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 today: $81M acquisition, Illinois says no to AI therapy, AI glucose cleared, more
FDA clears AI-powered glucose monitoring app. The clearance marks a first for an over-the-counter tool in this category.
Data policy research: AI hesitancy remains real, and value-based care models are still an uncertainty
Tech vendor Reveleer and policy analytics firm Mathematica released their annual 2025 State of Technology in Value-Based Care report, the findings of which show that AI adoption in healthcare is widespread—but integration is spotty.
Imaging-guided surgery startup Method AI raises $20M in Series A financing
Founded in 2021 as a spinoff of the Cleveland Clinic, its platform leverages continuous 3D ultrasound and AI-generated surgical plans to guide robotic-assisted procedures.
Healthcare AI today: 95% fail rate, epic at Epic, AI to the rescue of short staffs, more
Most organizations trying out generative AI—a full 95%—are failing to receive a measurable return on the pilot investment.
Johns Hopkins researchers: Time is running out to leverage AI for patients beyond a certain age
If three sticking points aren’t unstuck soon, older Americans won’t benefit much by the 1,000+ medical devices that, as of 2025, are both equipped with AI and cleared by the FDA.

Simulation reveals how breast tissue of varying density may react to MRI

Novel computer simulations of the female body developed by researchers from Purdue University in West Lafayette, Indiana, may help predict how more than 20 different breast tissue ratios will respond to MRI varying in radiofrequency.

‘Smart sheath’ uses AI to detect bleeds during endovascular procedures

A New Jersey hospital is testing an artificial intelligence (AI) device designed to alert clinicians to bleeding episodes during endovascular procedures.

Photoacoustic imaging technique may improve wearable imaging devices, medical diagnostics

Chinese researchers developed a flexible photoacoustic imaging technique by modifying fiber optic sensors and combining laser light and ultrasound to image biological tissue, detailed in a release from The Optical Society.

Deep learning beats radiologists at fibrotic lung disease classification

A deep-learning algorithm beat thoracic radiologists at classifying fibrotic lung disease, according to research published Sept. 15 in The Lancet Respiratory Medicine.

Maryland's Eliot Siegel discusses AI's potential for disruption in medical imaging

Health Imaging spoke with Eliot Siegel, MD, before this year’s SIIM Conference on Machine Intelligence in Medical Imaging to learn more about challenges and opportunities related to artificial intelligence (AI) in medical imaging, how AI and machine learning should be incorporated into clinical applications and what the future holds for AI.

AI algorithm IDs abnormal chest x-rays with 90% accuracy

Artificial intelligence (AI)-focused startup Qure.ai published a study Tuesday, Sept. 18, validating its chest x-ray algorithm trained on 1.2 million chest scans and radiology reports.

AI determines difference between lung cancers with 97% accuracy

Using artificial intelligence, researchers at the NYU School of Medicine can correctly distinguish between two different types of lung tumors—adenocarcinoma and squamous cell carcinoma—with 97 percent accuracy.

AI identifies lung cancer type with 97% accuracy

An artificial intelligence (AI) algorithm created by NYU School of Medicine researchers distinguished between two forms of lung cancer with 97 percent accuracy, according to a study published in Nature Medicine.

Artificial Intelligence

Healthcare AI today: $81M acquisition, Illinois says no to AI therapy, AI glucose cleared, more

Data policy research: AI hesitancy remains real, and value-based care models are still an uncertainty

Imaging-guided surgery startup Method AI raises $20M in Series A financing

Healthcare AI today: 95% fail rate, epic at Epic, AI to the rescue of short staffs, more

Johns Hopkins researchers: Time is running out to leverage AI for patients beyond a certain age