Clinical applications of artificial intelligence and machine learning‐based methods in inflammatory bowel disease
| العنوان: | Clinical applications of artificial intelligence and machine learning‐based methods in inflammatory bowel disease |
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| المؤلفون: | Akbar K. Waljee, Sameer Berry, Ryan W. Stidham, Shirley Cohen-Mekelburg, Ji Zhu |
| المصدر: | J Gastroenterol Hepatol |
| بيانات النشر: | Wiley, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | medicine.medical_specialty, Hepatology, Human intelligence, business.industry, Gastroenterology, Inflammatory Bowel Diseases, medicine.disease, Inflammatory bowel disease, Article, digestive system diseases, Machine Learning, 03 medical and health sciences, Treatment Outcome, 0302 clinical medicine, Healthcare delivery, 030220 oncology & carcinogenesis, medicine, Humans, 030211 gastroenterology & hepatology, Applications of artificial intelligence, Quality of care, Intensive care medicine, business, Delivery of Health Care, Quality of Health Care |
| الوصف: | Our objective was to review and exemplify how selected applications of artificial intelligence (AI) might facilitate and improve inflammatory bowel disease (IBD) care and to identify gaps for future work in this field. IBD is highly complex and associated with significant variation in care and outcomes. The application of AI to IBD has the potential to reduce variation in healthcare delivery and improve quality of care. AI refers to the ability of machines to mimic human intelligence. The range of AI’s ability to perform tasks that would normally require human intelligence varies from prediction to complex decision-making that more closely resembles human thought. Clinical applications of AI have been applied to study pathogenesis, diagnosis, and patient prognosis in IBD. Despite these advancements, AI in IBD is in its early development and has tremendous potential to transform future care. |
| تدمد: | 1440-1746 0815-9319 |
| DOI: | 10.1111/jgh.15405 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bba5b8fed75fa996434b1c40b74e82e1 https://doi.org/10.1111/jgh.15405 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....bba5b8fed75fa996434b1c40b74e82e1 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14401746 08159319 |
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| DOI: | 10.1111/jgh.15405 |