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. 

laid off artificial intelligence AI in healthcare

Healthcare AI today: AI-enabled layoffs, following the AI money, AI to unscrew healthcare, more

A network of more than 100 clinics is leveraging AI to lay off more than 175 of its 2,500 or so nonclinical staff by early November.

artificial intelligence

Experts push for new generalist radiology AI models that move beyond single tasks, ease financial concerns

Consolidation of image interpretation assistance into one package can minimize costs and open the market to radiology providers who cannot afford current offerings, scientists write in Radiology.  

Thumbnail

High school seniors create AI chatbot that understands medical bills

The system, dubbed MedFinanceAI, only works in Nebraska for now. But the three teens behind its development said it can be rolled out into other communities.

layoffs staff cuts termination workforce

Largest physician-owned health system in Utah braces for AI-driven layoffs

The Utah Department of Workforce Services warns that 177 people at Revere Health are expected to lose their jobs by Nov. 3. The health system said automation upgrades are necessary to stay competitive. 

Exploring the link between left ventricular diastolic function and AFib

Evaluating LVDF with echocardiography or AI-powered electrocardiography can help identify individuals at an increased risk of developing atrial fibrillation, according to new data presented at the ASE 36th Annual Scientific Sessions.

substance use disorder therapy with AI

Addiction medicine eager to embrace AI

People with substance use disorders stand to benefit from healthcare AI just like any other patients. But they may have to wait a bit longer than most others since AI has only just begun to emerge in addiction medicine. 

Thumbnail

AI spots incidental nodules on routine chest X-rays

A new case series suggests AI could be used to improve lung cancer screening in low-resource settings or serve as a complement to low-dose CT screenings.

AI healthcare doctor surgery procedure artificial intelligence

Primary care providers embrace AI-generated imaging results explanations

Stanford Health Care has developed an electronic health record-integrated tool for helping draft comments on radiology, pathology and lab findings.