AI

QuantHealth helps pharma implement artificial intelligence for drug development using clinical trial simulation. Orr Inbar, its cofounder and CEO, discusses that — and the long-term effects of AI on drug development.

The Advanced Research Projects Agency for Health says new funding to advance capabilities that detect and auto-correct misalignments with training data could help users of medical devices integrated with artificial intelligence ensure peak performance.

Also: Pfizer says it is partnering with healthcare organizations to develop a new digital health platform that provides access to same-day care, prescriptions and vaccines for COVID-19 or the flu.

Healthcare leaders must demand ethical artificial intelligence and ensure their RFPs list requirements for safeguards, says Sarah M. Worthy of DoorSpace. This will take time, which would mean pulling back from investing in the majority of AI tools.

The toolkit aims to help countries examine their readiness to implement artificial intelligence into their public health sector equitably and effectively.

A new private WMware cloud aims to address healthcare's data proliferation while Sanford Health taps Infor for modernization and Qventus launches perioperative artificial intelligence to enhance OR efficiencies.

Larry Adams, RN, a consultant aiding nurse leaders in improving operational efficiencies, shows how artificial intelligence can help combat the nursing shortage – and aid with retention, as well.

The health system has invested in automating documentation, but AI chief tells WSJ he's not comfortable using AI for clinical decision-making.

Advancements in machine learning are enhancing new large language models' ability to undergo continuous learning and generalize to areas in which the model has not been trained – a transformative next step for AI in imaging.