Application of Artificial Intelligence to Clinical Practice in Inflammatory Bowel Disease - What the Clinician Needs to Know.
David ChenClifton FulmerIlyssa O GordonSana SyedRyan W StidhamNiels Vande CasteeleYi QinKatherine FalloonBenjamin L CohenRobert WyllieFlorian RiederPublished in: Journal of Crohn's & colitis (2021)
Artificial intelligence (AI) techniques are quickly spreading across medicine as an analytical method to tackle challenging clinical questions. What were previously thought of as highly complex data sources, such as images or free text, are now becoming manageable. Novel analytical methods merge the latest developments in information technology infrastructure with advances in computer science. Once primarily associated with Silicon Valley, AI techniques are now making their way into medicine, including in the field of inflammatory bowel diseases (IBD). Understanding potential applications and limitations of these techniques can be difficult, in particular for busy clinicians. In this article, we explain the basic terminologies and provide particular focus on the foundations behind state-of-the-art AI methodologies in both imaging and text. We explore the growing applications of AI in medicine, with a specific focus on IBD to inform the practicing gastroenterologist and IBD specialist. Finally, we outline possible future uses of these technologies in daily clinical practice.
Keyphrases
- artificial intelligence
- deep learning
- big data
- clinical practice
- machine learning
- palliative care
- convolutional neural network
- ulcerative colitis
- public health
- smoking cessation
- electronic health record
- physical activity
- drinking water
- high resolution
- optical coherence tomography
- liquid chromatography
- mass spectrometry
- current status
- risk assessment
- fluorescence imaging
- social media