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AI-powered tools in family medicine: Bridging technology and practice
Sultan Alnashmi Alqasim1, Fahad M Bindakhil1, Mommed M Alzahrani2
1Department of Medicine, College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Journal of Family Medicine and Primary Care
|July 15, 2026
Summary
Saudi family physicians are ready to adopt artificial intelligence (AI) in clinical practice, showing high interest in AI training. Key barriers to AI adoption include data quality and integration challenges, influencing physician readiness.
Area of Science:
- Medical Informatics
- Digital Health
- Family Medicine
Background:
- Artificial intelligence (AI) is increasingly integrated into healthcare, necessitating an understanding of physician adoption.
- Family medicine is a critical area for AI implementation due to its broad patient contact.
Purpose of the Study:
- To evaluate Saudi family physicians' perceptions, attitudes, and readiness for AI adoption in clinical practice.
- To identify factors influencing AI use among these physicians.
Main Methods:
- A cross-sectional, web-based survey was conducted with 345 family physicians in Saudi Arabia.
- The survey assessed AI usage, perceived benefits/risks, adoption factors, and preferred collaboration models.
- Data were analyzed using descriptive statistics and multivariable logistic regression.
Main Results:
- 45.8% of physicians reported past-year AI use, with ChatGPT being most common.
- Physicians aged 25-34, with ≤5 years experience, and in tertiary hospitals showed higher AI use.
- Key drivers were reliability and efficiency; barriers included data quality and integration issues.
Conclusions:
- Saudi family physicians exhibit significant AI engagement and training interest but have concerns about reliability and integration.
- AI adoption is influenced by physician demographics and practice setting.
- Targeted education and strategic integration are crucial for enhancing AI uptake in family medicine.
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