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人工智能在血液学病例报告中的变革性作用：一例病例报告

Transformative Role of Artificial Intelligence in Reporting Haematology Cases: A Case Report.

作者信息

Puri Sarandeep S, Lath Ankur K, Goel Neha, Admane Pushkar D, Garg Pradeep, Ethirajan Renu

机构信息

Pathology, GS Medical College and Hospital, Hapur, IND.

Pathology, Horiba, New Delhi, IND.

出版信息

Cureus. 2024 Nov 8;16(11):e73274. doi: 10.7759/cureus.73274. eCollection 2024 Nov.

DOI:10.7759/cureus.73274
PMID:39650924
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11625413/
Abstract

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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b6b/11625413/d58732993837/cureus-0016-00000073274-i07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b6b/11625413/b9685e131513/cureus-0016-00000073274-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b6b/11625413/fa16dcccf2a2/cureus-0016-00000073274-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b6b/11625413/127a83e58fd5/cureus-0016-00000073274-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b6b/11625413/9280deff25a9/cureus-0016-00000073274-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b6b/11625413/18b2a5df5f5b/cureus-0016-00000073274-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b6b/11625413/916899d42ec0/cureus-0016-00000073274-i06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b6b/11625413/d58732993837/cureus-0016-00000073274-i07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b6b/11625413/b9685e131513/cureus-0016-00000073274-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b6b/11625413/fa16dcccf2a2/cureus-0016-00000073274-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b6b/11625413/127a83e58fd5/cureus-0016-00000073274-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b6b/11625413/9280deff25a9/cureus-0016-00000073274-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b6b/11625413/18b2a5df5f5b/cureus-0016-00000073274-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b6b/11625413/916899d42ec0/cureus-0016-00000073274-i06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b6b/11625413/d58732993837/cureus-0016-00000073274-i07.jpg

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本文引用的文献

1
A Review of Artificial Intelligence Applications in Hematology Management: Current Practices and Future Prospects.人工智能在血液学管理中的应用综述：现状与未来展望。
J Med Internet Res. 2022 Jul 12;24(7):e36490. doi: 10.2196/36490.
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Artificial intelligence in peripheral blood films: an evolving landscape.外周血涂片检查中的人工智能：不断演变的局面
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The future of research in hematology: Integration of conventional studies with real-world data and artificial intelligence.
血液学研究的未来：将常规研究与真实世界数据和人工智能相结合。
Blood Rev. 2022 Jul;54:100914. doi: 10.1016/j.blre.2021.100914. Epub 2021 Dec 18.
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Machine learning and artificial intelligence in haematology.机器学习和血液学中的人工智能。
Br J Haematol. 2021 Jan;192(2):239-250. doi: 10.1111/bjh.16915. Epub 2020 Jun 30.
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Artificial Intelligence and Digital Microscopy Applications in Diagnostic Hematopathology.人工智能与数字显微镜在血液病理学诊断中的应用
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Int J Lab Hematol. 2019 Aug;41(4):437-447. doi: 10.1111/ijlh.13042. Epub 2019 May 2.
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Pilot Study on the Performance of a New System for Image Based Analysis of Peripheral Blood Smears on Normal Samples.基于图像的正常样本外周血涂片分析新系统性能的初步研究。
Indian J Hematol Blood Transfus. 2018 Jan;34(1):125-131. doi: 10.1007/s12288-017-0835-7. Epub 2017 May 26.
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