Imaging

The model has demonstrated high accuracy in identifying causes and predicting the progression of brain and spinal cord infections.

With VNAs, universal viewers and patient portals, the Cleveland health system is enabling easier sharing of images with the providers and patients who need them, says Dr. David Kaelber, chief health informatics officer at MetroHealth.

The AI, trained on around 13,000 fundus images from over 600 Alzheimer's patients, has demonstrated up to 92% accuracy. 

The physician and software engineer will hold dual titles as Assistant Secretary for Technology Policy and National Coordinator for Health Information Technology.

Less than a week after a cyberattack caused the Ohio-based health system to shut down some of its care offerings, cancer patients again have access to radiotherapy treatments.

The diagnostic service is powered by AI that has received regulatory approvals in Taiwan and the United States. 

"These are real lives, potentially extended or saved because an AI system surfaced the right data at the right time, and our teams were equipped to act on it," says the health system's COO. And the tech has helped boost the case closure rate by 50%.

Cardiac-focused caption guidance technology, which directs an ultrasound technician on where to place a probe to get the best image, is proving its worth, says Vaishali Kamat, GE HealthCare's GM of new ventures for ultrasound digital solutions.

Healthcare providers face significant challenges in pathology. By enabling more efficient, collaborative workflows, digital pathology solutions can help them transition from legacy analogue processes and address the shortage of trained pathologists.

The radiologist shortage and increasing imaging demand are two intertwined challenges that can benefit from large language models. Penn Medicine is showing how.