Washington University in St. Louis is set to become the second institution with a doctoral program dedicated to imaging science, with its inaugural class beginning in the fall. Mark Anastasio, PhD, the director of the new program, spoke with Health Imaging about the state of imaging education and incorporating artificial intelligence (AI) into its curriculum.

Co-founders of NIRAMAI, an artificial intelligence (AI) imaging tech startup, Geetha Manjunatha, CEO, and Nidhi Mathur, COO, developed non-invasive methods for breast cancer screening, according to a recent article published by Analytics India Magazine.

While radiologists grapple with the future of artificial intelligence (AI), consumers report liking AI’s convenience, time savings and personalized insights, according to a recent Accenture consumer survey on digital health.

TeraRecon, Ambra Health and EnvoyAI announced a new collaboration March 6 to create an artificial intelligence (AI)-enhanced image exchange workflow for healthcare providers, according to a recent press release.

The hype around artificial intelligence (AI) in medical imaging has led to plenty of discussions of its impact in clinical and academic spaces. To explore current and future implementations of AI in medical imaging at academic institutions, Health Imaging spoke with Curtis Langlotz, MD, PhD, and Stanford University’s Medical Informatics Director for Radiology.

The Silicon Valley-based company Cellularity and Human Longevity is offering a service that may help humans live longer, according to a recent article by Business Insider, U.K.  

Maryellen Giger, PhD, and professor of radiology at the University of Chicago discusses what must occur for machine learning to succeed in health imaging and what clinicians and patients should expect in the future from the synergy of medical imaging and artificial intelligence.

There’s been plenty of talk in medical imaging spaces about artificial intelligence (AI)—and its potential to upend diagnosis, treatment and overall care. A recent study talked to 81 healthcare organizations about early usage of AI and plans for the future.

Researchers at University of California, San Diego (UCSD) have developed an artificial intelligence (AI) system that may improve how potentially blinding eye diseases are diagnosed through scanning retinal images, according to a recent article by The San Diego Union-Tribune.  

Machine learning and artificial intelligence (AI) are two hotly discussed topics in healthcare, but radiologists tend to fear a future where computers replace people. But that fear may be unwarranted, according to one expert.

According to survey results recently published online in the Journal of the American College of Radiology, more than one-third of radiologists lack exposure to artificial intelligence (AI) educational material and resources. Additionally, most trainees' desire to learn about or pursue diagnostic radiology is hindered by AI's role in medicine.

A University of Saskatchewan team has created a deep learning technique that demonstrated enhanced de-noising capabilities in low-dose CT (LDCT) imaging, resulting in little resolution loss and better performance, according to a study published in the Journal of Digital Imaging.