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Deep learning algorithms for predicting pathological complete response in MRI of rectal cancer patients undergoing neoadjuvant chemoradiotherapy: a systematic review.

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Title: Deep learning algorithms for predicting pathological complete response in MRI of rectal cancer patients undergoing neoadjuvant chemoradiotherapy: a systematic review.
Authors: Jong BK; Colorectal Section, Department of Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan.; School of Medicine, Chang Gung University, Taoyuan, Taiwan., Yu ZH; Colorectal Section, Department of Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan.; School of Medicine, Chang Gung University, Taoyuan, Taiwan., Hsu YJ; Colorectal Section, Department of Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan.; School of Medicine, Chang Gung University, Taoyuan, Taiwan., Chiang SF; Colorectal Section, Department of Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan.; School of Medicine, Chang Gung University, Taoyuan, Taiwan., You JF; Colorectal Section, Department of Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan.; School of Medicine, Chang Gung University, Taoyuan, Taiwan., Chern YJ; Colorectal Section, Department of Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan. ufo789.ufo789@gmail.com.; School of Medicine, Chang Gung University, Taoyuan, Taiwan. ufo789.ufo789@gmail.com.
Source: International journal of colorectal disease [Int J Colorectal Dis] 2025 Jan 20; Vol. 40 (1), pp. 19. Date of Electronic Publication: 2025 Jan 20.
Publication Type: Journal Article; Systematic Review
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 8607899 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-1262 (Electronic) Linking ISSN: 01791958 NLM ISO Abbreviation: Int J Colorectal Dis Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1432-1262
DOI:10.1007/s00384-025-04809-w