The role of Artificial Intelligence in clinical trials
Artificial Intelligence (AI) has the potential to improve the clinical trial processes that drugs go through before they can be marketed and enter
Artificial Intelligence (AI) has the potential to improve the clinical trial processes that drugs go through before they can be marketed and enter
Researchers at the Johns Hopkins University School of Medicine implemented a machine learning system to optimize hospital admission decisions by
The Department of Computational Biomedicine at Cedars-Sinai developed an Artificial Intelligence (AI) model to help physicians predict surgical outcomes
Recent research has shown how technologies powered by Artificial Intelligence (AI) have made significant progress in the diagnosis of psychological disorders. various models
Study published in JAMA Cardiology incorporated social determinants of health into a machine learning model to predict the risk of heart failure and mortality
Precision medicine combines various technologies to guide healthcare professionals to make better clinical decisions. Omics technologies emerged
Mayo Clinic researchers developed a machine learning model to differentiate patients with acute cholangitis and hepatitis associated with alcoholism. A study presented
Risk scores are used to make more informed clinical decisions, and the implementation of machine learning is useful for the identification of
A new study published in Nature Communications used multimodal deep learning to assess dementia stemming from Alzheimer's disease. Annually 10 million
A recent study shows the evaluation of an Artificial Intelligence model capable of predicting different clinical risks in different hospitals in real time. Recently the