Exploring Gender Bias in AI for Personalized Medicine: Focus Group Study With Trans Community Members
[Background] This paper explores the perception and application of artificial intelligence (AI) for personalized medicine within the trans community, an often-overlooked demographic in the broader scope of precision medicine. Despite growing advancements in AI-driven health care solutions, little re...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:dnet:digitalcsic_::079eea1cdb5420672705fc724e977491 |
| Acceso en línea: | http://hdl.handle.net/10261/426121 https://api.elsevier.com/content/abstract/scopus_id/105012094994 |
| Access Level: | acceso abierto |
| Palabra clave: | Artificial intelligence Artificial intelligence biases Health biases Precision medicine Trans people Transgender medicine |
| Sumario: | [Background] This paper explores the perception and application of artificial intelligence (AI) for personalized medicine within the trans community, an often-overlooked demographic in the broader scope of precision medicine. Despite growing advancements in AI-driven health care solutions, little research has been dedicated to understanding how these technologies can be tailored to meet the unique health care needs of trans individuals. Addressing this gap is crucial for ensuring that precision medicine is genuinely inclusive and effective for all populations. |
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