liver diseas physician

The use of artificial intelligence is rapidly increasing in medicine to support clinical decision making mostly through diagnostic and prediction models. Such models derive from huge databases (big data) including a large variety of health-related individual patient data (input) and the corresponding diagnosis and/or outcome (labels). Various types of algorithms (e.g. neural networks) based on powerful computational ability (machine), allow to detect the relationship between input and labels (learning). More complex algorithms, like recurrent neural network can learn from previous as well as actual input (deep learning) and are used for more complex tasks like imaging analysis and personalized (bespoke) medicine...

SESSION TYPE: Cardiovascular Student/Resident Case Report Posters IPRESENTED ON: Tuesday, October 23, 2012 at 01:30 PM - 02:30 PMINTRODUCTION: This case describes a patient who was initially diagnosed with a cardiomyopathy of unknown etiology. Subsequent testing several years later revealed an underlying celiac disease as the primary etiology.CASE PRESENTATION: A 37 year old male who emigrated to the United States from Albania in 2000 with past medical history significant for mild elevation in liver function studies as well as non-ischemic cardiomyopathy diagnosed in 2006 presented to our internal medicine clinic in 2009 to establish care...