AI needs robust clinical evaluation in healthcare
November 6, 2019 -- It's not enough for a healthcare artificial intelligence (AI) algorithm to be highly accurate. To be widely adopted in clinical use, it must demonstrate improvement in quality of care and patient outcomes, according to an opinion article published online October 29 in BMC Medicine.  Discuss
Survey finds high burnout levels among radiology staff
November 6, 2019 -- New research has found that radiologic technologists and imaging directors on average expressed only "moderate" satisfaction with their jobs, while almost all technologists reported some level of burnout. Lack of patient preparation and patient information was one of the top sources of frustration.  Discuss
Deep-learning model characterizes PET/CT findings
November 1, 2019 -- An artificial intelligence algorithm shows a promising level of accuracy for identifying normal and abnormal results on FDG-PET/CT exams, and it could potentially help radiologists avoid missed findings, according to research published online October 28 in the Journal of Digital Imaging.  Discuss
AI may help improve sensitivity of ED chest x-ray reads
October 25, 2019 -- An artificial intelligence (AI) algorithm can accurately identify significant abnormalities on chest x-rays and could improve the sensitivity of radiology residents interpreting these cases in the emergency department (ED), according to research published online October 22 in Radiology.  Discuss
AI boosts ultrasound for thyroid cancer screening
October 24, 2019 -- Using artificial intelligence (AI) with thyroid ultrasound offers a quick and noninvasive approach to thyroid cancer screening, according to a study published online on October 24 in JAMA Otolaryngology -- Head & Neck Surgery.  Discuss
Can AI find brain hemorrhage as well as radiologists?
October 22, 2019 -- An artificial intelligence (AI) algorithm was able to accurately identify acute intracranial hemorrhage on head CT scans and even find some tiny hemorrhages that could be overlooked by radiologists, according to research published online October 21 in the Proceedings of the National Academy of Sciences.  Discuss
New AI training model addresses data privacy concerns
October 14, 2019 -- A new approach to training artificial intelligence (AI) algorithms on imaging data from multiple institutions can produce high-performing models -- while still preserving patient privacy, according to new research from graphics processing unit technology developer Nvidia and King's College London.  Discuss
4 steps for physicians to influence AI legal issues
October 9, 2019 -- The adoption of artificial intelligence (AI) in clinical practice can engender complex medicolegal issues, but physicians can take certain actions to shape how liability determinations will play out, according to an article published online October 4 in the Journal of the American Medical Association.  Discuss
AI model could speed up pneumonia diagnosis in ED
October 4, 2019 -- An artificial intelligence (AI) algorithm for chest x-rays that was tested in real-time in the emergency department (ED) could improve the quality of care for patients suspected to have pneumonia, according to research presented on September 30 at the European Respiratory Society International Congress in Madrid.  Discuss
Societies team up to promote ethics in radiology AI
October 2, 2019 -- The adoption of artificial intelligence (AI) in radiology engenders complex societal and ethical issues, and it's time to begin developing codes of ethics and practice for the technology, according to a statement published October 2 by seven radiology and imaging informatics organizations in North America and Europe.  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
Steamboat Springs 2020: MR and CT Advanced Imaging and Artificial Intelligence
March 1-6, 2020
Steamboat Springs, Colorado United States
Computer Assisted Radiology and Surgery (CARS) 2020
June 23-27, 2020
Munich, Bayern Germany