Journal
BIOMEDICINE-TAIWAN
Volume 10, Issue 3, Pages 5-17Publisher
DIGITAL COMMONS BEPRESS
DOI: 10.37796/2211-8039.1012
Keywords
Artificial intelligence; Artificial neural network; Breast cancer; Gastric cancer; Lung cancer
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Funding
- Vellore Institute of Technology
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Artificial intelligence has illustrated drastic changes in radiology and medical imaging techniques which in turn led to tremendous changes in screening patterns. In particular, advancements in these techniques led to the development of computer aided detection (CAD) strategy. These approaches provided highly accurate diagnostic reports which served as a second-opinion to the radiologists. However, with significant advancements in artificial intelligence strategy, the diagnostic and classifying capabilities of CAD system are meeting the levels of radiologists and clinicians. Thus, it shifts the CAD system from second opinion approach to a high utility tool. This article reviews the strategies and algorithms developed using artificial intelligence for the foremost cancer diagnosis and classification which overcomes the challenges in the traditional method. In addition, the possible direction of AI in medical aspects is also discussed in this study.
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