Artificial Intelligence for Cancer Diagnosis & Radiology
Keywords:
Precision medicine, radiography, pathology, Deep learning, machine learning and omicsAbstract
Recent developments in artificial intelligence (AI) technology have sped up the clinical use of AI-enabled devices in the healthcare industry. The Food and Drug Administration (FDA) in the United States has already authorized more than 60 AIenabled medical devices, and the active use of AI technology is seen as a necessary trend for the future of medicine. Clinical applications of medical devices utilizing AI technology are currently under way in the field of cancer, primarily in radiology, and it is anticipated that AI technology will be positioned as a significant core technology. In particular, "precision medicine," a type of medical care that chooses the best course of action for every depending on patient a massive quantity of medical data, such as genomic data, has gained popularity on a global scale; In order to extract really valuable information from a big quantity of medical data and use it for diagnosis and treatment, AI technology is anticipated to be used. The history of AI technology, the present state of medical AI, particularly in the cancer industry, as well as the opportunities and difficulties of AI technology depending on patient profession will be reviewed. The review will also analyze the impact of AI technology on medical professionals, such as doctors and nurses, and how the technology can be used to better patient care. Finally, the review will look at the potential applications of AI technology in the healthcare sector and the ethical implications of its use.
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