AIMC Topic: Physicians, Primary Care
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The Use of an Artificial Intelligence Platform OpenEvidence to Augment Clinical Decision-Making for Primary Care Physicians.
Journal of primary care & community health
Apr 16, 2025
BACKGROUND: Artificial intelligence (AI) platforms can potentially enhance clinical decision-making (CDM) in primary care settings. OpenEvidence (OE), an AI tool, draws from trusted sources to generate evidence-based medicine (EBM) recommendations to...
Towards conversational diagnostic artificial intelligence.
Nature
Apr 9, 2025
At the heart of medicine lies physician-patient dialogue, where skillful history-taking enables effective diagnosis, management and enduring trust. Artificial intelligence (AI) systems capable of diagnostic dialogue could increase accessibility and q...
Integrated image-based deep learning and language models for primary diabetes care.
Nature medicine
Jul 19, 2024
Primary diabetes care and diabetic retinopathy (DR) screening persist as major public health challenges due to a shortage of trained primary care physicians (PCPs), particularly in low-resource settings. Here, to bridge the gaps, we developed an inte...
Can the Administrative Loads of Physicians be Alleviated by AI-Facilitated Clinical Documentation?
Journal of general internal medicine
Jun 27, 2024
BACKGROUND: Champions of AI-facilitated clinical documentation have suggested that the emergent technology may decrease the administrative loads of physicians, thereby reducing cognitive burden and forestalling burnout. Explorations of physicians' ex...
Primary care physicians' perceptions of artificial intelligence systems in the care of adolescents' mental health.
BMC primary care
Jun 13, 2024
BACKGROUND: Given that mental health problems in adolescence may have lifelong impacts, the role of primary care physicians (PCPs) in identifying and managing these issues is important. Artificial Intelligence (AI) may offer solutions to the current ...
Looking Beyond Mortality Prediction: Primary Care Physician Views of Patients' Palliative Care Needs Predicted by a Machine Learning Tool.
Applied clinical informatics
Apr 18, 2024
OBJECTIVES: To assess primary care physicians' (PCPs) perception of the need for serious illness conversations (SIC) or other palliative care interventions in patients flagged by a machine learning tool for high 1-year mortality risk.
Implementation of artificial intelligence algorithms for melanoma screening in a primary care setting.
PloS one
Sep 22, 2021
Skin cancer is currently the most common type of cancer among Caucasians. The increase in life expectancy, along with new diagnostic tools and treatments for skin cancer, has resulted in unprecedented changes in patient care and has generated a great...
Development and Assessment of an Artificial Intelligence-Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices.
JAMA network open
Apr 1, 2021
IMPORTANCE: Most dermatologic cases are initially evaluated by nondermatologists such as primary care physicians (PCPs) or nurse practitioners (NPs).
Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Anginal symptoms can connote increased cardiac risk and a need for change in cardiovascular management. In this study, a pre-trained transformer architecture was used to automatically detect and characterize anginal symptoms from within the history o...
Perceptions of virtual primary care physicians: A focus group study of medical and data science graduate students.
PloS one
Dec 17, 2020
BACKGROUND: Artificial and virtual technologies in healthcare have advanced rapidly, and healthcare systems have been adapting care accordingly. An intriguing new development is the virtual physician, which can diagnose and treat patients independent...
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