Multiple AI algorithms work better together
November 21, 2019 -- Employing multiple artificial intelligence (AI) algorithms to attack a task together results in better performance compared with using a single AI algorithm on its own, according to a study published online November 20 in Radiology: Artificial Intelligence.  Discuss
Practical Considerations of AI: Part 6 -- Ready, fire, aim
November 20, 2019 -- In part 6 of his Practical Considerations of AI series, PACSman Michael J. Cannavo shares his thoughts on why the market for radiology artificial intelligence technology has been slow to develop and what companies can do to stand out from the crowd.  Discuss
Deep-learning algorithm bolsters lung cancer detection
November 12, 2019 -- Radiologists using a deep-learning algorithm can detect more cases of lung cancer on chest radiographs than they could without help from the software, while also having fewer false positives, according to research published online November 12 in Radiology.  Discuss
Study: Public image datasets may have QC issues
November 11, 2019 -- Two large public image datasets commonly used to train artificial intelligence algorithms have quality control (QC) issues that could potentially limit their utility, according to research published online November 6 in Academic Radiology.  Discuss
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
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