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. 

artificial intelligence heart AI

AI predicts LBBB risk in TAVR patients prior to treatment

The authors tested out a variety of machine learning techniques, including large language models and more traditional algorithms. They focused on data that can be gathered prior to treatment, ensuring cardiologists know as much as possible before the procedure.

Nabil Dib, MD, director clinical and translational research, Dignity Health, and founder of the non-profit International Society for Cardiovascular Translational Research (ISCTR), explains resources ISCTR has to help doctors and start ups navigate regulatory pathways to expedite moving from research to clinical application.

Nonprofit group helps doctors and startups bring new cardiovascular tech to market

Nabil Dib, MD, founder of the International Society for Cardiovascular Translational Research, details resources to help doctors and startups navigate the shift from conducting research to commercializing new products and applications.

overpromising AI artificial intelligence capabilities

Healthcare AI newswatch: Devices of unknown generalizability, promises of uncertain keepability, more

Overpromising AI capabilities to hospital stakeholders—now there’s a mistake healthcare AI enthusiasts have been known to make.

AI patient portal messages personalized care

Patient portal messages can train AI to support personalized care in endocrinology (and beyond)

For the study, researchers had five diabetes specialists judge precision AI tools developed from a large, longitudinal dataset of patients’ individually expressed needs. 

Jewel Patch Wearable Cardioverter Defibrillator from Element Science

FDA approves new AI-enabled wearable cardioverter defibrillator

The newly approved device can be worn for up to a week at a time, with no daily maintenance required, and includes advanced AI algorithms that minimize the risk of false alarms or inappropriate shocks.

radiology report bubbles translate informatics imaging

AI-enabled platform that simplifies MRI reports expands into other modalities

This expansion comes alongside a growing trend of patients being given near immediate access to their imaging and radiology reports.

Nurses and AI artificial intelligence

Healthcare AI newswatch: Bill Gates detractors, structured medical timelines, helpful China tariffs, more

Bill Gates wasn’t just wrong to suggest AI will make physicians unnecessary. He was reckless. 

artificial intelligence AI in healthcare

Industry watchers call healthcare AI a ‘double-edged sword’ that ‘cannot function in isolation’

Healthcare may finally have struck a healthy balance between AI hype and AI reality, according to a report from impartial observers who are also, indirectly at least, healthcare AI stakeholders.