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. 

Radiography students give high-marks to 3D virtual reality simulation training

More than 90% of trainees said they would recommend the tool to their peers, according results of a survey published in Radiography.

4 ways AI may change plastic surgery

It has a ways to go in the field, but AI promises to modernize plastic surgery along both its main branches, cosmetic and reconstructive.

Photo-fed AI can tell your dietician what’s on your plate

If it pans out at real-world dinner tables, a freshly cooked-up AI system will soon be counting calories and sniffing out macronutrients just by gobbling up images of meals.

Large neuroimaging study links weight gain with brain dysfunction, Alzheimer's

Amen Clinics analyzed more than 35,000 SPECT scans taken from some 17,000 patients for their research, published recently.

Google and Harvard team up against COVID

Pandemic forecasting models aren’t hard to find of late, but a new one combines epidemiological expertise from a top-three medical school with AI knowhow from one of big tech’s biggest.

Major new digital health center quickly taking shape

One state’s largest health system is combining forces with that state’s top medical school to launch a multidisciplinary digital health center that’s notable for its apparent velocity out of the gate.

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‘Why not change the world?’: Grant will fast-track AI tools for screening high-risk COVID cases

The algorithms will analyze various pieces of information, including CT images and vital signs, to help clinicians determine disease severity and predict patient outcomes.

Researchers move closer to a blood test for Alzheimer’s, replacing costly PET scans

The findings will also propel research studies into new treatments and help diagnose patients with dementia.