Enhancing neuro-oncology care through equity-driven applications of artificial intelligence
The disease course and clinical outcome for brain tumor patients depend not only on the molecular and histological features of the tumor but also on the patient's demographics and social determinants of health. While current investigations in neuro-oncology have broadly utilized artificial inte...
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| Veröffentlicht in: | Neuro-oncology (Charlottesville, Va.) Va.), 2024-11, Vol.26 (11), p.1951-1963 |
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| container_end_page | 1963 |
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| container_issue | 11 |
| container_start_page | 1951 |
| container_title | Neuro-oncology (Charlottesville, Va.) |
| container_volume | 26 |
| creator | Mehari, Mulki Sibih, Youssef Dada, Abraham Chang, Susan M Wen, Patrick Y Molinaro, Annette M Chukwueke, Ugonma N Budhu, Joshua A Jackson, Sadhana McFaline-Figueroa, J Ricardo Porter, Alyx Hervey-Jumper, Shawn L |
| description | The disease course and clinical outcome for brain tumor patients depend not only on the molecular and histological features of the tumor but also on the patient's demographics and social determinants of health. While current investigations in neuro-oncology have broadly utilized artificial intelligence (AI) to enrich tumor diagnosis and more accurately predict treatment response, postoperative complications, and survival, equity-driven applications of AI have been limited. However, AI applications to advance health equity in the broader medical field have the potential to serve as practical blueprints to address known disparities in neuro-oncologic care. In this consensus review, we will describe current applications of AI in neuro-oncology, postulate viable AI solutions for the most pressing inequities in neuro-oncology based on broader literature, propose a framework for the effective integration of equity into AI-based neuro-oncology research, and close with the limitations of AI. |
| doi_str_mv | 10.1093/neuonc/noae127 |
| format | Article |
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While current investigations in neuro-oncology have broadly utilized artificial intelligence (AI) to enrich tumor diagnosis and more accurately predict treatment response, postoperative complications, and survival, equity-driven applications of AI have been limited. However, AI applications to advance health equity in the broader medical field have the potential to serve as practical blueprints to address known disparities in neuro-oncologic care. In this consensus review, we will describe current applications of AI in neuro-oncology, postulate viable AI solutions for the most pressing inequities in neuro-oncology based on broader literature, propose a framework for the effective integration of equity into AI-based neuro-oncology research, and close with the limitations of AI.</description><identifier>ISSN: 1522-8517</identifier><identifier>ISSN: 1523-5866</identifier><identifier>EISSN: 1523-5866</identifier><identifier>DOI: 10.1093/neuonc/noae127</identifier><identifier>PMID: 39159285</identifier><language>eng</language><publisher>England</publisher><subject>Artificial Intelligence ; Brain Neoplasms - therapy ; Health Equity ; Healthcare Disparities ; Humans ; Medical Oncology - methods ; Medical Oncology - organization & administration</subject><ispartof>Neuro-oncology (Charlottesville, Va.), 2024-11, Vol.26 (11), p.1951-1963</ispartof><rights>The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. 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While current investigations in neuro-oncology have broadly utilized artificial intelligence (AI) to enrich tumor diagnosis and more accurately predict treatment response, postoperative complications, and survival, equity-driven applications of AI have been limited. However, AI applications to advance health equity in the broader medical field have the potential to serve as practical blueprints to address known disparities in neuro-oncologic care. In this consensus review, we will describe current applications of AI in neuro-oncology, postulate viable AI solutions for the most pressing inequities in neuro-oncology based on broader literature, propose a framework for the effective integration of equity into AI-based neuro-oncology research, and close with the limitations of AI.</description><subject>Artificial Intelligence</subject><subject>Brain Neoplasms - therapy</subject><subject>Health Equity</subject><subject>Healthcare Disparities</subject><subject>Humans</subject><subject>Medical Oncology - methods</subject><subject>Medical Oncology - organization & administration</subject><issn>1522-8517</issn><issn>1523-5866</issn><issn>1523-5866</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kD1PwzAQQC0EoqWwMqKMLGl9dpzYI6rKh1SJBSaGyHbs1Ci1WztB6r8n0MJ0N7x7Oj2EbgHPAQu68GYIXi98kAZIdYamwAjNGS_L89-d5JxBNUFXKX1iTICVcIkmVAAThLMp-lj5jfTa-TYbVTHkoy10oT1kWkaT9ZsYhnaTmf3g-kPeRPdlfCZ3u85p2bvgUxZsJmPvrNNOdpnzvek61xqvzTW6sLJL5uY0Z-j9cfW2fM7Xr08vy4d1roHjPq-EpkCaRhSNkNZoBaohSpmKgcTcFsAKaTkXilsJSlWaq4qRilqiC8I00Bm6P3p3MewHk_p665Ie35DehCHVFIuCE0xKMaLzI6pjSCkaW--i28p4qAHXP0HrY9D6FHQ8uDu5B7U1zT_-V5B-A5LLdo4</recordid><startdate>20241104</startdate><enddate>20241104</enddate><creator>Mehari, Mulki</creator><creator>Sibih, Youssef</creator><creator>Dada, Abraham</creator><creator>Chang, Susan M</creator><creator>Wen, Patrick Y</creator><creator>Molinaro, Annette M</creator><creator>Chukwueke, Ugonma N</creator><creator>Budhu, Joshua A</creator><creator>Jackson, Sadhana</creator><creator>McFaline-Figueroa, J Ricardo</creator><creator>Porter, Alyx</creator><creator>Hervey-Jumper, Shawn L</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4699-260X</orcidid><orcidid>https://orcid.org/0000-0001-6700-5621</orcidid><orcidid>https://orcid.org/0000-0003-0666-1320</orcidid><orcidid>https://orcid.org/0000-0002-8923-9784</orcidid><orcidid>https://orcid.org/0000-0002-9854-7404</orcidid></search><sort><creationdate>20241104</creationdate><title>Enhancing neuro-oncology care through equity-driven applications of artificial intelligence</title><author>Mehari, Mulki ; 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| fulltext | fulltext |
| identifier | ISSN: 1522-8517 |
| ispartof | Neuro-oncology (Charlottesville, Va.), 2024-11, Vol.26 (11), p.1951-1963 |
| issn | 1522-8517 1523-5866 1523-5866 |
| language | eng |
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| source | Oxford University Press Journals All Titles (1996-Current); MEDLINE |
| subjects | Artificial Intelligence Brain Neoplasms - therapy Health Equity Healthcare Disparities Humans Medical Oncology - methods Medical Oncology - organization & administration |
| title | Enhancing neuro-oncology care through equity-driven applications of artificial intelligence |
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