Artificial intelligence in healthcare: A focus on the best practices
The healthcare sector is undergoing a significant transformation driven by Artificial Intelligence (AI). AI applications in clinical practice offer a multitude of benefits for patient care, including earlier and more accurate diagnoses, personalized treatment planning, and improved access to informa...
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Format: | Article |
Language: | English |
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EDP Sciences
2024-01-01
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Series: | ITM Web of Conferences |
Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_02010.pdf |
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author | Haddiya Intissar Ramdani Sara |
author_facet | Haddiya Intissar Ramdani Sara |
author_sort | Haddiya Intissar |
collection | DOAJ |
description | The healthcare sector is undergoing a significant transformation driven by Artificial Intelligence (AI). AI applications in clinical practice offer a multitude of benefits for patient care, including earlier and more accurate diagnoses, personalized treatment planning, and improved access to information through virtual assistants. However, alongside this potential, challenges and ethical considerations remain. Data privacy, algorithmic bias, transparency of AI decision-making, and responsible use are crucial areas that require careful attention. Our presentation emphasizes the importance of establishing robust best practices within healthcare institutions and fostering collaboration among clinicians, data scientists, patients, and policymakers. Through careful consideration and ongoing refinement of AI technologies, we can leverage its potential to improve patient outcomes while upholding ethical standards and public health priorities. |
format | Article |
id | doaj-art-25d545c479834761b43256a15cb858d5 |
institution | Kabale University |
issn | 2271-2097 |
language | English |
publishDate | 2024-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | ITM Web of Conferences |
spelling | doaj-art-25d545c479834761b43256a15cb858d52025-01-08T10:58:54ZengEDP SciencesITM Web of Conferences2271-20972024-01-01690201010.1051/itmconf/20246902010itmconf_maih2024_02010Artificial intelligence in healthcare: A focus on the best practicesHaddiya Intissar0Ramdani Sara1Department of Nephrology, Mohammed VI University HospitalLaboratory of Epidemiology, Clinical Research and Public Health, Faculty of Medicine and Pharmacy of Oujda, University Mohammed FirstThe healthcare sector is undergoing a significant transformation driven by Artificial Intelligence (AI). AI applications in clinical practice offer a multitude of benefits for patient care, including earlier and more accurate diagnoses, personalized treatment planning, and improved access to information through virtual assistants. However, alongside this potential, challenges and ethical considerations remain. Data privacy, algorithmic bias, transparency of AI decision-making, and responsible use are crucial areas that require careful attention. Our presentation emphasizes the importance of establishing robust best practices within healthcare institutions and fostering collaboration among clinicians, data scientists, patients, and policymakers. Through careful consideration and ongoing refinement of AI technologies, we can leverage its potential to improve patient outcomes while upholding ethical standards and public health priorities.https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_02010.pdf |
spellingShingle | Haddiya Intissar Ramdani Sara Artificial intelligence in healthcare: A focus on the best practices ITM Web of Conferences |
title | Artificial intelligence in healthcare: A focus on the best practices |
title_full | Artificial intelligence in healthcare: A focus on the best practices |
title_fullStr | Artificial intelligence in healthcare: A focus on the best practices |
title_full_unstemmed | Artificial intelligence in healthcare: A focus on the best practices |
title_short | Artificial intelligence in healthcare: A focus on the best practices |
title_sort | artificial intelligence in healthcare a focus on the best practices |
url | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_02010.pdf |
work_keys_str_mv | AT haddiyaintissar artificialintelligenceinhealthcareafocusonthebestpractices AT ramdanisara artificialintelligenceinhealthcareafocusonthebestpractices |