70
#1
publications on general healthcare, of 204 on patient perceptions of AI; internal medicine 24, radiology 16
What the chart shows
Most research on how patients see AI in healthcare is not tied to one specialty: 70 of the 204 publications from 2020 to 2025 cover general healthcare. Internal medicine is the most studied specialty, with 24, followed by radiology (16), oncology (12) and obstetrics and gynaecology (12).
Psychiatry has 10. The chart shows the 17 specialties with three or more publications; 13 others have one or two, and nine of them, including anaesthesia, nephrology and neurosurgery, have one each.
Key numbers
| Measure | Value |
|---|---|
| General healthcare | 70 |
| Internal medicine | 24 |
| Radiology | 16 |
| Oncology | 12 |
| Obstetrics and gynaecology | 12 |
| Psychiatry | 10 |
How to read it
- A publication can be tagged with several specialties, so the counts add up to 220, more than the 204 publications.
- Download the CSV for all 30 specialties. Specialty names use British spelling; rehabilitation medicine is ‘PM&R’ in the data.
Source: RAISE Health, 2026, via the AI Index Report 2026 (Stanford HAI), figure 6.3.4: Medical specialties represented in publications exploring patient perceptions of AI in healthcare, 2020–25. Chart and text by AI Adoption.
Numbers checked against the published data on 20 October 2026.
Download the data (CSV) · Cite this chart
Numbers checked against the published data on 20 October 2026.
Download the data (CSV) · Cite this chart
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