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.

Healthcare AI today: Senate arguments, aging infrastructure, ‘elastic’ jobs, more
States’ rights or federal power? Senate Republicans are of two minds on AI regulation in the One Big Beautiful Bill.
That’s no mere hospital—it’s a ‘complex adaptive system.’ Use GenAI accordingly.
From the perspective of management science, healthcare is a complex adaptive system marked by intricate feedback loops and overlapping interdependencies. As such, the sector demands caution by those introducing large-language AI into its tangled webs.
First AI-enabled POCUS app for detecting pleural effusion and atelectasis earns FDA clearance
The apps are embedded into the Exo Iris transducer, which can be plugged directly into a smartphone, utilized anywhere and without the internet.
Startup seeking to simplify medical imaging referrals raises $101M
Tennr uses an “enterprise orchestration engine” and series of specialized language models, trained on the nuances of processing documentation against payer criteria.
AI model gets helpful heart assessments out of nongated CT scans
"Using AI for tasks like CAC detection can help shift medicine from a reactive approach to the proactive prevention of disease," one researcher said.

AI system checks for face masks, high temperatures to slow spread of COVID-19

Microsoft has debuted a new AI solution that could help slow the spread of the new coronavirus.

Algorithm measures children’s leg-length discrepancies in 1 second

A deep-learning algorithm has accurately measured 26 pairs of uneven leg lengths on children’s x-rays at a rate 96 times faster than that recorded by an experienced, subspecialty-trained pediatric radiologist using manual means.

AI company raises $12M for ‘digital twin’ tech aimed at healthcare researchers

Unlearn.AI, a San Francisco-based AI technology company, has raised $12 million in Series A financing.

Clinicians use AI device to remotely monitor COVID-19 patient

The feat may offer a way for physicians to watch for signs of deterioration in patients who have too mild a case of the disease to warrant hospitalization but may need quick response if the condition worsens.

COVID crisis inspiring well-intended contributions, but results may be risky

An MIT AI reporter considers the COVID-countering volunteerism of, among others, the founder of a machine-learning startup. He entered the fray when he saw that his parents weren’t getting it about the need to practice social distancing.

2D synthetic mammography 1 step closer to elbowing out full-field digital

For finding microcalcifications in screening exams, full-field digital mammography now has little to recommend it over reduced-radiation 2D synthetic mammography.

To help solve COVID-19, AI needs more time and less dreaming

The COVID-19 crisis is inspiring all manner of loudly touted innovations aimed at leveraging AI to beat back, stamp out or otherwise contain the pandemic. Some watchers aren’t convinced the efforts are worthy of the attention they’re getting.

AI researchers hope to ID healthcare workers with COVID-19 before they show symptoms

Researchers from West Virginia University have launched a new study aimed at identifying healthcare workers infected with the new coronavirus before they become symptomatic.

Artificial Intelligence

Healthcare AI today: Senate arguments, aging infrastructure, ‘elastic’ jobs, more

That’s no mere hospital—it’s a ‘complex adaptive system.’ Use GenAI accordingly.

First AI-enabled POCUS app for detecting pleural effusion and atelectasis earns FDA clearance

Startup seeking to simplify medical imaging referrals raises $101M

AI model gets helpful heart assessments out of nongated CT scans