Imaging
AI & ML Intelligence
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.
AI & ML Intelligence
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.
HIMSS24
AI-powered radiology tools aren't yet ready to make diagnoses; they must return accurate results and save time to be truly useful to burned-out radiologists, says Dr. Benoit Desjardins, University of Pennsylvania radiology professor.
If artificial intelligence can do good for struggling patients and help them avoid crippling medical debt, half of the Americans said they are in.