Artificial Intelligence and Family Medicine.

Area of Science:

• Explores the integration of Artificial Intelligence (AI) into family medicine.
• Covers advancements in clinical reviews and research across various medical domains.

Background:

• Highlights the significant impact of AI on the future of family medicine.
• Discusses AI's performance on the American Board of Family Medicine In-Training Examination.
• Examines the intersection of social determinants of health and medical practice.

Discussion:

• Reviews clinical topics including nonalcoholic fatty liver disease, headache management, asthma therapy, and chronic pain treatment with cannabis.
• Presents clinical research on point-of-care hemoglobin A1c testing, continuous glucose monitoring, and HIV screening.
• Addresses the evolving landscape of the family medicine profession, including career negotiations for women physicians and primary care definitions.

Key Insights:

• AI offers transformative potential for family medicine.
• Clinical reviews and research provide updates on key health issues and diagnostic tools.
• The profession of family medicine is undergoing examination regarding its scope and workforce dynamics.

Outlook:

• AI integration will likely reshape family medicine training and practice.
• Continued research is essential for understanding the clinical utility of new technologies and treatments.
• Addressing social needs and evolving professional definitions will be crucial for primary care's future.