Artificial Intelligence

The European Society of Radiology (ESR) and GE Healthcare have announced a new partnership focused on artificial intelligence (AI) for the European Congress of Radiology (ECR) 2019 in Vienna, Austria. 

An artificial intelligence (AI) algorithm can effectively help radiologists interpret chest x-rays, according to new research published in PLOS ONE. However, limitations persist that make it seem unlikely such an algorithm could actually replace a radiologist altogether.

Kheiron Medical Technologies (Kheiron) has received CE certification for its new artificial intelligence (AI)-based breast screening software, making it the first U.K. company to receive such a designation for deep learning software in radiology.

Researchers have developed a deep learning-based automatic detection algorithm (DLAD) that can detect malignant pulmonary nodules on chest x-rays better than physicians, sharing their findings in a new study published by Radiology.

Qure.ai, a San Mateo, California-based healthcare startup focused on artificial intelligence (AI), has released the results of a thorough validation study confirming the accuracy of its deep learning chest x-ray algorithm. The study involved 1.2 million x-rays and their corresponding radiology reports.

Using artificial intelligence, researchers at the NYU School of Medicine can correctly distinguish between two different types of lung tumors—adenocarcinoma and squamous cell carcinoma—with 97 percent accuracy.

A small group of experienced radiologists, connected by machine learning algorithms that enable them to work together as a “hive mind,” can achieve higher diagnostic accuracy than individual radiologists or machine learning algorithms alone, according to new research presented on Sept. 10 at the Society for Medical Imaging Informatics in Medicine (SIIM)’s Machine Intelligence in Medical Imaging conference.

A deep convolutional neural network (DCNN) can be trained to analyze MRI scans and differentiate between tuberculous spondylitis and pyogenic spondylitis, according to a new study published in Scientific Reports.

Toronto-based Exact Imaging and Cambridge, U.K.-based Cambridge Consultants have announced a new international partnership focused on improving the way specialists visualize and detect prostate cancer.

The creators of a fully automated medical image analysis program to detect breast tumors was inspired by the classic video game Tetris. It is also almost twice as fast at finding lesions as existing techniques and just as accurate.

A deep learning system (DLS) designed to assess liver fibrosis using CT images was found to be highly accurate, according to a new study published in Radiology.

The NYU School of Medicine’s department of radiology and Facebook recently announced a new collaborative research project focused on using artificial intelligence (AI) to make MRI scans up to 10 times faster.