AIMC Topic: Family Practice
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AIFM-ed Curriculum Framework for Postgraduate Family Medicine Education on Artificial Intelligence: Mixed Methods Study.
JMIR medical education
Apr 25, 2025
BACKGROUND: As health care moves to a more digital environment, there is a growing need to train future family doctors on the clinical uses of artificial intelligence (AI). However, family medicine training in AI has often been inconsistent or lackin...
Development and validation of electronic health record-based, machine learning algorithms to predict quality of life among family practice patients.
Scientific reports
Dec 3, 2024
Health-related quality of life (HRQol) is a crucial dimension of care outcomes. Many HRQoL measures exist, but methodological and implementation challenges impede primary care (PC) use. We aim to develop and evaluate a novel machine learning (ML) alg...
Rammya Mathew: Could artificial intelligence be the key to transforming general practice?
BMJ (Clinical research ed.)
Mar 19, 2024
ChatGPT failed Taiwan's Family Medicine Board Exam.
Journal of the Chinese Medical Association : JCMA
Jun 9, 2023
BACKGROUND: Chat Generative Pre-trained Transformer (ChatGPT), OpenAI Limited Partnership, San Francisco, CA, USA is an artificial intelligence language model gaining popularity because of its large database and ability to interpret and respond to va...
Response to: Aye, AI! ChatGPT passes multiple-choice family medicine exam.
Medical teacher
Mar 20, 2023
Machine learning in general practice: scoping review of administrative task support and automation.
BMC primary care
Jan 14, 2023
BACKGROUND: Artificial intelligence (AI) is increasingly used to support general practice in the early detection of disease and treatment recommendations. However, AI systems aimed at alleviating time-consuming administrative tasks currently appear l...
Application of machine learning methodology to assess the performance of DIABETIMSS program for patients with type 2 diabetes in family medicine clinics in Mexico.
BMC medical informatics and decision making
Nov 12, 2019
BACKGROUND: The study aimed to assess the performance of a multidisciplinary-team diabetes care program called DIABETIMSS on glycemic control of type 2 diabetes (T2D) patients, by using available observational patient data and machine-learning-based ...
Artificial intelligence and diagnosis in general practice.
The British journal of general practice : the journal of the Royal College of General Practitioners
Aug 29, 2019
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