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Q-Learning: Theory and Applications

Annual Review of Statistics and Its Application, 2020
Q-learning, originally an incremental algorithm for estimating an optimal decision strategy in an infinite-horizon decision problem, now refers to a general class of reinforcement learning methods widely used in statistics and artificial intelligence. In
Jesse Clifton, Eric B. Laber
semanticscholar   +1 more source

A Comprehensive Survey of Foundation Models in Medicine

IEEE Reviews in Biomedical Engineering
Foundation models (FMs) are large-scale deeplearning models that are developed using large datasets and self-supervised learning methods. These models serve as a base for different downstream tasks, including healthcare.
Wasif Khan   +5 more
semanticscholar   +1 more source

A Guide to Convolutional Neural Networks for Computer Vision

Synthesis Lectures on Computer Vision, 2018
Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surveillance and monitoring, health and medicine, sports and recreation, robotics, drones, and self-driving ...
Salman Hameed Khan   +3 more
semanticscholar   +1 more source

The Computer in Medicine

JAMA, 1985
THE COMPUTER now plays a key role in many functions in society. It is an important instrument in modern medicine, but its application to day-to-day medical practice has had limited success. The modern physician acts in varying degrees as clinician, clinical investigator, and teacher, and often has clinical administrative responsibilities as well. These
openaire   +2 more sources

Computational modeling for addiction medicine: From cognitive models to clinical applications.

Progress in brain research, 2016
Decision-making tasks that have good ecological validity, such as simulated gambling tasks, are complex, and performance on these tasks represents a synthesis of several different underlying psychological processes, such as learning from experience, and motivational processes such as sensitivity to reward and punishment. Cognitive models can be used to
Ahn, W.   +4 more
openaire   +2 more sources

Development and Application of Traditional Chinese Medicine Using AI Machine Learning and Deep Learning Strategies.

The American Journal of Chinese Medicine
Traditional Chinese medicine (TCM) has been used for thousands of years and has been proven to be effective at treating many complicated illnesses with minimal side effects.
Danping Pan   +3 more
semanticscholar   +1 more source

Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey

ICT express
Artificial Intelligence (XAI) has found numerous applications in computer vision. While image classification-based explainability techniques have garnered significant attention, their counterparts in semantic segmentation have been relatively neglected ...
Rokas Gipiškis   +2 more
semanticscholar   +1 more source

NASA high performance computing, communications, image processing, and data visualization-potential applications to medicine

Journal of Medical Systems, 1995
High-speed information processing technologies being developed and applied by the Jet Propulsion Laboratory for NASA and Department of Defense mission needs have potential dual-uses in telemedicine and other medical applications. Fiber optic ground networks connected with microwave satellite links allow NASA to communicate with its astronauts in Earth ...
openaire   +2 more sources

The Relevance of Computer-Aided-Diagnosis Systems in Microscopy Applications to Medicine and Biology

2008
In this article, we discuss the use of computerbased systems in microscopy, focusing on cytological images. We initially present recent results on image segmentation, and then we argue that it makes sense moving from a structural approach to a semantic interpretation of micrographs.
Paolo Soda, Giulio Iannello
openaire   +1 more source

Computer-aided information system to support direct patient care. The application of a hand-held data collector in a department of medicine

International Journal of Bio-Medical Computing, 1987
In the pilot study, described herein, we have tried to develop a computerized system to assist and improve medical and nursing care. Our major goal was to bring the computer to the patient's bedside. This was achieved by a Hand-Held Data Collector, which is easy to carry and operate, and has a big enough memory.
Y, Levo   +3 more
openaire   +2 more sources

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