Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

As artificial intelligence (AI) adoption expands in radiology, there is growing concern that AI algorithms needs to undergo quality assurance (QA) reviews. How to validate radiology AI? How can you validate medical imaging AI?

Zebra Medical Vision receives 3 grants to implement AI solutions throughout Israel

Zebra Medical Vision announced it has received grants from the Israel Innovation Authority to implement its AI algorithms in three of Israel's largest medical institutions.

February 14, 2019

Former Google China president talks AI, radiology in new interview

Kai-Fu Lee, the CEO of a Chinese venture capital firm and former president of Google China, discussed AI and its impact on various sectors of the economy in a new interview with Fox Business.

February 12, 2019

AI-augmented bone age assessment proves accurate, reliable

Testing a previously developed deep-learning algorithm for assessing children’s bone age on x-rays, Harvard researchers have found their tool combined with a radiologist beats three competitors—AI alone, a radiologist alone and a pooled group of unaided experts.

February 11, 2019

New prediction tool uses AI to help providers treat prostate cancer patients

Researchers have developed a new framework that uses machine learning to predict prostate cancer progression, according to new findings published in Scientific Reports.

February 8, 2019
Doctor AIzimov

AI system detects lung nodules in CT images in 20 seconds

A research team out of Russia says it has developed a new artificial intelligence (AI) system for treating lung cancer patients that can interpret CT results in 20 seconds.

February 4, 2019
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AI may cause anxiety, but medical student interest in radiology still growing

Recent research has suggested that artificial intelligence (AI) may be keeping students from considering radiology as a career. The author of a letter to the editor published in Academic Radiology, however, noted that interest in radiology appears to be growing. 

February 1, 2019

AI-based imaging suite from Oxipit gains CE certification

Oxipit, a medical imaging solutions manufacturer based out of Vilnius, Lithuania, announced that its ChestEye imaging suite has received CE certification.

February 1, 2019
A survey conducted by the Ann and Robert H. Lurie Children's Hospital of Chicago found more than 75% of parents are generally receptive to the use of artificial intelligence (AI) tools in the management of children with respiratory illnesses in the emergency department (ED). However, some demographic subgroups, including non-Hispanic black and younger age parents, had greater reservations about the use of these technologies. 

RSNA launches new journal focused on AI in radiology

RSNA has published the debut issue of its new online journal, Radiology: Artificial Intelligence.

January 30, 2019

Around the web

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

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