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.

Prompts matter: How input elements affect large language model performance
Just like radiologists, the performance of large language models improves when given proper context.
AI can help radiology standardize image exam data labeling
To fully leverage today's radiology IT systems, standardization is a necessity. Steve Rankin, chief strategy officer for Enlitic, explains how artificial intelligence can help.
Mayo Clinic and Microsoft partner to advance generative AI in radiology
The pair's hope is that their model, which will first focus on chest X-rays, will provide significant benefits for radiology workflows.
ACR partners to create AI foundational model assessment website
Christoph Wald, MD, vice chair of the American College of Radiology Board of Chancellors, explains the partnerships with academic institutions to create the Health AI Challenge will help provide a better understanding of how foundational AI models work.
Could synthetic images replace the need for contrast?
Synthetic images are often of diagnostic quality and can be reliably used to assess clinically significant prostate cancer while also sparing patients from contrast exposure.

artificial intelligence healthcare industry digest

Prompts matter: How input elements affect large language model performance

Just like radiologists, the performance of large language models improves when given proper context.

Video of Steve Rankin, chief strategy officer for Enlitic, explaining how AI can help standardize labeling of medical images.

AI can help radiology standardize image exam data labeling

To fully leverage today's radiology IT systems, standardization is a necessity. Steve Rankin, chief strategy officer for Enlitic, explains how artificial intelligence can help.

Mayo Clinic and Microsoft partner to advance generative AI in radiology

The pair's hope is that their model, which will first focus on chest X-rays, will provide significant benefits for radiology workflows.

Video Christoph Wald explains how the Health AI Challenge help understand how foundational AI models work

ACR partners to create AI foundational model assessment website

Christoph Wald, MD, vice chair of the American College of Radiology Board of Chancellors, explains the partnerships with academic institutions to create the Health AI Challenge will help provide a better understanding of how foundational AI models work.

Simulated MR images could eliminate the need for contrast in prostate scans.

Could synthetic images replace the need for contrast?

Synthetic images are often of diagnostic quality and can be reliably used to assess clinically significant prostate cancer while also sparing patients from contrast exposure.

The imaging iodine contrast shortage is delaying procedures and causing rationing at hospitals. impact is it having on hospitals and the tough decisions that are being made to triage patients to determine if they will get a contrast CT scan or an interventional or surgical procedure requiring contrast. Photo by Dave Fornell

Experts developing AI model that learns from calcium-scoring CT scans

The team hopes to develop a model that will estimate a patient's risk of major cardiovascular events and predict when such events are most likely to occur.

FDA has approved over 1,000 clinical AI applications, with most aimed at radiology

Diagnostic imaging leads the way in AI product approvals by a mile, accounting for more than 70% of all applications on the list.

Commercially available AI increases breast cancer detection by nearly 20%

Results from the world’s largest prospective artificial intelligence study revealed the system could significantly benefit breast cancer screening programs.

Around the web

Radiology Business

AI can help radiology standardize image exam data labeling

To fully leverage today's radiology IT systems, standardization is a necessity. Steve Rankin, chief strategy officer for Enlitic, explains how artificial intelligence can help.

Radiology Business

The biggest obstacles facing radiology business managers in 2025

RBMA President Peter Moffatt discusses declining reimbursement rates, recruiting challenges and the role of artificial intelligence in transforming the industry.

Cardiovascular Business

New cardiac prevention paradigm explored in TRANSFORM trial using AI and CCTA

Deepak Bhatt, MD, director of the Mount Sinai Fuster Heart Hospital and principal investigator of the TRANSFORM trial, explains an emerging technique for cardiac screening: combining coronary CT angiography with artificial intelligence for plaque analysis to create an approach similar to mammography.