AIMC Topic: Medical Oncology
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[French ccAFU guidelines – Update 2018–2020: Bladder cancer].
Progres en urologie : journal de l'Association francaise d'urologie et de la Societe francaise d'urologie
Sep 20, 2019
OBJECTIVE: To propose updated French guidelines for non-muscle invasive (NMIBC) and muscle-invasive (MIBC) bladder cancers.
Prediction of Drug Approval After Phase I Clinical Trials in Oncology: RESOLVED2.
JCO clinical cancer informatics
Sep 1, 2019
PURPOSE: Drug development in oncology currently is facing a conjunction of an increasing number of antineoplastic agents (ANAs) candidate for phase I clinical trials (P1CTs) and an important attrition rate for final approval. We aimed to develop a ma...
Enhancing Case Capture, Quality, and Completeness of Primary Melanoma Pathology Records via Natural Language Processing.
JCO clinical cancer informatics
Aug 1, 2019
PURPOSE: Medical records contain a wealth of useful, informative data points valuable for clinical research. Most data points are stored in semistructured or unstructured legacy documents and require manual data abstraction into a structured format t...
Artificial Intelligence Treatment Decision Support For Complex Breast Cancer Among Oncologists With Varying Expertise.
JCO clinical cancer informatics
Aug 1, 2019
PURPOSE: The aim of the current study was to assess treatment concordance and adherence to National Comprehensive Cancer Network breast cancer treatment guidelines between oncologists and an artificial intelligence advisory tool.
Female
Reproducibility of Results
Breast Neoplasms
Humans
Artificial Intelligence
Clinical Decision-Making
Medical Oncology
Practice Guidelines as Topic
Practice Patterns, Physicians'
Oncologists
Decision Support Systems, Clinical
Guideline Adherence
Neoplasm Staging
Biomarkers, Tumor
Cross-Sectional Studies
Clinical Competence
Are we at a crossroads or a plateau? Radiomics and machine learning in abdominal oncology imaging.
Abdominal radiology (New York)
Jun 1, 2019
Advances in radiomics and machine learning have driven a technology boom in the automated analysis of radiology images. For the past several years, expectations have been nearly boundless for these new technologies to revolutionize radiology image an...
Is Watson for Oncology Unreasonably Dangerous?: Making A Case for How to Prove Products Liability Based on a Flawed Artificial Intelligence Design.
American journal of law & medicine
May 1, 2019
Artificial intelligence (AI) machines hold the world's curiosity captive. Futuristic television shows like West World are set in desert lands against pink sunsets where sleek, autonomous AI fulfill every human need, desire, and kink. But I, Robot, a ...
Big data and machine learning algorithms for health-care delivery.
The Lancet. Oncology
May 1, 2019
Analysis of big data by machine learning offers considerable advantages for assimilation and evaluation of large amounts of complex health-care data. However, to effectively use machine learning tools in health care, several limitations must be addre...
Artificial intelligence, chatbots, and the future of medicine.
The Lancet. Oncology
Apr 1, 2019
Artificial Intelligence in Oncology: Current Applications and Future Directions.
Oncology (Williston Park, N.Y.)
Feb 15, 2019
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