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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RSNA primes 2022 conference attendees for virtual participation, technical exhibits

With its 108th scientific assembly and annual meeting a little more than two weeks away, the Radiological Society of North America is encouraging attendees to experience 2022’s big show virtually—even if they’ll be there in person.

FDA greenlights intracranial hemorrhage AI

RapidAI has been cleared for U.S. marketing of updated AI-outfitted software that quickly detects or rules out acute brain hemorrhage on unenhanced CT.

Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, explains considerations for healthcare system information technology (IT) management teams on the implementation of artificial intelligence (AI). He also discusses ideally how AI should be integrated into medical IT systems, and some of the issues AI presents in the complex environment of real-world patient care." #AI #HIMSS

AI drug discovery company pens $1.2B research collab with Sanofi

Insilico Medicine, a clinical stage AI-drive drug discovery company, has penned a multi-year, multi-target strategic research collaboration with Sanofi in a deal valued at $1.2 billion.

AI-powered CCTA outperforms usual care when evaluating stable chest pain

The new study, presented at the AHA Scientific Sessions 2022 conference in Chicago, focused on data from more than 2,000 patients. 

AI identifies breast lesion subtypes, could prevent unnecessary biopsies

In a new paper in Radiology, experts explain how the use of artificial intelligence to identify lesion subtypes could benefit both clinics and patients. 

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AI-powered ECG screening boosts patient outcomes—when clinicians give it a chance

New research out of Mayo Clinic found that clinicians who listened to AI-based treatment recommendations were more successful at identifying patients with low ejection fraction. 

Researchers use AI for neural implants to treat Parkinson’s disease and epilepsy

When implanted in the brain, the chips can lessen symptoms by modulating abnormal brain activity.

New DL model detects effects of long COVID using only x-rays

The model could be beneficial for long COVID patients in areas where CT scans are not readily available, researchers concluded.