… We hence exclude studies that discussed the development and validation of clinical AI
algorithms without actual implementation. Finally, we report a wide range of evaluation outcomes …

… Retson and colleagues [24] developed a deep learning algorithm for the clinical
measurements of the right and left ventricular volumes and functions. MRI images for various …

… of an artificial intelligence algorithm (the Hypotension Prediction Index), one of the first
machine learning predictive algorithms used in the operating room environment. The algorithm …

… algorithms using a variety of artificial neural network configurations to solve complex problems.
Modern artificial neural … one of the most active areas of artificial intelligence (AI) research. …

… expertise: several studies are now approaching the interaction between clinicians and
algorithms (47) as the combination of human and artificial intelligence outperforms either alone. …

… real world deployments of machine learning algorithms in clinical practice are rare. Despite
… variation in clinical practice, improve efficiency and prevent avoidable medical errors that will …

… The development and application of artificial intelligence (AI) in medicine continue to evolve.
Numerous algorithms have received approval as medical devices by regulatory authorities, …

… use of artificial intelligence algorithms in clinical practice. Studies in diabetic retinopathy
screening using artificial intelligence (… have demonstrated artificial intelligence model usage can …

… Artificial intelligence (AI) is … intelligent beings. The objective of this study was to analyze
current views regarding attempts to apply artificial intelligence techniques in everyday practice, …

… The computational algorithm has been used in few clinical settings where pre-operational
comprehensive risk score was calculated by artificial neural network (ANN) based upon digital …