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New imaging technique may ID colorectal cancer in real-time

December 6, 2019 -- Researchers from Washington University in St. Louis have developed a new imaging technique based on optical tomography combined with deep learning that may provide accurate, real-time, computer-aided diagnosis of colorectal cancer. Discuss

What to look for in AI and IT at RSNA 2019

November 22, 2019 -- RSNA 2019 offers an excellent chance for radiology professionals to get a good look at what's hot in artificial intelligence (AI) and information technology (IT). Simon Harris and Steve Holloway of market research firm Signify Research discuss the major trends they expect to see at McCormick Place. Discuss

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

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