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. 

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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.

Stephen Browning, FDA assistant director for hemodynamic and heart failure diagnostics, explains the FDA perspectives and regulatory pathways for AI-enabled cardiovascular devices at TCT 2024.

FDA regulator examines AI's growing influence in cardiology

Stephen Browning, the FDA's assistant director of hemodynamics and heart failure diagnostics, spoke with Cardiovascular Business about the agency's perspective on AI-enabled cardiovascular devices and many other topics.

Artificial intelligence AI

Industry Watcher’s Digest

HHS isn’t waiting to see what its incoming secretary does before filling some key leadership positions. 

eye vision

AI uncovers ‘vascular fingerprints’ in the eye that can predict strokes

An advanced algorithm was trained to evaluate more than 100 different details about the inside of a patient's eye. Its ability to identify high-risk patients was comparable to more traditional techniques, exciting researchers. 

doctors nurses hospital AI

AI in the ICU (and elsewhere): Less stress, better conditions, alleviated shortages

When appropriately applied in critical care settings, AI can deliver considerable value to clinical staff, hospital management and local communities. In the process the technology may help resolve persistent staffing shortages.

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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.

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