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Year : 2020  |  Volume : 17  |  Issue : 1  |  Page : 53-59

Extending capabilities of artificial intelligence for decision-making and healthcare education

1 Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India
2 Department of Computer Science and Engineering, Jamia Hamdard, New Delhi, India
3 Department of Orthopaedics, Indraprastha Apollo Hospital, New Delhi, India

Correspondence Address:
Raju Vaishya
Department of Orthopaedics, Indraprastha Apollo Hospital, Sarita Vihar, Mathura Road, New Delhi - 110 076
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/am.am_10_20

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Medical profession requires extensive knowledge and accuracy from the existing data for improved decision-making. Artificial intelligence (AI) is an appropriate technology used to improve the knowledge, skill, quality of treatment, capability, confidence, and effective decision-making process. It has the capability to revolutionize the healthcare industry. It can identify high-risk patients and their associated treatments and can help train doctors for the understanding of diseases and diagnostic treatment for better patient health. We discuss various advantages and limitations of AI in the context of healthcare sector. Various significant capabilities of AI for decision-making are identified and presented, and its significant capabilities for healthcare education are consolidated herewith. AI is helpful for appropriate planning, diagnosis, and associated activities, such as education, training, research, and development of healthcare. This technology provides some excellent capabilities to notice the changes and predict the disease of the patient. AI is now being applied for developing personal health history, and industry is contemplating a great potential for its implementation. However, cost and privacy issues are yet to be taken care of.

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