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. 

ChatGPT neurology interview with neurologist

Experienced neurologist interviews generative AI, comes away impressed but not intimidated

ChatGPT can be a little sneaky. Recently asked if it’s ever messed up when helping physicians make clinical decisions, it only came clean with examples of stumbles after being pressed on the matter.

Kamala Harris artificial intelligence

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

executive order on artificial intelligence

What they’re saying about the White House’s executive order on AI

In the Biden administration’s latest push to encourage beneficial AI innovation while discouraging hazardous AI risk-taking, the president on Monday announced an executive order fleshing out that coupled call.

artificial intelligence in healthcare

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

artificial intelligence robotics healthcare

3 healthcare jobs at very low risk of replacement by AI

This past summer McKinsey Global Institute projected almost one-third of workplace activities in the U.S. will be automated by 2030, driving something like 12 million “occupational transitions.” 

generative artificial intelligence AI

4 ways to usher in ‘smooth scaling’ of generative AI

What does it take to scale the technology from a toe in the water to a full-on swim? 

generative AI large language models

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

artificial intelligence legal exposure

Healthcare AI and HIPAA compliance: 5 key legal questions + answers

Training AI for use in healthcare requires feeding algorithms patient data, and lots of it. This opens data custodians—typically hospitals—to various points of potential legal exposure.

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.