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. 

Thumbnail

Radiographers are apprehensive about integrating AI into their workflow

Some believe it could make their jobs easier, while others perceive AI as a threat to their employment, new survey data suggest.

Thumbnail

New low-field MRI small enough to plug into a standard wall outlet saves money without sacrificing safety

And with the help of deep learning techniques, it provides diagnostic quality imaging.

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

Biosense Webster CARTO 3 System Version 8

Biosense Webster updates 3D heart mapping software with advanced AI models

The update includes multiple new algorithms designed to improve efficiency during cardiac ablation procedures.

Thumbnail

Radiologist-founded startup Rad AI raises $50M in Series B financing

The company, which offers software to help physicians save time and alleviate burnout, will use the funds to expand global availability of its generative AI solutions.

artificial intelligence money finance acquisition

Lack of reimbursement hindering AI adoption, American College of Radiology warns Congress

Determining how to reimburse for healthcare artificial intelligence is likely to be a “complex policy challenge,” CEO William T. Thorwarth Jr., MD, wrote May 6. 

artificial intelligence in healthcare

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

underutilized healthcare data

So much healthcare data, so many missed opportunities

Four of five hospital leaders trust the accuracy of their institution’s data. Yet almost half of useable data gets underutilized if not completely untapped for guiding business and clinical decisions.