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. 

healthcare AI regulation

Healthcare AI today: Another angle on AI regulation, move fast but don’t break things, WISeR in the real world, more

Getting healthcare AI to fulfill its destiny—can we call it that now?—will require ‘scenario-based’ consideration of every use case.

older adults technology

Lit review identifies a ‘glaring gap’ involving older Americans and healthcare AI

Conventional wisdom has it that older adults willingly lag behind younger subpopulations when it comes to reaping the benefits of emerging healthcare technologies, including AI. 

AI model reduces false positives on lung cancer CT scans

AI model nearly halves false positive rates for lung cancer CT screenings

Reducing false positives could decrease the frequency of unnecessary procedures, lower the associated costs and also ease patient anxiety concerning CT results. 

A robot in Wisconsin is being trained to do remote ultrasounds

A robot may soon be handling patients' ultrasounds in a Wisconsin health system

The machine will be operated remotely by a sonographer who has been trained to conduct remote ultrasound exams.

ai in healthcare artificial intelligence

Large hospital system implements radiology AI tool across its entire network

The move highlights the growing trend of organizations turning to artificial intelligence to help address some of healthcare's most pressing issues. 

nurse burnout stock image

Survey: 55% of clinicians seeking new work amid healthcare labor shortages

In a Harris Poll, the vast majority (84%) of frontline healthcare workers expressed dissatisfaction with their jobs, though most said they’d consider staying in their current role if provided an opportunity for education and career advancement.

Lung cancer screening stethoscope

AI outperforms radiologists at predicting cancer treatment response based on imaging

These findings have the potential to change how treatment decisions are made in the future, researchers suggest.

Dana Smetherman, MD, MPH, MBA, FACR, chief executive officer of the American College of Radiology (ACR), explains ACR efforts to help members understand and enable easier integration of artificial intelligence (AI) into practice while also ensuring it can be trusted.

ACR expands programs to help radiology practices integrate and trust AI

CEO Dana Smetherman, MD, MPH, MBA, explains American College of Radiology efforts to help members understand and enable easier integration of artificial intelligence.