AI can assess COVID-19 severity on chest x-rays
July 24, 2020 -- An artificial intelligence (AI) algorithm can quantitatively assess the severity of COVID-19 on frontal chest x-rays, offering potential as a clinical triage and workflow optimization tool, according to research published online July 22 in Radiology: Artificial Intelligence.  Discuss
AI reduces missed lung cancers on chest x-ray
July 23, 2020 -- An artificial intelligence (AI) algorithm can help reduce the number of missed lung cancers on chest x-ray, according to a study published July 21 in Radiology. The study results point to AI as an effective way to address the challenging task of spotting subtle suspicious lung lesions.  Discuss
CT textures predict interstitial lung disease survival
July 23, 2020 -- Quantitative analysis of texture patterns on CT exams in interstitial lung disease patients can yield better survival predictions than a radiologist's classification of usual interstitial pneumonia (UIP) versus non-UIP, according to research presented at last week's virtual ECR.  Discuss
ECR 2020: Radiologists, data scientists needed for AI
July 17, 2020 -- Greater involvement by radiologists and more help from data scientists are needed to improve the performance of artificial intelligence (AI) algorithms and expand their use in clinical practice, a leading Spanish expert told ECR Online registrants on Thursday.  Discuss
SNMMI 2020: AI can aid in diagnosis of Parkinson's disease
July 14, 2020 -- An artificial intelligence (AI) algorithm was highly accurate for diagnosing Parkinson's disease on dopamine transporter SPECT exams, according to research presented at the annual meeting of the Society of Nuclear Medicine and Molecular Imaging (SNMMI).  Discuss
Are U.S. medical students avoiding radiology due to AI?
July 9, 2020 -- If results from a survey of medical students in the U.S. are any indication, the misperception that artificial intelligence (AI) will replace radiologists poses by far a bigger threat to the specialty than the technology itself, according to research published online June 27 in Current Problems in Diagnostic Radiology.  Discuss
AI could help radiologists better detect kidney cancer
July 6, 2020 -- Artificial intelligence (AI) used with CT data could help abdominal radiologists better identify and classify kidney cancer, according to a presentation delivered at the recent virtual annual meeting of the Society for Imaging Informatics in Medicine.  Discuss
ACR, RSNA call on FDA to hold off on autonomous AI
July 1, 2020 -- Autonomous artificial intelligence (AI) algorithms aren't close to being safe enough to replace radiologists, and the U.S. Food and Drug Administration (FDA) should hold off for now on developing regulatory pathways for autonomous AI in radiology, according to the American College of Radiology (ACR) and the RSNA.  Discuss
AI algorithm can help in incidental detection of PE
June 30, 2020 -- An artificial intelligence (AI) algorithm can highlight incidental cases of pulmonary embolism (PE) on contrast-enhanced chest CT exams that were performed for reasons other than to detect PE, according to a presentation at the recent online annual conference of the Society for Imaging Informatics in Medicine.  Discuss
SIIM 2020: Human element shouldn't be neglected with AI
June 25, 2020 -- Sure, artificial intelligence (AI) in radiology is cool. But it's not enough to show results in a lab; the technology's real-world impact on efficacy and efficiency also needs to be evaluated, according to a June 25 talk at the virtual annual meeting of the Society for Imaging Informatics in Medicine (SIIM).  Discuss
Special Feature
Video from RSNA 2019: Dr. Paul Chang on AI and radiology
Video from RSNA 2019: Dr. Paul Chang on AI and radiology

Dr. Paul Chang of the University of Chicago shares his views on how recent changes in artificial intelligence promise to reshape medical imaging. Learn more

Conferences
Conference on Artificial Intelligence in Medicine (AIME)
August 26-29
Minneapolis, Minnesota United States
Ai4 Healthcare Conference
September 1-2
Las Vegas, Nevada United States
Machine Intelligence in Medical Imaging (C-MIMI)
September 13-14
Baltimore, Maryland United States