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

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 incr...

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Main Authors: Usmani, Usman Ahmad, Usmani, Mohammed Umar
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/41866/1/AI-driven%20biomedical%20and%20health%20informatics.pdf
http://umpir.ump.edu.my/id/eprint/41866/2/AI-driven%20biomedical%20and%20health%20informatics_Harnessing%20artificial%20intelligence%20for%20improved%20healthcare%20solutions_ABS.pdf
http://umpir.ump.edu.my/id/eprint/41866/
https://doi.org/10.1109/INCOFT60753.2023.10425780
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spelling my.ump.umpir.418662024-08-30T00:12:57Z http://umpir.ump.edu.my/id/eprint/41866/ AI-driven biomedical and health informatics : Harnessing artificial intelligence for improved healthcare solutions Usmani, Usman Ahmad Usmani, Mohammed Umar T Technology (General) TA Engineering (General). Civil engineering (General) 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. Institute of Electrical and Electronics Engineers Inc. 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/41866/1/AI-driven%20biomedical%20and%20health%20informatics.pdf pdf en http://umpir.ump.edu.my/id/eprint/41866/2/AI-driven%20biomedical%20and%20health%20informatics_Harnessing%20artificial%20intelligence%20for%20improved%20healthcare%20solutions_ABS.pdf 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) https://doi.org/10.1109/INCOFT60753.2023.10425780
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Usmani, Usman Ahmad
Usmani, Mohammed Umar
AI-driven biomedical and health informatics : Harnessing artificial intelligence for improved healthcare solutions
description 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.
format Conference or Workshop Item
author Usmani, Usman Ahmad
Usmani, Mohammed Umar
author_facet Usmani, Usman Ahmad
Usmani, Mohammed Umar
author_sort Usmani, Usman Ahmad
title AI-driven biomedical and health informatics : Harnessing artificial intelligence for improved healthcare solutions
title_short AI-driven biomedical and health informatics : Harnessing artificial intelligence for improved healthcare solutions
title_full AI-driven biomedical and health informatics : Harnessing artificial intelligence for improved healthcare solutions
title_fullStr AI-driven biomedical and health informatics : Harnessing artificial intelligence for improved healthcare solutions
title_full_unstemmed AI-driven biomedical and health informatics : Harnessing artificial intelligence for improved healthcare solutions
title_sort ai-driven biomedical and health informatics : harnessing artificial intelligence for improved healthcare solutions
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/41866/1/AI-driven%20biomedical%20and%20health%20informatics.pdf
http://umpir.ump.edu.my/id/eprint/41866/2/AI-driven%20biomedical%20and%20health%20informatics_Harnessing%20artificial%20intelligence%20for%20improved%20healthcare%20solutions_ABS.pdf
http://umpir.ump.edu.my/id/eprint/41866/
https://doi.org/10.1109/INCOFT60753.2023.10425780
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score 13.232414

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