AI Medical Compendium Journal:
Journal of the American Medical Informatics Association : JAMIA

Showing 101 to 110 of 493 articles

A machine learning framework to adjust for learning effects in medical device safety evaluation.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2025
OBJECTIVES: Traditional methods for medical device post-market surveillance often fail to accurately account for operator learning effects, leading to biased assessments of device safety. These methods struggle with non-linearity, complex learning cu...
Product Surveillance, Postmarketing Equipment Safety Humans Machine Learning United States Decision Trees Equipment and Supplies
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Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2025
OBJECTIVES: Social support (SS) and social isolation (SI) are social determinants of health (SDOH) associated with psychiatric outcomes. In electronic health records (EHRs), individual-level SS/SI is typically documented in narrative clinical notes r...
Electronic Health Records Social Support Natural Language Processing Social Isolation Data Mining Humans Algorithms Mental Disorders
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Just another tool in their repertoire: uncovering insights into public and patient perspectives on clinicians' use of machine learning in perioperative care.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2025
OBJECTIVES: Successful implementation of machine learning-augmented clinical decision support systems (ML-CDSS) in perioperative care requires the prioritization of patient-centric approaches to ensure alignment with societal expectations. We assesse...
Female Aged Young Adult Humans Machine Learning Surveys and Questionnaires Decision Support Systems, Clinical Public Opinion Adult Male Middle Aged Focus Groups Attitude to Health Perioperative Care
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Secure messaging telehealth billing in the digital age: moving beyond time-based metrics.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2025
OBJECTIVE: We proposed adopting billing models for secure messaging (SM) telehealth services that move beyond time-based metrics, focusing on the complexity and clinical expertise involved in patient care.
Electronic Health Records Humans Computer Security Machine Learning Telemedicine
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Reducing diagnostic delays in acute hepatic porphyria using health records data and machine learning.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2025
BACKGROUND: Acute hepatic porphyria (AHP) is a group of rare but treatable conditions associated with diagnostic delays of 15 years on average. The advent of electronic health records (EHR) data and machine learning (ML) may improve the timely recogn...
Humans Machine Learning Young Adult Adult Delayed Diagnosis Electronic Health Records Male Middle Aged Porphobilinogen Synthase Adolescent Referral and Consultation Female Porphyrias, Hepatic
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Fair prediction of 2-year stroke risk in patients with atrial fibrillation.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2024
OBJECTIVE: This study aims to develop machine learning models that provide both accurate and equitable predictions of 2-year stroke risk for patients with atrial fibrillation across diverse racial groups.
Female Risk Factors Aged Male Middle Aged Humans Machine Learning Electronic Health Records Racial Groups Stroke Risk Assessment Atrial Fibrillation ROC Curve Black or African American
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AHRQ's digital healthcare research program: 20 years of advancing innovation and discovery.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2024
OBJECTIVES: To reflect on the achievements of the Agency for Healthcare Research and Quality's (AHRQ) Digital Healthcare Research Program over the past 20 years, evaluate its impact on US healthcare quality and safety, and outline current and future ...
Health Services Research Decision Support Systems, Clinical Humans United States Agency for Healthcare Research and Quality United States Artificial Intelligence Telemedicine
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MS Pattern Explorer: interactive visual exploration of temporal activity patterns for multiple sclerosis.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2024
OBJECTIVES: This article describes the design and evaluation of MS Pattern Explorer, a novel visual tool that uses interactive machine learning to analyze fitness wearables' data. Applied to a clinical study of multiple sclerosis (MS) patients, the t...
Fitness Trackers Humans Machine Learning Multiple Sclerosis User-Computer Interface Sleep
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Toward a responsible future: recommendations for AI-enabled clinical decision support.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2024
BACKGROUND: Integrating artificial intelligence (AI) in healthcare settings has the potential to benefit clinical decision-making. Addressing challenges such as ensuring trustworthiness, mitigating bias, and maintaining safety is paramount. The lack ...
Humans Artificial Intelligence Decision Support Systems, Clinical
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Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2024
OBJECTIVES: Recently, deep learning medical image analysis in orthopedics has become highly active. However, progress has been restricted by the absence of large-scale and standardized ground-truth images. To the best of our knowledge, this study is ...
Image Processing, Computer-Assisted Radiography Radiographic Image Interpretation, Computer-Assisted Humans Knee Joint Deep Learning Osteoarthritis, Knee
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