打破障碍:人工智能对资源稀缺的医疗系统中的病理学和瘤学的影响

Alon Vigdorovits1,2, Maria Magdalena Köteles3, Gheorghe-Emilian Olteanu2,4,5

  • 1Department of Pathology, County Clinical Emergency Hospital, Faculty of Medicine and Pharmacy, University of Oradea, 1 December Sq. No. 10, 410087 Oradea, Romania.

Cancers
|December 9, 2023
PubMed
概括

病理学中的人工智能 (AI) 可以通过提高诊断准确性和预测治疗结果来增强癌症护理. 本综述探讨了瘤学,临床工具和数字病理学采用的挑战中的AI应用.

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