Automatic acromegaly detection using deep learning on hand images: a multicenter observational study
This study highlights the utility of dorsal hand and fist sign as diagnostic clues for acromegaly, which the AI model captured more accurately than endocrinologists. Using this privacy-conscious feature, this model can be deployed in public settings like health checkups. Further validation using larger datasets, including healthy individuals and diverse diseases, is necessary.
Authors
- Yurika Hada
- Yasutaka Tsujimoto
- Hironori Bando (ORCID: https://orcid.org/0000-0002-7421-2714)
- Shingo Fujio
- Ikuhiro Ishida
- Seiji Tomofuji (ORCID: https://orcid.org/0009-0002-8018-3718)
- Yuka Ohmachi (ORCID: https://orcid.org/0000-0002-4470-5980)
- Shozo Yamada (ORCID: https://orcid.org/0000-0003-2986-0816)
- Yuki Otsuka (ORCID: https://orcid.org/0000-0001-6015-6128)
- Hiroshi Nishioka (ORCID: https://orcid.org/0000-0003-3075-2900)
- Fumio Otsuka (ORCID: https://orcid.org/0000-0001-7014-9095)
- Yuriko Sasaki
- Masamichi Kurosaki (ORCID: https://orcid.org/0009-0000-3695-0479)
- Masaki Kobatake
- Hiraku Kameda (ORCID: https://orcid.org/0000-0003-1870-6688)
- Noriaki Fukuhara (ORCID: https://orcid.org/0000-0002-6540-9515)
- Yasuyuki Kinoshita (ORCID: https://orcid.org/0000-0001-5664-4946)
- Kazuhito Takeuchi (ORCID: https://orcid.org/0000-0003-2820-5369)
- Yuma Motomura
- Manabu Shirakawa (ORCID: https://orcid.org/0000-0001-5833-2217)
- Yuka Oi-Yo
- Kunihisa Kobayashi (ORCID: https://orcid.org/0000-0002-7741-846X)
- Tomoko Iida (ORCID: https://orcid.org/0000-0002-6334-6047)
- Michiko Takahashi
- Takafumi OGURA
- Shinji Susa (ORCID: https://orcid.org/0000-0003-2684-903X)
- Akira Taguchi
- Genki Fujii
- Shigeyuki Tahara
- Naoki Yamamoto
- Hidenori Fukuoka
- Genzo Iguchi
- Yuichi Nagata
- Ichiro Abe
- Masaaki Yamamoto
- Masaki Suzuki
- Kenichi Oyama
- Wataru Ogawa
- Shin Urai
- Mizuho Nishio
Institutions
- Kagoshima University (JP)
- Yamagata University (JP)
- Hiroshima University (JP)
- Hyogo Medical University (JP)
- Okayama University (JP)
- Konan Women's University (JP)
- Hokkaido University (JP)
- Academy of Nutrition and Dietetics (US)
- Fukuoka University (JP)
- Kobe University Hospital (JP)
- Nippon Medical School Musashi Kosugi Hospital (JP)
- Fukuoka University Tsukushi Hospital (JP)
- Edogawa Hospital (JP)
- Mita Hospital (JP)
- Toranomon Hospital (JP)
- Tottori University (JP)
- Nagoya University (JP)
- Kobe University (JP)
- Nippon Medical School (JP)
- Hyogo University (JP)
Publication Details
- Journal
- The Journal of Clinical Endocrinology & Metabolism
- Published
- 2026-01-22
- DOI
- https://doi.org/10.1210/clinem/dgag027
- Primary Topic
- Biometric Identification and Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00