AI

The aim is to develop a new methodology for assessing the way digital providers manage personal health data safely.

Machine learning is transforming imaging, decision support, clinical workflow and physician-patient interaction, says Dr. Anthony Chang, chief intelligence and innovation officer at Children's Hospital of Orange County.

Healthcare providers face mounting pressure to reduce clinician burnout, improve efficiency and increase patient satisfaction. To achieve this, they need easy access to data that can be aggregated, consolidated and provide insight into clinical and operational decisions.

The AI company will use the license to implement a quantitative method for the analysis of chest CT scans.

The £40 million system is intended to enable researchers to tackle the most pressing medical challenges.

Friedrich Lämmel, founder and CEO of Thryve, discusses how extracting high-quality data can help improve patient outcomes by providing personalized treatments more efficiently via digital solutions.

Dr. Ceri Thompson, deputy head of the eHealth, Wellbeing and Ageing unit at the European Commission, discusses why health data systems must be based on infrastructure and mechanisms that people can trust.

Valo Health’s Opal Computational Platform uses machine learning, cloud computing and real-world data to assist in the drug discovery and development process.

The joint UK-US scientific research team will use AI and machine learning to predict and detect heart failure.

Amy Trainor, VP of IS clinical systems at Ochsner Health, discusses how, in the midst of the crisis, the healthcare provider organized, formatted and shared data for a "never again" scenario.