Artificial Intelligence

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.

The Radiological Society of North America (RSNA) announced the launch of its second annual machine learning challenge on Monday, Aug. 27. Teams will be invited to develop algorithms to identify and localize pneumonia in chest x-rays.

Researchers at the University of Central Florida’s Center for Research in Computer Vision have created an artificial intelligence (AI) algorithm that can detect specks of lung cancer in CT scans with 95 percent accuracy.

Facebook and the department of radiology at NYU School of Medicine in New York City have announced a new collaboration that will focus on using artificial intelligence (AI) to make MRI scans up to 10 times faster.

Intel and Philips announced that they have joined forces to work on artificial intelligence (AI) by using Intel’s Xeon Scalable processors and OpenVINO toolkit to test two use cases for deep learning inference models.

Computer-aided diagnosis (CAD) powered by artificial intelligence can accurately assess diminutive colorectal polyps, according to a new study published in Annals of Internal Medicine. But is the CAD’s performance level high enough that specialists can follow the recommended “diagnose-and leave” strategy for diminutive polyps?

The American College of Radiology’s Harvey L. Neiman Health Policy Institute and Georgia Institute of Technology in Atlanta have announced a new partnership focused on applying analytics and artificial intelligence (AI) to large medical claims databases.

Researchers have developed an artificial intelligence (AI) platform that can detect acute neurologic events in CT images in just 1.2 seconds, according to a new study published in Nature Medicine.

A machine-learning algorithm that uses a technique known as reinforced learning can dramatically cut toxic chemotherapy and radiotherapy by optimizing treatment plans and drug dosages for glioblastoma patients, according to research out of the Massachusetts Institute of Technology.

iCAD announced that its PowerLook Density Assessment 3.4 solution has gained FDA clearance. The software, compatible with iCAD’s digital breast tomosynthesis solutions, uses artificial intelligence to assess patients’ breast density.

Aidoc, a Tel-Aviv, Israel-based medical imaging company, announced Wednesday, August 8, that it has gained FDA clearance for its brain solution that helps radiologists flag acute intracranial hemorrhage (ICH) cases using artificial intelligence (AI).

Researchers from South Korea have used artificial intelligence (AI) to successfully identify tumors in histology images obtained from colorectal cancer (CRC) patients, sharing their findings in the Journal of Digital Imaging.