- Home
- Publications
- Publication Search
- Publication Details
Title
A meta-analysis of Watson for Oncology in clinical application
Authors
Keywords
-
Journal
Scientific Reports
Volume 11, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-03-11
DOI
10.1038/s41598-021-84973-5
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- “A Tool, Not a Crutch”: Patient Perspectives About IBM Watson for Oncology Trained by Memorial Sloan Kettering
- (2019) Jada G. Hamilton et al. Journal of Oncology Practice
- Concordance Rate between Clinicians and Watson for Oncology among Patients with Advanced Gastric Cancer: Early, Real-World Experience in Korea
- (2019) Youn I Choi et al. Canadian Journal of Gastroenterology and Hepatology
- A mathematical-descriptor of tumor-mesoscopic-structure from computed-tomography images annotates prognostic- and molecular-phenotypes of epithelial ovarian cancer
- (2019) Haonan Lu et al. Nature Communications
- Early experience with Watson for oncology in Korean patients with colorectal cancer
- (2019) Eui Joo Kim et al. PLoS One
- Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers
- (2019) Eiryo Kawakami et al. CLINICAL CANCER RESEARCH
- Watson for Oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board
- (2018) S P Somashekhar et al. ANNALS OF ONCOLOGY
- A DNA nanorobot functions as a cancer therapeutic in response to a molecular trigger in vivo
- (2018) Suping Li et al. NATURE BIOTECHNOLOGY
- The establishment of a new medical model for tumor treatment combined with Watson for Oncology, MDT and patient involvement.
- (2018) Juemin Fang et al. JOURNAL OF CLINICAL ONCOLOGY
- Using Artificial Intelligence (Watson for Oncology) for Treatment Recommendations Amongst Chinese Patients with Lung Cancer: Feasibility Study
- (2018) Chaoyuan Liu et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Concordance Study Between IBM Watson for Oncology and Clinical Practice for Patients with Cancer in China
- (2018) Na Zhou et al. ONCOLOGIST
- A machine learning approach for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted MRI parameters
- (2018) Mahrooz Malek et al. EUROPEAN JOURNAL OF RADIOLOGY
- Artificial Intelligence in Precision Cardiovascular Medicine
- (2017) Chayakrit Krittanawong et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Artificial intelligence in research
- (2017) Mrinal Musib et al. SCIENCE
- Changing of China׳s health policy and Doctor–Patient relationship: 1949–2016
- (2017) Min Zhou et al. Health Policy and Technology
- Influence of patient, physician, and hospital characteristics on the receipt of guideline-concordant care for inflammatory breast cancer
- (2016) Ryan A Denu et al. Cancer Epidemiology
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
- (2016) Varun Gulshan et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- The State of Cancer Care in America, 2016: A Report by the American Society of Clinical Oncology
- (2016) Journal of Oncology Practice
- Management of EGFR mutated nonsmall cell lung carcinoma patients
- (2015) Bogdan Grigoriu et al. EUROPEAN RESPIRATORY JOURNAL
- A Multicenter, Open-Label, Randomized Phase II Controlled Study of rh-Endostatin (Endostar) in Combination with Chemotherapy in Previously Untreated Extensive-Stage Small-Cell Lung Cancer
- (2015) Shun Lu et al. Journal of Thoracic Oncology
- Utilization of Clinical Practice Guidelines
- (2015) Melanie R. Keiffer NURSING CLINICS OF NORTH AMERICA
- Endostar combined with chemotherapy compared with chemotherapy alone in the treatment of nonsmall lung carcinoma: A meta-analysis based on Chinese patients
- (2015) QY Chen et al. INDIAN JOURNAL OF CANCER
- Predicting protein phosphorylation from gene expression: top methods from the IMPROVER Species Translation Challenge
- (2014) Adel Dayarian et al. BIOINFORMATICS
- Administrative Work Consumes One-Sixth of U.S. Physicians' Working Hours and Lowers their Career Satisfaction
- (2014) Steffie Woolhandler et al. INTERNATIONAL JOURNAL OF HEALTH SERVICES
- Genotyping and Genomic Profiling of Non–Small-Cell Lung Cancer: Implications for Current and Future Therapies
- (2013) Tianhong Li et al. JOURNAL OF CLINICAL ONCOLOGY
- Icotinib versus gefitinib in previously treated advanced non-small-cell lung cancer (ICOGEN): a randomised, double-blind phase 3 non-inferiority trial
- (2013) Yuankai Shi et al. LANCET ONCOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started