AIMC Topic: Physicians
Clear Filters Showing 201 to 210 of 295 articles
Physician Confidence in Artificial Intelligence: An Online Mobile Survey.
Journal of medical Internet research
Mar 25, 2019
BACKGROUND: It is expected that artificial intelligence (AI) will be used extensively in the medical field in the future.
Using artificial intelligence to assess clinicians' communication skills.
BMJ (Clinical research ed.)
Jan 18, 2019
High-performance medicine: the convergence of human and artificial intelligence.
Nature medicine
Jan 7, 2019
The use of artificial intelligence, and the deep-learning subtype in particular, has been enabled by the use of labeled big data, along with markedly enhanced computing power and cloud storage, across all sectors. In medicine, this is beginning to ha...
Embracing simplexity: the role of artificial intelligence in peri-procedural medical safety.
Expert review of medical devices
Jan 3, 2019
Disease vocabulary size as a surrogate marker for physicians' disease knowledge volume.
PloS one
Dec 27, 2018
OBJECTIVE: Recognizing what physicians know and do not know about a particular disease is one of the keys to designing clinical decision support systems, since these systems can fulfill complementary role by recognizing this boundary. To our knowledg...
Embracing artificial intelligence is the only way to avoid obsolescence.
BMJ (Clinical research ed.)
Dec 19, 2018
Deep Learning in Cardiology.
IEEE reviews in biomedical engineering
Dec 10, 2018
The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data. Deep lear...
Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Poor electronic medical record (EMR) usability is detrimental to both clinicians and patients. A better EMR would provide concise, context sensitive patient data, but doing so entails the difficult task of knowing which data are relevant. To determin...
Automatic Classification of Online Doctor Reviews: Evaluation of Text Classifier Algorithms.
Journal of medical Internet research
Nov 12, 2018
BACKGROUND: An increasing number of doctor reviews are being generated by patients on the internet. These reviews address a diverse set of topics (features), including wait time, office staff, doctor's skills, and bedside manners. Most previous work ...
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