AI Article Synopsis
- AI's success in computer vision is leading pathologists to expect assistance in digital pathology tasks, leveraging deep learning for improved accuracy in image-based diagnoses.
- The paper explores the essential elements of AI in pathology, including its applications in medicine, the challenges it faces, and potential future developments in the field.
- Recommendations for effectively integrating AI into medical pathology are provided, emphasizing its potential to reduce errors and increase efficiency for pathologists.
Article Abstract
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.
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| http://dx.doi.org/10.1007/s11845-023-03479-3 | DOI Listing |
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