machine learning

The solution uses AI and machine learning to improve adherence.

Dr. Elizabeth Marshall, director of clinical analytics at Linguamatics, shares how machine learning can help flag troubling patterns and improve systems moving forward.

The new wellness features use machine learning to observe subtle changes in chest movement or blood coloration, and are slated to drop for Pixel device users in the next month.

DrFirst President Cameron Deemer explains how ML applications can improve safety and efficiency – automating medication history in hospital EHRs and aggregating patient records in consumer apps.

Jonathan Weiner, professor at Johns Hopkins Bloomberg School of Public Health, discusses some of the data fundamentals that are essential for effective artificial intelligence and machine learning algorithms.

Sibu Siddique, VP of Digital Transformation and Customer Success at GE Digital, says tools such as artificial intelligence and machine learning will support patient mobility, and associated data, in the future.

Now available in public preview, the offerings are designed to help organizations and individuals pull clinically-relevant insights from large volumes of free text housed in medical records.

The data analytics platform extracts patient data from physician notes, medical charts, and other documents and translates the information into clinical and administrative guidance.

Researchers say that their tool detected cases with 79% accuracy, and did so within minutes.

The yet-to-be-named programme reportedly “leverages machine learning to optimise a clinical trial’s chances of success” through the analysis of factors such as patient population recruitment and dropout rate.