Comparative educational effectiveness of AI generated images and traditional lectures for diagnosing chalazion and sebaceous carcinoma
Hitoshi Tabuchi, Isana Nakajima, Mhairi Day, Tsuyoshi Yoneda, Mao Tanabe, Niall Strang, Justin Engelmann, Hodaka Deguchi, Masahiro Akada, Takaaki Moriguchi, Yuta Nakaniida, Hideki Tsuji · 2024
Read Comparative educational effectiveness of AI generated images and traditional lectures for diagnosing chalazion and sebaceous carcinoma by Hitoshi Tabuchi, Isana Nakajima, Mhairi Day, Tsuyoshi Yoneda, Mao Tanabe, Niall Strang, Justin Engelmann, Hodaka Deguchi, Masahiro Akada, Takaaki Moriguchi, Yuta Nakaniida, Hideki Tsuji (2024) 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-11589600.txt.
Description
Hitoshi Tabuchi and co-authors compare AI-made images with video lectures for teaching eyelid diagnosis in a 2024 study. Sebaceous carcinoma is rare and easily confused with a common chalazion lump. Fifty-five eye care students split into two training groups. A fifty image quiz before and after measures diagnostic skill.
Both groups improve strongly overall, with no clear gap between them, they report. The AI image group improves on every chalazion image but few cancer images. The lecture group improves on most images of both kinds. The authors suggest blending both methods, since AI training quality depends on the patient images behind it. Rare disease teaching may gain most.
Catalog record
| CREATOR | Hitoshi Tabuchi, Isana Nakajima, Mhairi Day, Tsuyoshi Yoneda, Mao Tanabe, Niall Strang, Justin Engelmann, Hodaka Deguchi, Masahiro Akada, Takaaki Moriguchi, Yuta Nakaniida, Hideki Tsuji |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 32 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |