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 calls 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
SIIM 2020: How to create robust radiology AI algorithms
June 25, 2020 -- It's not easy to develop radiology artificial intelligence (AI) algorithms that don't just perform well on data that are similar to what they are trained on. But there are ways to help improve AI robustness, according to June 24 talks at the virtual annual meeting of the Society for Imaging Informatics in Medicine (SIIM).  Discuss
SIIM 2020: AI nearly halves breast ultrasound reading time
June 24, 2020 -- Using artificial intelligence (AI) to analyze breast ultrasound lesions reduced interpretation time by 49% at a healthcare center in Missouri. The software is particularly helpful for lesions classified as BI-RADS 2, 3, and 4A, attendees of the Society for Imaging Informatics in Medicine's (SIIM) virtual meeting learned on June 24.  Discuss
5 ways rads can use social media to shift AI narrative
June 19, 2020 -- Misleading commentary and incorrect information on social media regarding the impact of artificial intelligence (AI) on radiology can significantly impact how the specialty is perceived, and it's time for radiologists to reshape the conversation, according to an article published online June 15 in Clinical Imaging.  Discuss
AI algorithm detects appendicitis on CT exams in ER
June 18, 2020 -- South Korean researchers developed an artificial intelligence (AI) algorithm that was highly accurate and generalizable for detecting acute appendicitis on CT exams in emergency room (ER) patients. The algorithm could, if necessary, potentially fill in for a radiologist, according to research published online June 12 in Scientific Reports.  Discuss
COVID-19: Early signs of recovery, but uncertainty ahead
June 15, 2020 -- The global pandemic has created an unprecedented shock to the medical imaging and healthcare sectors. What is the future likely to hold? What are the key economic trends, bright spots, and areas of greatest risk? Market columnist Steve Holloway investigates.  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

Machine Learning for Healthcare (MLHC)
August 6-8
Durham, North Carolina United States
Conference on Artificial Intelligence in Medicine (AIME)
August 26-29
Minneapolis, Minnesota United States
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September 1-2
Las Vegas, Nevada United States
Machine Intelligence in Medical Imaging (C-MIMI)
September 13-14
Baltimore, Maryland United States