Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention
<p dir="ltr">Artificial Intelligence (AI) has gained huge attention in computer-aided decision-making in the healthcare domain. Many novel AI methods have been developed for disease diagnosis and prognosis which may support in the prevention of disease. Most diseases can be cured ear...
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2024
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| _version_ | 1864513509831737344 |
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| author | Hazrat Ali (421019) |
| author2 | Zubair Shah (231886) Tanvir Alam (638619) Priyantha Wijayatunga (3446435) Eyad Elyan (17296126) |
| author2_role | author author author author |
| author_facet | Hazrat Ali (421019) Zubair Shah (231886) Tanvir Alam (638619) Priyantha Wijayatunga (3446435) Eyad Elyan (17296126) |
| author_role | author |
| dc.creator.none.fl_str_mv | Hazrat Ali (421019) Zubair Shah (231886) Tanvir Alam (638619) Priyantha Wijayatunga (3446435) Eyad Elyan (17296126) |
| dc.date.none.fl_str_mv | 2024-01-10T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3389/fradi.2023.1349830 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Editorial_Recent_advances_in_multimodal_artificial_intelligence_for_disease_diagnosis_prognosis_and_prevention/26389450 |
| 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 electronic health records healthcare medical imaging radiology multimodal artificial intelligence vision transformers |
| dc.title.none.fl_str_mv | Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Artificial Intelligence (AI) has gained huge attention in computer-aided decision-making in the healthcare domain. Many novel AI methods have been developed for disease diagnosis and prognosis which may support in the prevention of disease. Most diseases can be cured early and managed better if timely diagnosis is made. The AI models can aid clinical diagnosis; thus, they make the processes more efficient by reducing the workload of physicians, nurses, radiologists, and others. However, the majority of AI methods rely on the use of single-modality data.</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Radiology<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fradi.2023.1349830" target="_blank">https://dx.doi.org/10.3389/fradi.2023.1349830</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_31ce90397447ae3d5fd9de8eb4df3871 |
| identifier_str_mv | 10.3389/fradi.2023.1349830 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26389450 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and preventionHazrat Ali (421019)Zubair Shah (231886)Tanvir Alam (638619)Priyantha Wijayatunga (3446435)Eyad Elyan (17296126)Health sciencesHealth services and systemsInformation and computing sciencesArtificial intelligenceelectronic health recordshealthcaremedical imagingradiologymultimodal artificial intelligencevision transformers<p dir="ltr">Artificial Intelligence (AI) has gained huge attention in computer-aided decision-making in the healthcare domain. Many novel AI methods have been developed for disease diagnosis and prognosis which may support in the prevention of disease. Most diseases can be cured early and managed better if timely diagnosis is made. The AI models can aid clinical diagnosis; thus, they make the processes more efficient by reducing the workload of physicians, nurses, radiologists, and others. However, the majority of AI methods rely on the use of single-modality data.</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Radiology<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fradi.2023.1349830" target="_blank">https://dx.doi.org/10.3389/fradi.2023.1349830</a></p>2024-01-10T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3389/fradi.2023.1349830https://figshare.com/articles/journal_contribution/Editorial_Recent_advances_in_multimodal_artificial_intelligence_for_disease_diagnosis_prognosis_and_prevention/26389450CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/263894502024-01-10T09:00:00Z |
| spellingShingle | Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention Hazrat Ali (421019) Health sciences Health services and systems Information and computing sciences Artificial intelligence electronic health records healthcare medical imaging radiology multimodal artificial intelligence vision transformers |
| status_str | publishedVersion |
| title | Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention |
| title_full | Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention |
| title_fullStr | Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention |
| title_full_unstemmed | Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention |
| title_short | Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention |
| title_sort | Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention |
| topic | Health sciences Health services and systems Information and computing sciences Artificial intelligence electronic health records healthcare medical imaging radiology multimodal artificial intelligence vision transformers |