Abstract
Artificial intelligence (AI) is coming to medicine in a big wave. From making diagnosis in various medical conditions, following the latest advancements in scientific literature, suggesting appropriate therapies, to predicting prognosis and outcome of diseases and conditions, AI is offering unprecedented possibilities to improve care for patients. Gastroenterology is a field that AI can make a significant impact. This is partly because the diagnosis of gastrointestinal conditions relies a lot on image-based investigations and procedures (endoscopy and radiology). AI-assisted image analysis can make accurate assessment and provide more information than conventional analysis. AI integration of genomic, epigenetic, and metagenomic data may offer new classifications of gastrointestinal cancers and suggest optimal personalized treatments. In managing relapsing and remitting diseases such as inflammatory bowel disease, irritable bowel syndrome, and peptic ulcer bleeding, convoluted neural network may formulate models to predict disease outcome, enhancing treatment efficacy. AI and surgical robots can also assist surgeons in conducting gastrointestinal operations. While the advancement and new opportunities are exciting, the responsibility and liability issues of AI-assisted diagnosis and management need much deliberations.
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Joseph JY Sung and Nicholas CH Poon declare that they have no conflict of interest. This manuscript is a commentary article and does not involve a research protocol requiring approval of a relevant institutional review board or ethics committee. The article does not contain any studies with human or animal subjects.
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Sung, J.J., Poon, N.C. Artificial intelligence in gastroenterology: where are we heading?. Front. Med. 14, 511–517 (2020). https://doi.org/10.1007/s11684-020-0742-4
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DOI: https://doi.org/10.1007/s11684-020-0742-4