Translating AI to the Bedside with Physician Buy-In: Recommendations from a Meta-Analysis and Systematic Review of the Literature
Grace Hwang, Seyyed Sina Hejazian, Alireza Vafaei Sadr, Jennifer K. Wagner, Pingxu Hao, Ajith Vemuri, Yuki Kawamura, Khalid Nawab, Shadi Hijjawi, Ramin Zand, Vida Abedi · 2025
Read Translating AI to the Bedside with Physician Buy-In: Recommendations from a Meta-Analysis and Systematic Review of the Literature by Grace Hwang, Seyyed Sina Hejazian, Alireza Vafaei Sadr, Jennifer K. Wagner, Pingxu Hao, Ajith Vemuri, Yuki Kawamura, Khalid Nawab, Shadi Hijjawi, Ramin Zand, Vida Abedi (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12729787.txt.
Description
Grace Hwang and a large team review doctors' knowledge and attitudes toward medical AI and how to win their support, in a 2025 meta-analysis. Clinicians remain cautiously hopeful about AI, but adoption lags. The team gathered more than one hundred studies from a decade of literature.
Pooling the survey data, only about a fifth of doctors and trainees showed high AI knowledge, while more than a third scored low. Most had fair conceptual grasp but weak technical depth, and stronger knowledge tracked with warmer attitudes. Five barriers to bedside use were named. The recommendations include standard AI training, early clinician involvement in design, clearer rules, and patient-centered communication to build trust.
Catalog record
| CREATOR | Grace Hwang, Seyyed Sina Hejazian, Alireza Vafaei Sadr, Jennifer K. Wagner, Pingxu Hao, Ajith Vemuri, Yuki Kawamura, Khalid Nawab, Shadi Hijjawi, Ramin Zand, Vida Abedi |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 31 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |