AIMC Topic: Medical Oncology
Clear Filters Showing 151 to 160 of 287 articles
Radiomics in neuro-oncology: Basics, workflow, and applications.
Methods (San Diego, Calif.)
Jun 6, 2020
Over the last years, the amount, variety, and complexity of neuroimaging data acquired in patients with brain tumors for routine clinical purposes and the resulting number of imaging parameters have substantially increased. Consequently, a timely and...
The world is only ten years old: The dawn of artificial intelligence in urologic oncology.
Urologic oncology
May 14, 2020
Early experience with Watson for Oncology: a clinical decision-support system for prostate cancer treatment recommendations.
World journal of urology
Apr 25, 2020
PURPOSE: Urological oncologists have difficulty providing optimal personalized care due to rapid alterations in scientific research results, medical advancements, and treatment guidelines. IBM's Watson for Oncology (WFO) is an artificial intelligence...
Comparison of statistical and machine learning models for healthcare cost data: a simulation study motivated by Oncology Care Model (OCM) data.
BMC health services research
Apr 25, 2020
BACKGROUND: The Oncology Care Model (OCM) was developed as a payment model to encourage participating practices to provide better-quality care for cancer patients at a lower cost. The risk-adjustment model used in OCM is a Gamma generalized linear mo...
Innovations in research and clinical care using patient-generated health data.
CA: a cancer journal for clinicians
Apr 20, 2020
Patient-generated health data (PGHD), or health-related data gathered from patients to help address a health concern, are used increasingly in oncology to make regulatory decisions and evaluate quality of care. PGHD include self-reported health and t...
Oncology Research: Clinical Trial Management Systems, Electronic Medical Record, and Artificial Intelligence.
Seminars in oncology nursing
Apr 4, 2020
OBJECTIVE: To discuss the implications of electronic systems and regulations regarding the use of electronic systems implemented during the conduct of a clinical trial and identify the impact of such platforms on oncology nurses' responsible for prov...
Machine Learning in oncology: A clinical appraisal.
Cancer letters
Apr 3, 2020
Machine learning (ML) is a branch of artificial intelligence centered on algorithms which do not need explicit prior programming to function but automatically learn from available data, creating decision models to complete tasks. ML-based tools have ...
Artificial intelligence in oncology.
Cancer science
Mar 21, 2020
Artificial intelligence (AI) has contributed substantially to the resolution of a variety of biomedical problems, including cancer, over the past decade. Deep learning, a subfield of AI that is highly flexible and supports automatic feature extractio...
Artificial Intelligence - Changing the Field of Prostate Cancer?
Irish medical journal
Mar 13, 2020
Achievability to Extract Specific Date Information for Cancer Research.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Mar 4, 2020
Accurate identification of temporal information such as date is crucial for advancing cancer research which often requires precise date information associated with related cancer events. However, there is a gap for existing natural language processin...
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