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Radiologists with and without deep learning-based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/masses.
Wataya T, Yanagawa M, Tsubamoto M, Sato T, Nishigaki D, Kita K, Yamagata K, Suzuki Y, Hata A, Kido S, Tomiyama N; Osaka University Reading Team. Wataya T, et al. Eur Radiol. 2023 Jan;33(1):348-359. doi: 10.1007/s00330-022-08948-4. Epub 2022 Jun 25. Eur Radiol. 2023. PMID: 35751697
Bimodal artificial intelligence using TabNet for differentiating spinal cord tumors-Integration of patient background information and images.
Kita K, Fujimori T, Suzuki Y, Kanie Y, Takenaka S, Kaito T, Taki T, Ukon Y, Furuya M, Saiwai H, Nakajima N, Sugiura T, Ishiguro H, Kamatani T, Tsukazaki H, Sakai Y, Takami H, Tateiwa D, Hashimoto K, Wataya T, Nishigaki D, Sato J, Hoshiyama M, Tomiyama N, Okada S, Kido S. Kita K, et al. Among authors: wataya t. iScience. 2023 Sep 14;26(10):107900. doi: 10.1016/j.isci.2023.107900. eCollection 2023 Oct 20. iScience. 2023. PMID: 37766987 Free PMC article.
Automated entry of paper-based patient-reported outcomes: Applying deep learning to the Japanese orthopaedic association back pain evaluation questionnaire.
Kita K, Fujimori T, Suzuki Y, Kaito T, Takenaka S, Kanie Y, Furuya M, Wataya T, Nishigaki D, Sato J, Tomiyama N, Okada S, Kido S. Kita K, et al. Among authors: wataya t. Comput Biol Med. 2024 Apr;172:108197. doi: 10.1016/j.compbiomed.2024.108197. Epub 2024 Feb 19. Comput Biol Med. 2024. PMID: 38452472
51 results