Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 47,821 to 47,830 of 224,199 articles

Bias-Mitigated AI as a Foundation for Resilient and Effective Health Systems.

JMIR public health and surveillance
Artificial intelligence (AI) is rapidly reshaping the landscape of health care, from clinical diagnostics and disease surveillance to the prediction of individual health risks. Yet, its immense promise will only materialize if the tools we deploy wor... read more 

AI-Driven Patient Screening for Clinical Trials in Pancreatic Cancer: The PANCR-AI Pilot Retrospective Comparative Study.

JMIR cancer
BACKGROUND: Screening for clinical trials is challenging for clinicians due to its time-consuming and repetitive nature. The rise of artificial intelligence (AI) offers an opportunity to improve screening productivity and reproducibility. Pancreatic ... read more 

Cardiorespiratory Markers of Type 2 Diabetes: Machine Learning-Based Analysis.

JMIR diabetes
BACKGROUND: The global prevalence of type 2 diabetes mellitus (T2DM) poses significant challenges due to its association with increased cardiovascular risk and complications like cardiovascular autonomic neuropathy. Measures derived from heart rate v... read more 

Leveraging AI to Advance Age-Friendly Care in the Veterans Health Administration.

JMIR aging
The aging population presents a pressing challenge for health care systems, necessitating effective strategies to address the complex needs of older adults. The Veterans Health Administration in the Department of Veterans Affairs (VA), the largest in... read more 

AI and Wearables for Early Detection of Cognitive Impairment and Dementia: Systematic Review.

Journal of medical Internet research
BACKGROUND: Traditional cognitive screening relies on episodic clinical assessments and may miss early changes preceding cognitive impairment and dementia. Wearable and mobile health technologies enable continuous monitoring of sleep, physical activi... read more 

Explaining the Slow Adoption of AI Innovations in Health Care: Network Analysis Approach.

JMIR AI
BACKGROUND: Artificial intelligence (AI) is a topic of considerable hype, with many actors sensing its high potential for health care applications. Despite this, the adoption has been slow, with few applications being implemented in clinical practice... read more 

Real-time intraoperative confocal laser endomicroscopy with on-site neuropathologist consultation for glioma margin assessment: illustrative case.

Journal of neurosurgery. Case lessons
BACKGROUND: Achieving maximal safe resection in glioma surgery requires accurate real-time margin assessment, yet existing technologies have limitations. Fluorescence-guided surgery shows limitations at infiltrative margins, while frozen section anal... read more 

Predicting Geriatric Rehabilitation Stays of ≤4 Weeks After Hip Fracture Surgery: Machine Learning Approach Using Physical Activity and Patient Data.

JMIR rehabilitation and assistive technologies
BACKGROUND: In 2022, over 18,000 patients aged ≥70 years were hospitalized in the Netherlands for a hip fracture, with 50% requiring geriatric rehabilitation after surgery. Increasing geriatric rehabilitation patient numbers, staff shortages, and ris... read more 

Improving the Understandability of Clinical Guidelines: Development and Evaluation of a GPT-4-Based Pipeline.

Journal of medical Internet research
BACKGROUND: Difficulty in finding and understanding information in clinical guidelines contributes to medication errors. Large language models (LLMs) can simplify complex text to aid in understanding, but this approach to improving the quality of gui... read more 

Views of Pediatric Nurses on the Use of Artificial Intelligence-Supported Social Robots in Pediatric Clinics: A Qualitative Study.

Computers, informatics, nursing : CIN
This study was conducted to determine pediatric nurses' views on the use of artificial intelligence-supported social robots in pediatric clinics. An exploratory-descriptive design was adopted in the study. This study was conducted with 15 nurses work... read more