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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Part of the graphical results from the Cedars-Sinai AI cardiac risk assessment tool from basic data like the patient’s age, gender, weight, heart rate, and blood pressure, and AI interpretation of cardiac imaging.

New Cedars-Sinai AI tool may predict cardiac events and better assess risk

Cedars-Sinai researchers are developing a deep-learning algorithm to personalize patient cardiac risk predictions in a patient-friendly, graphical report.

artificial intelligence industry

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

ChatGPT chatbot

ChatGPT effectively simplifies radiology reports, presents 'real opportunity' to better inform patients

Radiology reports are typically written in language well above the average American adult’s eighth grade reading level, making them a source of confusion for patients.

artificial intelligence robot evaluates healthcare data

‘AI doctor’ reads radiology reports, other physician notes to predict patient outcomes

"Large language models make the development of ‘smart hospitals’ not only a possibility, but a reality,” said Eric Oermann, MD, an assistant professor in NYU's Department of Radiology. 

breast cancer screening mammography

Artificial intelligence outshines traditional risk model at predicting breast cancer

Experts recently explored whether AI could predict a woman's chance of developing the disease, using only negative mammograms as an input. 

Avatar Medical virtual reality imaging

Startup scores FDA clearance for virtual reality tool that creates patient avatars via CT, MR images

Avatar Medical said its VR solution can serve as an aid in pre-operative planning or for use during procedures. 

FDA clears GE HealthCare MRI tool that can cut scan times by up to 83%

Sonic DL is powered by deep learning technology and targeted for use in cardiac MRI, the company said Monday.

Artificial Intelligence news digest

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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