ArticleNature communications2020
Diagnostic evaluation of a deep learning model for optical diagnosis of colorectal cancer.
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Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.
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54citing papers in PubMed, 1 pooled it
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54 citing papers in PubMed, 1 synthesis or guideline pooled it, 120 citations in OpenAlex.
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- Flexible, stretchable, on-chip optical tweezers for high-throughput bioparticle manipulation.Light, science & applications · 2026Article
- Colorectal Lesion diagnosis using transformer and deep learning with multiscale feature interface.PloS one · 2026Article
- Multiview deep-learning-enabled histopathology for prognostic and therapeutic stratification in stage II colorectal cancer: A retrospective multicenter study.PLoS medicine · 2026Observational
- Exploring the Impact of an Artificial Intelligence-Based Intraoperative Image Navigation System in Laparoscopic Surgery on Clinical Outcomes: A Protocol for a Multicenter Randomized Controlled Trial.European surgical research. Europaische chirurgische Forschung. Recherches chirurgicales europeennes · 2026Article
- Precision Oncology: Current Landscape, Emerging Trends, Challenges, and Future Perspectives.Cells · 2025Review
- Artificial intelligence in cancer: applications, challenges, and future perspectives.Molecular cancer · 2025Review
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- Identification of colorectal malignancies enabled by phasor-based autofluorescence lifetime macroimaging and ensemble learning.Biophotonics discovery · 2025Article
- Directional white-light emission from sintered carbon dot titanium dioxide structures based on near-field confinement.Nature communications · 2025Article
- Diagnostic Yield of Combining CT Colonoscopy and Endoscopy to Investigate Colorectal Cancer.Journal of gastrointestinal cancer · 2025Article
- The relationship between epigenetic biomarkers and the risk of diabetes and cancer: a machine learning modeling approach.Frontiers in public health · 2025Article
- NMB promotes the progression of colorectal cancer by regulating the NF-κB/P65 signaling pathway.Frontiers in immunology · 2025Article
- From theory to practice: Harmonizing taxonomies of trustworthy AI.Health policy OPEN · 2024Article
- Improving the endoscopic recognition of early colorectal carcinoma using artificial intelligence: current evidence and future directions.Endoscopy international open · 2024Review
- Advancing precise diagnosis of nasopharyngeal carcinoma through endoscopy-based radiomics analysis.iScience · 2024Article
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Authors and funding
23 authors at 7 institutions in 2 countries.
Dejun Zhou *Department of Endoscopic Diagnosis and Therapy, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Fei Tian *Department of Colorectal Cancer, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Xiangdong Tian *Department of Endoscopic Diagnosis and Therapy, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Lin Sun *Department of Pathology, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Xianghui HuangGeneral Surgery Department, Ningbo First Hospital, Zhejiang University Ningbo Hospital, Ningbo, China.
Feng ZhaoAnorectal Department, Nanyang Hospital of Traditional Chinese Medicine, Nanyang, China.
Nan ZhouAnorectal Department, Nanyang Hospital of Traditional Chinese Medicine, Nanyang, China.
Zuoyu ChenGeneral Surgery Department, General Hospital of Tianjin Medical University, Tianjin Medical University, Tianjin, China.
Qiang ZhangDepartment of Maxillofacial and Otorhinolaryngology Oncology, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Meng YangTianjin Cancer Institute, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Yichen YangTianjin Cancer Institute, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Xuexi GuoDepartment of Pathology, Tianjin First Central Hospital, Tianjin, China.
Zhibin LiDepartment of Gastroenterology and Hepatobiliary Surgery, People's First Hospital of Shangqiu, Shangqiu, China.
Jia LiuDepartment of Colorectal Cancer, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Jiefu WangDepartment of Colorectal Cancer, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Junfeng WangDepartment of Colorectal Cancer, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Bangmao WangDepartment of Gastroenterology, General Hospital of Tianjin Medical University, Tianjin Medical University, Tianjin, China.
Guoliang ZhangDepartment of Digestion and Endoscopy, Tianjin First Central Hospital, Tianjin, China.
Baocun SunDepartment of Pathology, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Wei ZhangWake Forest Baptist Comprehensive Cancer Center, Wake Forest Baptist Medical Center, Winston-Salem, NC, USA.
Dalu KongDepartment of Colorectal Cancer, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
Kexin ChenDepartment of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University, Tianjin, China. chenkexin@tmu.edu.cn.ORCID http://orcid.org/0000-0003-4248-7681
Xiangchun LiTianjin Cancer Institute, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China. lixiangchun@tmu.edu.cn.ORCID http://orcid.org/0000-0002-2230-2152
Tianjin Medical University Cancer Institute and Hospital · CNAnyang Hospital of Traditional Chinese Medicine · CNTianjin First Center Hospital · CNTianjin Medical University General Hospital · CNAtrium Health Wake Forest Baptist · USNingbo First Hospital · CNShangqiu First People's Hospital · CN
Funding
Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4MNCI NIH HHS P30 CA012197
Abstract
Colonoscopy is commonly used to screen for colorectal cancer (CRC). We develop a deep learning model called CRCNet for optical diagnosis of CRC by training on 464,105 images from 12,179 patients and test its performance on 2263 patients from three independent datasets. At the patient-level, CRCNet achieves an area under the precision-recall curve (AUPRC) of 0.882 (95% CI: 0.828-0.931), 0.874 (0.820-0.926) and 0.867 (0.795-0.923). CRCNet exceeds average endoscopists performance on recall rate across two test sets (91.3% versus 83.8%; two-sided t-test, p < 0.001 and 96.5% versus 90.3%; p = 0.006) and precision for one test set (93.7% versus 83.8%; p = 0.02), while obtains comparable recall rate on one test set and precision on the other two. At the image-level, CRCNet achieves an AUPRC of 0.990 (0.987-0.993), 0.991 (0.987-0.995), and 0.997 (0.995-0.999). Our study warrants further investigation of CRCNet by prospective clinical trials.
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Deep LearningMachine LearningAgedColonoscopyColorectal NeoplasmsFemaleGastroenterologyHumansMaleMiddle AgedRetrospective Studies
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