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Artificial Intelligence in pathology: current applications, limitations, and future directions
Akhil Sajithkumar1, Jubin Thomas2, Ajish Meprathumalil Saji2
1Department of Oral Pathology and Microbiology, Malabar Dental College and Research Centre, Manoor Chekanoor Road, Mudur PO, Edappal, Malappuram Dist, 679578, India. aksmvpa@gmail.com.
Purpose:
Given 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.
Aims:
In 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.
Conclusions:
Based on these factors, we elaborate upon the use of AI in medical pathology and provide future recommendations for its successful implementation in this field.
