AIMC Topic: Medical Oncology

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Early experience with Watson for oncology in Korean patients with colorectal cancer.

PloS one Mar 25, 2019
BACKGROUND: Watson for oncology (WFO) is a cognitive computing system providing decision support. We evaluated the concordance rates between the treatment options determined by WFO and those determined by a multidisciplinary team (MDT).
Algorithms Computers Retrospective Studies Humans Software Practice Guidelines as Topic Patient Care Team Interdisciplinary Communication Neoplasm Staging Expert Systems Medical Oncology Colorectal Neoplasms Male Middle Aged User-Computer Interface Aged Decision Support Systems, Clinical Republic of Korea Aged, 80 and over Treatment Outcome Female Adult Reproducibility of Results
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How artificial intelligence could redefine clinical trials in cardiovascular medicine: lessons learned from oncology.

Personalized medicine Mar 6, 2019
Medical Oncology Clinical Trials as Topic Cardiology Humans Artificial Intelligence Machine Learning
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The Role of Artificial Intelligence in Interventional Oncology: A Primer.

Journal of vascular and interventional radiology : JVIR Dec 7, 2018
Patient Selection Diffusion of Innovation Medical Oncology Diagnosis, Computer-Assisted Liver Neoplasms Workflow Radiography, Interventional Humans Machine Learning Neural Networks, Computer Forecasting Clinical Decision-Making Artificial Intelligence
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Computer knows best? The need for value-flexibility in medical AI.

Journal of medical ethics Nov 22, 2018
Artificial intelligence (AI) is increasingly being developed for use in medicine, including for diagnosis and in treatment decision making. The use of AI in medical treatment raises many ethical issues that are yet to be explored in depth by bioethic...
Humans Paternalism Social Values Artificial Intelligence Decision Making, Computer-Assisted Diagnosis, Computer-Assisted Decision Making, Shared Medical Oncology
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Applying Artificial Intelligence to Address the Knowledge Gaps in Cancer Care.

The oncologist Nov 16, 2018
BACKGROUND: Rapid advances in science challenge the timely adoption of evidence-based care in community settings. To bridge the gap between what is possible and what is practiced, we researched approaches to developing an artificial intelligence (AI)...
Medical Oncology Clinical Trials as Topic Evidence-Based Medicine Decision Support Systems, Clinical Feasibility Studies Patient Selection Humans Artificial Intelligence Electronic Health Records Clinical Decision-Making Neoplasms
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Artificial intelligence and its potential in oncology.

Drug discovery today Oct 17, 2018
The two main branches associated with Artificial Intelligence (AI) in medicine are virtual and physical. The virtual component includes machine learning (ML) and algorithms, whereas physical AI includes medical devices and robots for delivering care....
Humans Artificial Intelligence Medical Oncology
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Using Artificial Intelligence (Watson for Oncology) for Treatment Recommendations Amongst Chinese Patients with Lung Cancer: Feasibility Study.

Journal of medical Internet research Sep 25, 2018
BACKGROUND: Artificial intelligence (AI) is developing quickly in the medical field and can benefit both medical staff and patients. The clinical decision support system Watson for Oncology (WFO) is an outstanding representative AI in the medical fie...
Feasibility Studies Medical Oncology Humans Male Artificial Intelligence China Retrospective Studies Lung Neoplasms Female
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Organization of the cancer network in SUS: evolution of the care model.

Clinics (Sao Paulo, Brazil) Sep 21, 2018
In the current context of epidemiological transition, demographic changes, changes in consumption and lifestyle habits, and pressure on care costs and organized health systems for acute conditions, the Integrated Care Model by Shortell has become a c...
Humans Neural Networks, Computer Medical Oncology Brazil National Health Programs Neoplasms Public Health
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Data Analysis Strategies in Medical Imaging.

Clinical cancer research : an official journal of the American Association for Cancer Research Mar 26, 2018
Radiographic imaging continues to be one of the most effective and clinically useful tools within oncology. Sophistication of artificial intelligence has allowed for detailed quantification of radiographic characteristics of tissues using predefined ...
Medical Oncology Algorithms Precision Medicine Humans Diagnostic Imaging Artificial Intelligence Machine Learning Data Analysis
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Network science in clinical trials: A patient-centered approach.

Seminars in cancer biology Dec 24, 2017
There has been a paradigm shift in translational oncology with the advent of novel molecular diagnostic tools in the clinic. However, several challenges are associated with the integration of these sophisticated tools into clinical oncology and daily...
Medical Oncology Biomarkers, Tumor Clinical Trials as Topic Animals Humans Neoplasms Precision Medicine
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