Predicting peritoneal recurrence by artificial intelligence
- PMID: 35461686
- DOI: 10.1016/S2589-7500(22)00065-6
Predicting peritoneal recurrence by artificial intelligence
Conflict of interest statement
MT reports lecture fees from Taiho Pharmaceutical, Chugai Pharmaceutical, Ono Pharmaceutical, Bristol-Myers Squibb, Yakult Honsha, Takeda Pharmaceutical, Eli Lilly Japan KK, Pfizer Pharmaceutical, Daiichi Sankyo, Johnson and Johnson, Medtronic Japan, Intuitive Japan, Olympus, and Astra Zeneca outside the submitted work. TI declares no competing interests.
Comment on
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Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study.Lancet Digit Health. 2022 May;4(5):e340-e350. doi: 10.1016/S2589-7500(22)00040-1. Lancet Digit Health. 2022. PMID: 35461691
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