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. 

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AI model able to ID early signs of type 2 diabetes on imaging results

The authors hope their findings could lead to earlier diagnoses and improvements in patient care. 

Artificial intelligence shows promise predicting patients’ need for CT after traumatic brain injury

Only 10% of such scans reveal positive findings for TBI, raising concerns about overuse and radiation exposure among children, experts wrote in JACR. 

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AI predicts COVID prognosis at near-expert level using CT scoring system

A deep convolutional neural network was able to predict hospital stay, ICU admission and intubation when scoring chest CT images of hospitalized COVID patients.

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AI distinguishes between a heart attack and takotsubo syndrome more accurately than cardiologists

The advanced AI model outperformed a team of cardiologists, delivering a better AUC and overall accuracy. 

AI software that triages x-rays for pneumothorax receives FDA clearance

The new algorithm flags chest x-rays when it detects pneumothorax and notifies physicians of any suspicious findings.

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Imaging artificial intelligence startup Qure.ai raises $40M in new funding

First launched in 2016, the AI firm offers products that help docs read and interpret X-rays, CTs and ultrasounds “in less than a minute."

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AI shows promise as a second reader for breast cancer detection

A commercial artificial intelligence system correctly identified nearly 88% of screen-detected cancers and 45% of interval cancers, according to a major study published in Radiology. 

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AI assists radiologists in detecting fractures, improves workflow

Research published recently in Radiology found comparable sensitivity and specificity between artificial intelligence and clinicians for fracture detection. 

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