Artificial Intelligence

A team of Stony Brook University-led researchers in New York created a method using deep learning digital pathology to map cancerous immune cell patters that may help guide new cancer therapies.

Ohio State University researchers have developed an artificial intelligence (AI) algorithm able to analyze a single brain CT scan in just six seconds, according to an article published online March 28 by the Lantern.

Eight members of the Association of University Radiologists Radiology Research Alliance Task Force on Deep Learning describe a radiologist-friendly overview examining past, present and future applications and how the field might benefit from embracing deep learning.

New artificial intelligence research from Google, presented at MIT Technology Review's EmTech Digital 2018 conference in San Francisco, may point to reducing the number of radiologist-annotated images required to train a deep learning algorithm for medical imaging applications.

A group of U.S. researchers created a natural language processing (NLP) system which outperformed traditional rule-based methods in identifying lumbar spine findings, according to a study published online in Academic Radiology.

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.