e.g. mhealth
Search Results (1 to 10 of 58 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 23 Journal of Medical Internet Research
- 12 JMIR Research Protocols
- 9 JMIR Medical Informatics
- 4 Interactive Journal of Medical Research
- 3 JMIR Formative Research
- 3 JMIR Human Factors
- 1 JMIR AI
- 1 JMIR Cardio
- 1 JMIR Medical Education
- 1 JMIR Nursing
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Public Health and Surveillance
- 0 JMIR mHealth and uHealth
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Pediatrics and Parenting
- 0 JMIR Aging
- 0 JMIR Perioperative Medicine
- 0 JMIRx Med
- 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)
Acute kidney injury (AKI) is a common and severe complication in critically ill patients, with sepsis being the most frequent cause [1]. AKI occurring within 7 days after the onset of sepsis is defined as sepsis-associated AKI (SA-AKI) [2]. Studies have estimated that 68% of patients with sepsis present with AKI on admission, 40% present with severe AKI, and 27% require subsequent kidney replacement therapy (KRT) during their intensive care unit (ICU) stay [3].
J Med Internet Res 2025;27:e62932
Download Citation: END BibTex RIS
Consequently, patients with ICH exhibit a higher incidence of sepsis than other ICU populations, with approximately 28% of patients with ICH developing secondary sepsis [6]. Moreover, sepsis is associated with significantly worse prognoses, leading to a 2-fold increase in mortality rates during hospitalization (36.7% vs 18.8%) and at 3 months after admission (56.5% vs 28.5%) [4,7].
J Med Internet Res 2025;27:e71413
Download Citation: END BibTex RIS
In this research, we aim to establish a multicenter sepsis database (MSD), providing a richer and more diverse dataset that is crucial for the in-depth analysis and understanding of sepsis. Using GPT4.0 for entity recognition and relation extraction, we aim to construct a comprehensive sepsis knowledge graph, using real-world databases supplemented by clinical guidelines and relevant public databases.
J Med Internet Res 2025;27:e65537
Download Citation: END BibTex RIS
GPT-3.5 Turbo and GPT-4 Turbo in Title and Abstract Screening for Systematic Reviews
We conducted a post hoc analysis of our previous study to evaluate the performance of GPT-3.5 Turbo and GPT-4 Turbo in LLM-assisted title and abstract screening, using data from 5 clinical questions (CQs) developed for the Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2024 [6,10].
JMIR Med Inform 2025;13:e64682
Download Citation: END BibTex RIS
Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection [1-3]. While mortality from sepsis has decreased over time after age standardization, it remains high [2-6]. According to the Global Burden of Disease Study, 48.9 million cases of sepsis were reported worldwide in 2017, accounting for 11 million deaths [7].
Interact J Med Res 2025;14:e63291
Download Citation: END BibTex RIS
Sepsis infections caused by pathogens with antimicrobial resistance (AMR) represent a significant global challenge in health care [1,2]. In 2017, there were 48.9 million new cases of sepsis and 11 million deaths related to sepsis, accounting for 19.7% of all global deaths [3]. In Germany, sepsis incidence increased by an average of 5.7% per year, from 280 cases in 2010 to 370 cases in 2015 per 100,000 individuals [4].
JMIR Hum Factors 2025;12:e66699
Download Citation: END BibTex RIS
In addition, they are usually ordered when sepsis is clinically suspected, leading to a diagnostic delay [7] and making them unsuitable as a screening tool. The ideal biomarker for sepsis screening should have the following characteristics: (1) easy to measure, (2) high sensitivity and negative predictive value for sepsis, (3) low turn-around time, and (4) always available to clinicians, especially when sepsis is not (yet) suspected. Complete blood count (CBC) parameters fulfill all of these features [8].
J Med Internet Res 2025;27:e55492
Download Citation: END BibTex RIS
Treatment of the dysregulated immune response as a cause of sepsis has not been successful in large trials and subsequently has therefore not found its way into clinical practice or sepsis guidelines.
AI-based CDSS could be particularly useful in sepsis care due to the high heterogeneity and complexity of the disease [10]. Non–knowledge-based respectively data-based CDSS are subject to a trade-off between model complexity and interpretability.
JMIR Res Protoc 2025;14:e62704
Download Citation: END BibTex RIS
This confirms the critical role of specific blood parameters in sepsis detection and enhances our model’s interpretability and clinical relevance.
Correlation heat map of complete blood count with differential (CBC+DIFF) parameters and sepsis.
J Med Internet Res 2025;27:e56155
Download Citation: END BibTex RIS
Following the work of our previous study [7,11], we aimed to generalize our findings by applying the investigation to the delirium, sepsis, and AKI use cases at 1 community hospital and 1 specialized hospital.
J Med Internet Res 2024;26:e51409
Download Citation: END BibTex RIS