The Convergence of Human and Artificial Intelligence on Clinical Care - Part I 

<br/><br/><br/>English[eng] 
<br/><br/><label>ISBN: </label>9783040000000 
<br/><br/><label>Subjects--Topical Terms: </label><br/>machine learning-enabled decision support system||improving diagnosis accuracy||Bayesian network||bariatric surgery||health-related quality of life||comorbidity||voice change||larynx cancer||machine learning||deep learning||voice pathology classification||imputation||electronic health records||EHR||laboratory measures||medical informatics||inflammatory bowel disease||C. difficile infection||osteoarthritis||complex diseases||healthcare||artificial intelligence||interpretable machine learning||explainable machine learning||septic shock||clinical decision support system||electronic health record||cerebrovascular disorders||stroke||SARS-CoV-2||COVID-19||cluster analysis||risk factors||ischemic stroke||outcome prediction||recurrent stroke||cardiac ultrasound||echocardiography||portable ultrasound||aneurysm surgery||temporary artery occlusion||clipping time||artificial neural network||digital imaging||monocytes||promonocytes and monoblasts||chronic myelomonocytic leukemia (CMML) and acute myeloid leukemia (AML) for acute monoblastic leukemia and acute monocytic leukemia||concordance between hematopathologists||mechanical ventilation||respiratory failure||ADHD||social media||Twitter||pharmacotherapy||stimulants||alpha-2-adrenergic agonists||non-stimulants||trust||passive adherence||human factors