Imaging

Dr. Gerald Lip of the U.K.'s NHS Grampian says that using AI algorithms has allowed a shrinking pool of radiologists to work more efficiently and provide test results in three days, instead of two weeks.

This comes as the government outlined a four-year national medical AI research and development roadmap.

As new artificial intelligence tools are introduced, the greater efficiency and accuracy achieved using AI will increasingly justify the costs and effort to take on digital pathology practice, says Dr. David Klimstra, cofounder of Paige.

At Omaha-based CHI Health, a hybrid cloud platform supported stroke patient care after the worldwide IT disruption knocked out its electronic health records, says one neurologist who recounts the experience.

Also: PatientPay partners to reduce rev cycle friction, two radiology IT rivals join forces and Check Point acquires an AI-powered risk management company.

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.

Pillbot allows gastroenterologists to examine a patient's stomach virtually through a drone the patient swallows, says Torrey Smith, cofounder and CEO of Endiatx, which develops the technology.

Offered in partnership with Novo Nordisk Foundation, the fellowship will focus on technologies that analyze vast amounts of data to increase diagnostic accuracy, speed personalized medicine and improve clinical trials.

Jayden Jung, head of business development at AIRS Medical, discusses SwiftMR, the company's AI-powered product that shortens MRI scan times by an average of 40% without sacrificing image quality so hospitals can scan 30% more patients.