Version 1
: Received: 1 January 2024 / Approved: 3 January 2024 / Online: 3 January 2024 (10:05:19 CET)
How to cite:
Patel, A.U.; Gu, Q.; Esper, R.; Maeser, D.; Maeser, N. The Crucial Role of Interdisciplinary Conferences in Advancing Explainable AI in Healthcare. Preprints2024, 2024010231. https://doi.org/10.20944/preprints202401.0231.v1
Patel, A.U.; Gu, Q.; Esper, R.; Maeser, D.; Maeser, N. The Crucial Role of Interdisciplinary Conferences in Advancing Explainable AI in Healthcare. Preprints 2024, 2024010231. https://doi.org/10.20944/preprints202401.0231.v1
Patel, A.U.; Gu, Q.; Esper, R.; Maeser, D.; Maeser, N. The Crucial Role of Interdisciplinary Conferences in Advancing Explainable AI in Healthcare. Preprints2024, 2024010231. https://doi.org/10.20944/preprints202401.0231.v1
APA Style
Patel, A.U., Gu, Q., Esper, R., Maeser, D., & Maeser, N. (2024). The Crucial Role of Interdisciplinary Conferences in Advancing Explainable AI in Healthcare. Preprints. https://doi.org/10.20944/preprints202401.0231.v1
Chicago/Turabian Style
Patel, A.U., Danielle Maeser and Nicole Maeser. 2024 "The Crucial Role of Interdisciplinary Conferences in Advancing Explainable AI in Healthcare" Preprints. https://doi.org/10.20944/preprints202401.0231.v1
Abstract
Interdisciplinary conferences play a vital role in advancing explainable Artificial Intelligence (AI) within increasingly intersecting healthcare and computational biology arenas. Challenges result-ing from algorithmic bias and the necessity for domain-specific Explainable AI (XAI) techniques underscore the increasing significance of transparent and interpretable AI systems used in patient care. Collaborative efforts between clinicians, data scientists, and various stakeholders are nec-essary to innovate solutions tailored to healthcare needs. Specialized conferences may foster these interdisciplinary interactions, providing platforms for knowledge exchange, networking, and collaborative partnerships. The legal, ethical, and societal dimensions of medical AI advocate for an integrative approach that aligns technological advancements with patient-centered care val-ues. The role of specialized conferences is therefore essential for shaping future directions in ex-plainable AI and computational biology that contribute to improved patient outcomes and healthcare innovations.
Keywords
Explainable AI (XAI); Interdisciplinary Conferences; GLBIO ISCB; Healthcare Informatics; Computational Biology; AI Ethics in Healthcare; Algorithmic Transparency; AI in Medical Decision Making; Patient-Centered AI; Regulatory Aspects of Healthcare AI
Subject
Public Health and Healthcare, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
