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. 

Venerable medical journal spawns AI-focused offspring

The 211-year-old New England Journal of Medicine has birthed an online-only monthly journal that will take on “some of the most pressing questions in medicine through the application of AI in the clinic.”

Cynthia Rudin, PhD. Photo courtesy of Duke University.

Prominent tech scholar: AI ‘feels like a runaway train that we’re chasing on foot’

Cynthia Rudin, PhD, is a highly regarded computer scientist who’s been eyeing the advance of artificial intelligence into society with equal parts enthusiasm and concern.  

QTrobot (left) and Misty. Photos by Hatice Gunes/University of Cambridge.

Toylike robot pleases counseling clients where humanoid counterpart struggles to connect

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.

Google ups activity in 4 reaches of healthcare AI

Along with expanding research into large-language models to rival OpenAI’s ChatGPC, the search-engine king is working on AI for improving maternal care, ultrasound access and tuberculosis screening.

To juice medical AI adoption, try a little Aristotelian persuasion

Wary consumers can be convinced to allow AI into their healthcare habits by communications campaigns tuned to the ancient rhetorical categories of ethos, pathos and logos. 

Ulcerative colitis AI identifies activity vs. remission, predicts future flareups

Researchers across the pond have developed and externally validated an AI model that can predict flareups of ulcerative colitis. 

Radiological AI revisited from the consumer’s-eye view: ‘People need to stop calling pattern recognition artificial intelligence’

By now it’s a difficult-to-dispute likelihood: AI won’t replace doctors making diagnoses, but doctors who use AI will displace doctors who don’t use AI. The hypothesis gets a fresh airing out from the vantage point of the general public. 

Academic envelope-pushers rev up biocomputing, OI and ‘intelligence in a dish’

Does the future of digital healthcare lie with biocomputers powered by engineered cultures derived from human brain cells? If so, it’s already underway in Baltimore.

Around the web

The American College of Cardiology has shared its perspective on new CMS payment policies, highlighting revenue concerns while providing key details for cardiologists and other cardiology professionals. 

As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”

FDA Commissioner Robert Califf, MD, said the clinical community needs to combat health misinformation at a grassroots level. He warned that patients are immersed in a "sea of misinformation without a compass."

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