AIMC Topic: Medical Oncology
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Artificial Intelligence in Oncology: Current Capabilities, Future Opportunities, and Ethical Considerations.
American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
Apr 1, 2022
The promise of highly personalized oncology care using artificial intelligence (AI) technologies has been forecasted since the emergence of the field. Cumulative advances across the science are bringing this promise to realization, including refineme...
Artificial Intellgence in the Era of Precision Oncological Imaging.
Technology in cancer research & treatment
Jan 1, 2022
Rapid-paced development and adaptability of artificial intelligence algorithms have secured their almost ubiquitous presence in the field of oncological imaging. Artificial intelligence models have been created for a variety of tasks, including risk ...
Can artificial intelligence improve cancer treatments?
Health informatics journal
Jan 1, 2022
Artificial intelligence (AI) powered by the accumulating clinical and molecular data about cancer has fueled the expectation that a transformation in cancer treatments towards significant improvement of patient outcomes is at hand. However, such tran...
Artificial Intelligence for Precision Oncology.
Advances in experimental medicine and biology
Jan 1, 2022
Precision oncology is an innovative approach to cancer care in which diagnosis, prognosis, and treatment are informed by the individual patient's genetic and molecular profile. The rapid development of novel high-throughput omics technologies in rece...
Molecular-based precision oncology clinical decision making augmented by artificial intelligence.
Emerging topics in life sciences
Dec 21, 2021
The rapid growth and decreasing cost of Next-generation sequencing (NGS) technologies have made it possible to conduct routine large panel genomic sequencing in many disease settings, especially in the oncology domain. Furthermore, it is now known th...
Applications of Artificial Intelligence in Pediatric Oncology: A Systematic Review.
JCO clinical cancer informatics
Dec 1, 2021
PURPOSE: There is a need for an improved understanding of clinical and biologic risk factors in pediatric cancer to improve patient outcomes. Machine learning (ML) represents the application of computational inference from advanced statistical method...
RoBoT: a robust Bayesian hypothesis testing method for basket trials.
Biostatistics (Oxford, England)
Oct 13, 2021
A basket trial in oncology encompasses multiple "baskets" that simultaneously assess one treatment in multiple cancer types or subtypes. It is well-recognized that hierarchical modeling methods, which adaptively borrow strength across baskets, can im...
Radiomics in Oncology: A Practical Guide.
Radiographics : a review publication of the Radiological Society of North America, Inc
Oct 1, 2021
Radiomics refers to the extraction of mineable data from medical imaging and has been applied within oncology to improve diagnosis, prognostication, and clinical decision support, with the goal of delivering precision medicine. The authors provide a ...
Natural Language Processing for Patient Selection in Phase I or II Oncology Clinical Trials.
JCO clinical cancer informatics
Jun 1, 2021
PURPOSE: Early discontinuation affects more than one third of patients enrolled in early-phase oncology clinical trials. Early discontinuation is deleterious both for the patient and for the study, by inflating its duration and associated costs. We a...
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