An Overview of Medical Diagnostics through Artificial Intelligence‐Powered Histopathological Imaging and Video Analysis

Abstract

Histopathological imaging has a substantial impact on the diagnosis and prognosis of many illnesses, including cancer, infectious infections, and autoimmune disorders. The introduction of artificial intelligence (AI) techniques to histological analysis, such as mammography, endoscopy, ultrasound, and MRI, has recently transformed medical diagnostics. The intent of this research is to give the lector with a thorough accepting of the present state of video analysis also AI-assisted histopathological imaging in the context of medical diagnosis. This article demonstrates how deep learning and machine learning algorithms can be used to automate data analysis and activities like segmentation, detection, and classification. The importance of interpretability in medical applications, as well as the usage of artificial intelligence (AI) in medical picture analysis, are also discussed. To obtain the best results, it will be necessary to give clinical decision support, disease diagnostics, and customized treatment strategies. The researchers thoroughly reviewed previous studies on the use of AI-contributed histopathology imaging for the diagnosis and treatment of medical illnesses. Furthermore, we advocate for increased multidisciplinary collaboration and research in this area.

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