Generative Ai In Medicine And Health Care: Promises, Opportunities And Challenges

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Ms. Manishaben D. Bhatol
Kundankumar K. Chaudhary
Vaishaliben P. Patel

Abstract

Machine learning and other types of “Generative AI, such as OpenAI’s ChatGPT” can trained for generating an assortment of material by following precise instructions. This story provides a comprehensive review of various uses of “Generative Artificial Intelligence (AI)” in the fields of “remedial & medicine”. The focus is specifically on a chosen set of example situations. Next, we will briefly examine some associated obstacles, including as integrity, openness, reliability, and safety in clinical settings, as well as privacy concerns, copyright issues, ownership matters, and the possibility of conversational user interfaces enhanced by AI to improve human-computer interaction. As “Generative AI” advances and becomes more adapted towards inimitable circumstances & requirements for “remedial domain”, as well as laws, regulations & legislation regulating its usage starts to solidify, we anticipate that it will progressively assume a crucial role in “remedial & medicine”.

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How to Cite
Ms. Manishaben D. Bhatol, Kundankumar K. Chaudhary, & Vaishaliben P. Patel. (2024). Generative Ai In Medicine And Health Care: Promises, Opportunities And Challenges. Educational Administration: Theory and Practice, 30(3), 2503–2515. https://doi.org/10.53555/kuey.v30i3.6756
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Articles
Author Biographies

Ms. Manishaben D. Bhatol

Assistant professor, IIICT, Indus University, Ahmedabad, Gujarat, India.

Kundankumar K. Chaudhary

Assistant Professor, Mansinhbhai Institute of Dairy and Food Technology, Mehsana, Gujarat, India

Vaishaliben P. Patel

Assistant professor, IIICT, Indus University, Ahmedabad, Gujarat, India.