Abstract
Given AI's recent success in computer vision applications, majority of pathologists anticipate that it will be able toassist them with a variety of digital pathology activities. Massive improvements in deep learning have enabled asynergy between Artificial Intelligence (AI) and deep learning, enabling image-based diagnosis against thebackdrop of digital pathology. AI-based solutions are being developed to eliminate errors and save pathologiststime. In this paper, we will discuss the components that went into the use of Artificial Intelligence in Pathology, its use inthe medical profession, the obstacles and constraints that it encounters, and the future possibilities of AI in themedical field. Based on these factors, we elaborate upon the use of AI in medical pathology and provide future recommendationsfor its successful implementation in this field.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.