Frontiers in Public Health · 11 authors, 5 centres
This summary was generated by AI from a single paper. It has not been reviewed by a clinician and is not clinical advice. Verify against the source before acting on it.
This scoping review mapped evidence on the use of artificial intelligence (AI) for delivering healthcare services. It found that AI methods, particularly deep learning and machine learning, are predominantly used in high-income countries for tasks like disease detection, diagnosis, management, and prognosis across various conditions.
This scoping review synthesized evidence from a random sample of 91 peer-reviewed publications to map the use of AI in delivering medical care services globally and regionally. The methods involved a literature search, screening, and narrative synthesis. Results show that AI techniques, mainly machine learning and deep learning, are applied for detection, diagnosis, classification, treatment, and prognosis in infectious diseases, non-communicable diseases, and mental health. The review notes that most studies are from high-income countries, with a significant lack of research from low- and middle-income regions like the WHO African Region, due to limited digital infrastructure and expertise. The review highlights the potential benefits for healthcare systems but acknowledges it did not evaluate AI's effectiveness, suggesting a need for further systematic review.
