This article discusses the importance of clinical prediction modeling in providing diagnostic and prognostic information for risk stratification and decision-making in postoperative care. It…
Browsing: Risk Stratification
A Northeastern graduate is working on a risk stratification tool for preeclampsia, called AI_PREMie, that utilizes machine learning algorithms to predict and monitor the…
This study examined the potential of a deep learning (DL) model in detecting precancerous changes in women at high risk for breast cancer. The…
We developed and externally validated PABLO, a pretrained, longitudinal deep learning model for the prediction of NAT. This is the largest study of NAT…
This study describes the first multi-site, prospective, observational cohort study to evaluate the diagnostic accuracy of machine learning for the ECG diagnosis and risk…
Artificial Intelligence (AI) is rapidly advancing and has made its way into the doctor’s office, with the potential to revolutionize the health care system.…