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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| Format: | Conference or Workshop Item |
| Language: | English English |
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Institute of Electrical and Electronics Engineers Inc.
2023
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| 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 |
| _version_ | 1825815771631058944 |
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| author | Usmani, Usman Ahmad Usmani, Mohammed Umar |
| author_facet | Usmani, Usman Ahmad Usmani, Mohammed Umar |
| author_sort | Usmani, Usman Ahmad |
| collection | UMP |
| 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. |
| first_indexed | 2024-09-25T03:51:17Z |
| format | Conference or Workshop Item |
| id | UMPir41866 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-09-25T03:51:17Z |
| publishDate | 2023 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | UMPir418662024-08-30T00:12:57Z 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 |
| 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 |
| title | 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_short | 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 |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) |
| 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 |
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