Artificial Intelligence

Jensen Huang, CEO of Nvidia, a California-based technology company, recently revealed plans to construct a medical imaging supercomputer affectionately named Clara.

As deep learning in medical imaging continues to advance, two leading experts argue in an editorial in the Harvard Business Review that it will only result in positive impacts on the field—rather than replace imaging professionals with computers.

A recent study published in Radiology has demonstrated that deep-learning bone age assessment models analyzing hand radiographs produced results as accurate as a radiologist.

Researchers from Massachusetts General Hospital (MGH) have developed a machine learning and artificial intelligence (AI)-based technique that may generate higher quality images without having to collect additional data.

Artificial Intelligence (AI) is perhaps the hottest topic across healthcare right now—especially in radiology. A recent Forbes article suggests the profession may be in a good spot to embrace the coming change.

A group of Chinese scientists and clinicians developed a learning artificial intelligence (AI) platform able to diagnose prostate cancer with the same accuracy as a human pathologist, according to a European Association of Urology press release.

Robert Pearl, MD, from Stanford University shared his thoughts about the gradual permeation of artificial intelligence (AI) into the culture and business of medicine in a recent editorial in Forbes. 

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.