AIMC Topic: Clinical Trials as Topic
Clear Filters Showing 141 to 150 of 249 articles
The Missing Pieces of Artificial Intelligence in Medicine.
Trends in pharmacological sciences
Jul 2, 2019
Stakeholders across the entire healthcare chain are looking to incorporate artificial intelligence (AI) into their decision-making process. From early-stage drug discovery to clinical decision support systems, we have seen examples of how AI can impr...
Automated Identification of Optimal Portal Venous Phase Timing with Convolutional Neural Networks.
Academic radiology
May 28, 2019
OBJECTIVES: To develop a deep learning-based algorithm to automatically identify optimal portal venous phase timing (PVP-timing) so that image analysis techniques can be accurately performed on post contrast studies.
Artificial Intelligence for Participatory Health: Applications, Impact, and Future Implications.
Yearbook of medical informatics
Apr 25, 2019
OBJECTIVE: Artificial intelligence (AI) provides people and professionals working in the field of participatory health informatics an opportunity to derive robust insights from a variety of online sources. The objective of this paper is to identify c...
Enhancing WIKISTIM.org Using Machine Learning Approaches.
Neuromodulation : journal of the International Neuromodulation Society
Mar 25, 2019
How artificial intelligence could redefine clinical trials in cardiovascular medicine: lessons learned from oncology.
Personalized medicine
Mar 6, 2019
Clinical intelligence: New machine learning techniques for predicting clinical drug response.
Computers in biology and medicine
Jan 3, 2019
Predicting the response, or sensitivity, of a clinical drug to a specific cancer type is an important research problem. By predicting the clinical drug response correctly, clinicians are able to understand patient-to-patient differences in drug sensi...
Covariance Matrix Adaptation for Multiobjective Multiarmed Bandits.
IEEE transactions on neural networks and learning systems
Dec 28, 2018
Upper confidence bound (UCB) is a successful multiarmed bandit for regret minimization. The covariance matrix adaptation (CMA) for Pareto UCB (CMA-PUCB) algorithm considers stochastic reward vectors with correlated objectives. We upper bound the cumu...
Early access to health products in France: Major advances of the French "Conseil stratégique des industries de santé" (CSIS) to be implemented (modalities, regulations, funding).
Therapie
Dec 13, 2018
In a context of perpetual evolution of treatments, access to therapeutic innovation is a major challenge for patients and the various players involved in the procedures of access to medicines. The revolutions in genomic and personalized medicine, art...
"Artificial intelligence": Which services, which applications, which results and which development today in clinical research? Which impact on the quality of care? Which recommendations?
Therapie
Dec 13, 2018
Artificial intelligence (AI), beyond the concrete applications that have already become part of our daily lives, makes it possible to process numerous and heterogeneous data and knowledge, and to understand potentially complex and abstract rules in a...
Applying Artificial Intelligence to Address the Knowledge Gaps in Cancer Care.
The oncologist
Nov 16, 2018
BACKGROUND: Rapid advances in science challenge the timely adoption of evidence-based care in community settings. To bridge the gap between what is possible and what is practiced, we researched approaches to developing an artificial intelligence (AI)...
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