Krishna Ayinampudi Bhargavi, Tanveer Azra, Bhagirath Pancha Venkat, Gannepalli Ashalata
Department of Oral Pathology, Panineeya Mahavidyalaya Institute of Dental Science, Hyderabad, Telangana, India.
J Oral Maxillofac Pathol. 2020 Jan-Apr;24(1):152-156. doi: 10.4103/jomfp.JOMFP_215_19. Epub 2020 May 8.
Over the decades, new equipment was emerged in medical field, and we have witnessed the importance of medical imaging such as computed tomography, magnetic resonance imaging, ultrasound, mammography and X-ray and their contribution in successful diagnosis and treatment of various diseases. Now, we are in era of artificial intelligence (AI), where machines were modeled after human brain's ability to take inputs and produce outputs from given data. AI has a wide range of uses and applications in health services industry. Factors such as increase in workload, complexity of work and potential fatigue of doctors may compromise diagnostic ability and outcome. AI components in imaging machines would reduce this workload and drive greater efficiency. They also have access to a greater wealth of data than human counterparts and can detect cancer with more accuracy than humans. This study presented an overview of AI, its recent advances in pathology and future prospects.
几十年来,医疗领域出现了新设备,我们见证了计算机断层扫描、磁共振成像、超声、乳房X线摄影和X射线等医学成像的重要性,以及它们在各种疾病的成功诊断和治疗中的贡献。现在,我们正处于人工智能(AI)时代,机器模仿人类大脑从给定数据中获取输入并产生输出的能力进行建模。人工智能在健康服务行业有广泛的用途和应用。工作量增加、工作复杂性以及医生潜在的疲劳等因素可能会影响诊断能力和结果。成像机器中的人工智能组件将减少这种工作量并提高效率。它们还能比人类获取更丰富的数据,并且在检测癌症方面比人类更准确。本研究概述了人工智能、其在病理学方面的最新进展以及未来前景。