AI-driven biomedical and health informatics : Harnessing artificial intelligence for improved healthcare solutions

Usmani, Usman Ahmad and Usmani, Mohammed Umar (2023) AI-driven biomedical and health informatics : Harnessing artificial intelligence for improved healthcare solutions. In: 2023 2nd International Conference on Futuristic Technologies, INCOFT 2023. 2nd IEEE International Conference on Futuristic Technologies, INCOFT 2023 , 24 - 26 November 2023 , Belagavi, Karnataka. pp. 1-7. (197521). ISBN 979-835030884-6 (Published)

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Abstract

This paper explores the convergence of Artificial Intelligence (AI) with Biomedical and Health Informatics, focusing on the transformative potential of AI-driven solutions in the healthcare domain. With the growing availability of healthcare data and advancements in AI technologies, there is an increasing emphasis on leveraging AI techniques to enhance medical diag- nosis, treatment, and patient care. This paper highlights recent research and applications that demonstrate the impact of AI in areas such as medical image analysis, disease prediction, drug discovery, and personalized medicine. Additionally, it addresses the challenges and ethical considerations associated with integrating AI into healthcare systems, emphasizing the need for robust and interpretable AI models, data privacy, and trustworthiness. By delving into the opportunities and challenges presented by AI in Biomedical and Health Informatics, this paper aims to inspire further research and collaboration in this promising and critical intersection of disciplines.

Item Type:	Conference or Workshop Item (Other)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	AI-Driven; Artificial intelligence; Biomedical; Health informatics; Healthcare solutions
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division:	Institute of Postgraduate Studies Faculty of Civil Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	30 Aug 2024 00:12
Last Modified:	30 Aug 2024 00:12
URI:	http://umpir.ump.edu.my/id/eprint/41866
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