Researchers at Purdue University in West Lafayette, Indiana, are creating a photoacoustic tomography probe that combines optical and ultrasound techniques to improve diagnosis of common and costly diseases.

Research detailing the first FDA-approved artificial intelligence (AI) system to autonomously detect diabetic retinopathy was published Aug. 28 in Nature Digital Medicine.

Fujifilm Corporation and the Indiana University School of Medicine in Indianapolis have announced a new research agreement that will focus on applying artificial intelligence (AI) to medical imaging diagnostic support systems.

FUJIFILM Corporation entered a joint research agreement with Indiana University School of Medicine (Indianapolis, Indiana USA), a leading advanced medical institute in the United States, to develop the application of artificial intelligence (AI) in medical imaging diagnostic support systems, starting today.

Researchers have created an artificial intelligence (AI) algorithm capable of reading CT scans to predict how patients will respond to a specific immunotherapy, according to a Lancet Oncology study.

“We found no evidence of intracranial gadolinium deposition on brain MR images in patients who had intraarticular gadolinium administered for MR arthrography and no other GBCA exposure,” wrote lead author Lauren Ladd, MD, and a radiologist at the Indiana University School of Medicine.

The Radiological Society of North America (RSNA) kicked off its second annual machine learning challenge on Aug. 27, inviting teams to create an algorithm capable of identifying and localizing pneumonia on chest x-rays.

Researchers from Duke University have created a handheld probe capable of capturing images of photoreceptors in the eyes of infants—potentially aiding early diagnoses of brain-related diseases and trauma.