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. 

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.

Large language AI: It’s here. It’s soon to be everywhere. Get used to it.

ChatGPT and similar technologies coming down the medical pike have far to go before they’re reliable sources of accurate and appropriate health information. That doesn’t mean they’re non-factors now.  

Emotional rescue: AI app interprets feelings of the nonverbal

A healthcare AI startup spawned from academia has launched an app to help caregivers understand the emotional state of individuals who are minimally verbal due to such conditions as autism, brain injury and dementia.

Researchers building ‘commonsense AI’ from baby’s mind up

The project may inform theories of human neurodevelopment as dynamically as it advances computer and data science.

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.