The use of algorithms to simulate human cognitive capacities and to handle challenging healthcare issues, such as complex biological disorders like cancer, is known as artificial intelligence (AI). Artificial intelligence (AI) has the capacity to handle enormous amounts of data and enable optimum decision-making, but the human mind is constrained to processing small amounts of data quickly. AI-based algorithms have a great deal of potential to open the door to the early detection of genetic abnormalities and abnormal protein interactions. Thus, AI offers significant prospects and in the form of support for pathologists and medical professionals, which may be the big step forward in disease risk prediction, diagnosis, prognosis, and therapies. The future of medical guidance will move toward speedier mapping of a new treatment for each person through clinical applications of AI and machine learning (ML) in cancer diagnosis and treatment. The major goal of the research is to effectively treat cancer patients by using technology in the form of artificial intelligence.
Wednesday, 6 July 2022
AI and Opportunities in Cancer Care | Chapter 1 | Current Practice in Medical Science Vol. 2
Author(s) Details:
Department of Radiation Oncology, Pt. BD Sharma PGIMS, Rohtak, Haryana,
India.
Abhshek Soni,
Department of Radiation Oncology, Pt. BD Sharma PGIMS, Rohtak, Haryana,
India.
Rakesh Dhankhar,
Department of Radiation Oncology, Pt. BD Sharma PGIMS, Rohtak, Haryana,
India.
Vivek Kaushal,
Department of Radiation Oncology, Pt. BD Sharma PGIMS, Rohtak, Haryana,
India.
Ashok Chauhan,
Department of Radiation Oncology, Pt. BD Sharma PGIMS, Rohtak, Haryana,
India.
Rajeev Atri,
Department of Radiation Oncology, Pt. BD Sharma PGIMS, Rohtak, Haryana,
India.
Please see the link here: https://stm.bookpi.org/CPMS-V2/article/view/7340
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