Puri Sarandeep S, Lath Ankur K, Goel Neha, Admane Pushkar D, Garg Pradeep, Ethirajan Renu
Pathology, GS Medical College and Hospital, Hapur, IND.
Pathology, Horiba, New Delhi, IND.
Cureus. 2024 Nov 8;16(11):e73274. doi: 10.7759/cureus.73274. eCollection 2024 Nov.
Artificial intelligence (AI) is transforming haematology reporting by improving accuracy, standardisation, and speed, addressing the need for timely and precise diagnostics. This study explores the use of the AI100 (SigTuple Technologies Private Limited, Bangalore, India) automated machine, a smart robotic microscope designed to automate the microscopic analysis of peripheral blood smears. Through the analysis of four haematology cases, this study demonstrates how AI technology facilitates efficient cell identification, enhances risk stratification, enables early detection of abnormalities, and accelerates diagnostic turnaround times. These advancements support pathologists in delivering improved patient care by augmenting traditional diagnostic methods. While AI can streamline processes and increase diagnostic accuracy, it is intended to complement, rather than replace, the expertise and judgement of skilled pathologists.
人工智能(AI)正在通过提高准确性、标准化和速度来改变血液学报告,满足及时和精确诊断的需求。本研究探讨了AI100(印度班加罗尔的SigTuple Technologies Private Limited公司)自动化机器的使用,这是一种智能机器人显微镜,旨在自动对外周血涂片进行显微镜分析。通过对四个血液学病例的分析,本研究展示了人工智能技术如何促进高效的细胞识别、加强风险分层、实现异常的早期检测以及加快诊断周转时间。这些进展通过增强传统诊断方法来支持病理学家提供更好的患者护理。虽然人工智能可以简化流程并提高诊断准确性,但它旨在补充而非取代熟练病理学家的专业知识和判断力。