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. 

ai enabled electronic health record EHR EMR

5 benefits of AI-enabled EHR systems

Integrating AI into the electronic medical record can make patient data more usable and dependable for end-users, according to a review of the relevant scientific literature published this month in the American Journal of Clinical and Medical Research.

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. 

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.

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.

 

circuit board

Industry Watcher’s Digest

Having released the latest version of Llama in December, Meta is telling the world that open-source AI is the future of AI in healthcare. 

4 ways HHS plans to help shape a national strategy for healthcare AI

HHS has thought through the ways AI can and should become an integral part of healthcare, human services and public health. Last Friday—possibly just days ahead of seating a new secretary—the agency released a detailed plan for getting there from here.

Around the web

U.S. health systems are increasingly leveraging digital health to conduct their operations, but how health systems are using digital health in their strategies can vary widely.

When human counselors are unavailable to provide work-based wellness coaching, robots can substitute—as long as the workers are comfortable with emerging technologies and the machines aren’t overly humanlike.

A vendor that supplies EHR software to public health agencies is partnering with a health-tech startup in the cloud-communications space to equip state and local governments for managing their response to the COVID-19 crisis.