Bibliographic Details
| Title: |
Artificial Intelligence in Pathology. |
| Authors: |
Ali, Razana Mohd1, Vidyadaran, Sharmili1, Zakariah, Siti Zulaikha2, I., Lai Mei1, Sham, Siti Yazmin Zahari1 |
| Source: |
Malaysian Journal of Medicine & Health Sciences. 2023 Supplement, Vol. 19, p1-2. 2p. |
| Subject Terms: |
*ARTIFICIAL intelligence, *PATHOLOGY, *PATTERN recognition systems, *MACHINE learning |
| Abstract: |
The article discusses the use of artificial intelligence (AI) in the field of pathology. It highlights the potential of AI in improving disease diagnosis and innovation in laboratory medicine. The article mentions that AI can assist pathologists in tasks such as tumor grading, cancer detection, and immunohistochemistry biomarker counting. However, it also acknowledges the challenges and concerns associated with AI, including algorithmic bias and potential misdiagnoses. The article emphasizes the need for guidelines and regulatory steps to ensure the successful integration of AI into pathology. [Extracted from the article] |
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| Database: |
Academic Search Complete |
