Meroueh Chady, Chen Zongming Eric
Division of Anatomic Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, 55905, USA.
Division of Anatomic Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, 55905, USA.
Hum Pathol. 2023 Feb;132:31-38. doi: 10.1016/j.humpath.2022.07.008. Epub 2022 Jul 20.
With the convergence of digital pathology (DP) and artificial intelligence (AI), anatomic pathology practice has been experiencing an exciting paradigm shifting. Pathologists will be provided with an augmented ability to improve diagnostic accuracy, efficiency, and consistency. There will be subvisual morphometric features discovered and multiomics data integrated to provide better prognostic and theragnostic information to guide individual patients' management. The perspective for future precision medicine is promising. However, there are many challenges before AI-assisted DP diagnostic workflows can be successfully implemented. Herein, we briefly review some examples of AI application in anatomic pathology with an emphasis on the subspecialty of gastrointestinal pathology and discuss potential challenges for clinical implementation.
随着数字病理学(DP)与人工智能(AI)的融合,解剖病理学实践正在经历一场令人兴奋的范式转变。病理学家将具备更强的能力来提高诊断准确性、效率和一致性。将会发现亚视觉形态计量学特征并整合多组学数据,以提供更好的预后和诊疗信息,从而指导个体患者的管理。未来精准医学的前景十分广阔。然而,在人工智能辅助的数字病理学诊断工作流程能够成功实施之前,仍存在许多挑战。在此,我们简要回顾一些人工智能在解剖病理学中的应用实例,重点关注胃肠病理学亚专业,并讨论临床实施中的潜在挑战。