变革医疗保健：人工智能在医学成像和药物反应预测中的应用
Transforming Healthcare: Artificial Intelligence (AI) Applications in Medical Imaging and Drug Response Prediction.
作者信息
Prathaban Karthik, Hande M Prakash
机构信息
Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
出版信息
Genome Integr. 2025 Jan 22;15:e20240002. doi: 10.14293/genint.15.1.002. eCollection 2024.
Abstract
Artificial intelligence (AI) offers a broad range of enhancements in medicine. Machine learning and deep learning techniques have shown significant potential in improving diagnosis and treatment outcomes, from assisting clinicians in diagnosing medical images to ascertaining effective drugs for a specific disease. Despite the prospective benefits, adopting AI in clinical settings requires careful consideration, particularly concerning data generalisation and model explainability. This commentary aims to discuss two potential use cases for AI in the field of medicine and the overarching challenges involved in their implementation.
摘要
人工智能（AI）为医学带来了广泛的提升。机器学习和深度学习技术在改善诊断和治疗结果方面显示出巨大潜力，从协助临床医生诊断医学影像到确定针对特定疾病的有效药物。尽管有潜在的好处，但在临床环境中采用人工智能需要仔细考虑，特别是在数据泛化和模型可解释性方面。本评论旨在讨论人工智能在医学领域的两个潜在用例以及实施过程中涉及的总体挑战。
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