Artificial Intelligence in pathology: current applications, limitations, and future directions

被引：4

作者：

Sajithkumar, Akhil ^{[1
]}

Thomas, Jubin ^{[1
]}

Saji, Ajish Meprathumalil ^{[1
]}

Ali, Fousiya ^{[1
]}

Hasin, E. K. Haneena ^{[1
]}

Adampulan, Hannan Abdul Gafoor ^{[1
]}

Sarathchand, Swathy ^{[2
]}

机构：

[1] Malabar Dent Coll & Res Ctr, Dept Oral Pathol & Microbiol, Manoor Chekanoor Rd,Mudur PO, Edappal 679578, India

[2] Sree Narayana Inst Med Sci, Chalakka Kuthiathode Rd, Kunnukara 683594, Kerala, India

来源：

IRISH JOURNAL OF MEDICAL SCIENCE | 2024年 / 193卷 / 02期

关键词：

AI; Deep learning; Early diagnosis; Machine learning; Pathologist workflow; DIGITAL PATHOLOGY; COMPUTATIONAL PATHOLOGY;

D O I：

10.1007/s11845-023-03479-3

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

PurposeGiven AI's recent success in computer vision applications, majority of pathologists anticipate that it will be able to assist them with a variety of digital pathology activities. Massive improvements in deep learning have enabled a synergy between Artificial Intelligence (AI) and deep learning, enabling image-based diagnosis against the backdrop of digital pathology. AI-based solutions are being developed to eliminate errors and save pathologists time.AimsIn this paper, we will discuss the components that went into the use of Artificial Intelligence in Pathology, its use in the medical profession, the obstacles and constraints that it encounters, and the future possibilities of AI in the medical field.ConclusionsBased on these factors, we elaborate upon the use of AI in medical pathology and provide future recommendations for its successful implementation in this field.

引用

页码：1117 / 1121

页数：5

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