Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical Challenges
<p dir="ltr">This review paper examines the transformative role of artificial intelligence (AI) and dynamic ensemble techniques in enhancing healthcare services. By systematically reviewing literature and case studies from the past decade, we explore how these advanced computational...
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2024
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| _version_ | 1864513540963958784 |
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| author | Haseeb Javed (18576340) |
| author2 | Hafiz Abdul Muqeet (19146206) Amirhossein Danesh (22155085) Atiq Ur Rehman (8843024) Tahir Javed (22155088) Amine Bermak (1895947) |
| author2_role | author author author author author |
| author_facet | Haseeb Javed (18576340) Hafiz Abdul Muqeet (19146206) Amirhossein Danesh (22155085) Atiq Ur Rehman (8843024) Tahir Javed (22155088) Amine Bermak (1895947) |
| author_role | author |
| dc.creator.none.fl_str_mv | Haseeb Javed (18576340) Hafiz Abdul Muqeet (19146206) Amirhossein Danesh (22155085) Atiq Ur Rehman (8843024) Tahir Javed (22155088) Amine Bermak (1895947) |
| dc.date.none.fl_str_mv | 2024-10-07T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2024.3443812 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Impact_of_AI_and_Dynamic_Ensemble_Techniques_in_Enhancing_Healthcare_Services_Opportunities_and_Ethical_Challenges/30023173 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Health sciences Health services and systems Information and computing sciences Artificial intelligence Machine learning Robustness artificial intelligence ensemble learning healthcare analytics dynamic ensemble techniques predictive analytics computational challenges data privacy algorithmic adaptability Medical services Artificial intelligence Monitoring Biomedical monitoring Accuracy Heuristic algorithms Data models Ensemble learning Predictive models Data privacy Algorithm design and analysis |
| dc.title.none.fl_str_mv | Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical Challenges |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">This review paper examines the transformative role of artificial intelligence (AI) and dynamic ensemble techniques in enhancing healthcare services. By systematically reviewing literature and case studies from the past decade, we explore how these advanced computational methods improve diagnostic accuracy, personalize treatment plans, and optimize patient monitoring. Dynamic ensemble techniques, which leverage multiple predictive models to improve outcome accuracy, offer significant promise in addressing the complexities of patient data and disease manifestations. This paper delves into applications spanning AI-driven diagnostics, personalized medicine, and remote patient monitoring, highlighting both the advancements and challenges faced in integrating these technologies into healthcare. We also address the ethical and computational challenges inherent in deploying dynamic ensemble methods and propose directions for future research. Our findings suggest that while significant progress has been made, multidisciplinary collaboration and continued innovation are crucial for overcoming current limitations and realizing the full potential of AI in healthcare.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2024.3443812" target="_blank">https://dx.doi.org/10.1109/access.2024.3443812</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_bdfabbbc0f7338ed9170ba021225117d |
| identifier_str_mv | 10.1109/access.2024.3443812 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/30023173 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical ChallengesHaseeb Javed (18576340)Hafiz Abdul Muqeet (19146206)Amirhossein Danesh (22155085)Atiq Ur Rehman (8843024)Tahir Javed (22155088)Amine Bermak (1895947)Health sciencesHealth services and systemsInformation and computing sciencesArtificial intelligenceMachine learningRobustnessartificial intelligenceensemble learninghealthcare analyticsdynamic ensemble techniquespredictive analyticscomputational challengesdata privacyalgorithmic adaptabilityMedical servicesArtificial intelligenceMonitoringBiomedical monitoringAccuracyHeuristic algorithmsData modelsEnsemble learningPredictive modelsData privacyAlgorithm design and analysis<p dir="ltr">This review paper examines the transformative role of artificial intelligence (AI) and dynamic ensemble techniques in enhancing healthcare services. By systematically reviewing literature and case studies from the past decade, we explore how these advanced computational methods improve diagnostic accuracy, personalize treatment plans, and optimize patient monitoring. Dynamic ensemble techniques, which leverage multiple predictive models to improve outcome accuracy, offer significant promise in addressing the complexities of patient data and disease manifestations. This paper delves into applications spanning AI-driven diagnostics, personalized medicine, and remote patient monitoring, highlighting both the advancements and challenges faced in integrating these technologies into healthcare. We also address the ethical and computational challenges inherent in deploying dynamic ensemble methods and propose directions for future research. Our findings suggest that while significant progress has been made, multidisciplinary collaboration and continued innovation are crucial for overcoming current limitations and realizing the full potential of AI in healthcare.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2024.3443812" target="_blank">https://dx.doi.org/10.1109/access.2024.3443812</a></p>2024-10-07T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2024.3443812https://figshare.com/articles/journal_contribution/Impact_of_AI_and_Dynamic_Ensemble_Techniques_in_Enhancing_Healthcare_Services_Opportunities_and_Ethical_Challenges/30023173CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/300231732024-10-07T09:00:00Z |
| spellingShingle | Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical Challenges Haseeb Javed (18576340) Health sciences Health services and systems Information and computing sciences Artificial intelligence Machine learning Robustness artificial intelligence ensemble learning healthcare analytics dynamic ensemble techniques predictive analytics computational challenges data privacy algorithmic adaptability Medical services Artificial intelligence Monitoring Biomedical monitoring Accuracy Heuristic algorithms Data models Ensemble learning Predictive models Data privacy Algorithm design and analysis |
| status_str | publishedVersion |
| title | Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical Challenges |
| title_full | Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical Challenges |
| title_fullStr | Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical Challenges |
| title_full_unstemmed | Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical Challenges |
| title_short | Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical Challenges |
| title_sort | Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical Challenges |
| topic | Health sciences Health services and systems Information and computing sciences Artificial intelligence Machine learning Robustness artificial intelligence ensemble learning healthcare analytics dynamic ensemble techniques predictive analytics computational challenges data privacy algorithmic adaptability Medical services Artificial intelligence Monitoring Biomedical monitoring Accuracy Heuristic algorithms Data models Ensemble learning Predictive models Data privacy Algorithm design and analysis |