Imaging
Also: New studies find commercial artificial intelligence algorithms developed for breast cancer detection may identify women at high risk of future malignancy – up to six years ahead of occurrence.
The new investment will also promote the wider uptake of medical imaging AI by 2025.
A senior consultant for the Saudi Arabia Ministry of Health has also emphasised incorporating governance from the outset.
POCUS has proven itself a cost-effective diagnostic tool that enhances the physical exam, says one Jefferson Healthcare physician. Money is not wasted on excessive testing and patients avoid the hospital because their disease is recognized quickly.
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.
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.
