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Integration of Artificial Intelligence: While AI offers significant potential to enhance diagnostic accuracy and efficiency in imaging, its integration into clinical workflows is fraught with challenges. These include the need for high-quality, annotated datasets for training AI models, the risk of algorithmic bias, and the black-box nature of ...
A pioneer in the use of artificial intelligence in healthcare was American biomedical informatician Edward H. Shortliffe. This field deals with utilization of machine-learning algorithms and artificial intelligence, to emulate human cognition in the analysis, interpretation, and comprehension of complicated medical and healthcare data.
Download as PDF; Printable version; In other projects ... Arthroscopy (journal) Artificial Intelligence (journal) ... Clinical Microbiology and Infection; Clinical ...
Artificial intelligence in pharmacy is the application of artificial intelligence (AI) [118] [119] [120] to the discovery, development, and the treatment of patients with medications. [121] AI in pharmacy practices has the potential to revolutionize all aspects of pharmaceutical research as well as to improve the clinical application of ...
At this time, research in artificial intelligence was using network models of the human brain in order to generate new algorithms. This use of biological data pushed biological researchers to use computers to evaluate and compare large data sets in their own field. [3] By 1982, researchers shared information via punch cards. The amount of data ...
MYCIN was an early backward chaining expert system that used artificial intelligence to identify bacteria causing severe infections, such as bacteremia and meningitis, and to recommend antibiotics, with the dosage adjusted for patient's body weight — the name derived from the antibiotics themselves, as many antibiotics have the suffix "-mycin".
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clinical image analysis and visualization; determining the real-time air-flow patterns in breathing lungs of living animals; quantifying occlusion size in real-time imagery from the development of and recovery during arterial injury; making behavioral observations from extended video recordings of laboratory animals