AIMC Topic: Medical Oncology
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Overcoming the challenges to implementation of artificial intelligence in pathology.
Journal of the National Cancer Institute
Jun 8, 2023
Pathologists worldwide are facing remarkable challenges with increasing workloads and lack of time to provide consistently high-quality patient care. The application of artificial intelligence (AI) to digital whole-slide images has the potential of d...
The evolution of cancer genomic medicine in Japan and the role of the National Cancer Center Japan.
Cancer biology & medicine
May 3, 2023
The journey to implement cancer genomic medicine (CGM) in oncology practice began in the 1980s, which is considered the dawn of genetic and genomic cancer research. At the time, a variety of activating oncogenic alterations and their functional signi...
Artificial Intelligence in Clinical Oncology: From Data to Digital Pathology and Treatment.
American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
May 1, 2023
Recently, a wide spectrum of artificial intelligence (AI)-based applications in the broader categories of digital pathology, biomarker development, and treatment have been explored. In the domain of digital pathology, these have included novel analyt...
Updates in Cutaneous Oncology.
Missouri medicine
Jan 1, 2023
Cutaneous oncology is currently a rapidly evolving field. Dermoscopy, total body photography, biomarkers, and artificial intelligence are affecting the way skin cancers, especially melanoma, are diagnosed and monitored. The medical management of loca...
Artificial intelligence for multimodal data integration in oncology.
Cancer cell
Oct 10, 2022
In oncology, the patient state is characterized by a whole spectrum of modalities, ranging from radiology, histology, and genomics to electronic health records. Current artificial intelligence (AI) models operate mainly in the realm of a single modal...
SYMBIOSIS OF MEDICAL TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE: NEW OPPORTUNITIES IN ONCOLOGY.
Experimental oncology
Aug 1, 2022
Natural Language Processing Approaches for Retrieval of Clinically Relevant Genomic Information in Cancer.
Studies in health technology and informatics
Jun 29, 2022
The accelerating impact of genomic data in clinical decision-making has generated a paradigm shift from treatment based on the anatomic origin of the tumor to the incorporation of key genomic features to guide therapy. Assessing the clinical validity...
Oncological Applications of Deep Learning Generative Adversarial Networks.
JAMA oncology
May 1, 2022
The Essentials of Multiomics.
The oncologist
Apr 5, 2022
Within the last decade, the science of molecular testing has evolved from single gene and single protein analysis to broad molecular profiling as a standard of care, quickly transitioning from research to practice. Terms such as genomics, transcripto...
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