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.

Open-access AI invites refinement of COVID-19 diagnosis

Researchers at the University of Waterloo in Ontario have introduced a convolutional neural network for diagnosing COVID-19 on chest X-rays.

Crowdsourcing, 3D printing rise to fill hospitals’ COVID-19 equipment gaps

The can-do spirit of techies is shining around the world in some modest but mighty efforts to pitch in against the global coronavirus pandemic.

How Wuhan robots tended to COVID patients while keeping med staff safe

Some look like people in robot costumes. Some look like microwave ovens on wheels. All helped healthcare workers in Wuhan, China, avoid contracting COVID-19 while caring for hospitalized patients who had the illness.

New framework promotes ethical, secure data sharing for developing AI

Stanford University School of Medicine clinicians detailed their suggestions to spur the development of artificial intelligence Tuesday in Radiology.

Enterprising industry players join the AI-aided fight against COVID-19

Numerous healthcare technology companies are jostling to get products leveraging AI in front of healthcare providers on the front lines of the battle against COVID-19.

AWS makes $20M move to counter COVID-19 with compute power

Amazon Web Services is corralling the expertise of more than 30 research institutions, businesses and startups to help combat COVID-19. The cloud giant has allotted $20 million for the work.

Machine learning scans MRIs to diagnose specific forms of muscular dystrophy

Researchers from Spain used nearly 1,000 pelvic and lower limb MRIs, displaying various forms of the disease, to create their model.

AI-based clinical decision support unloved in practice

Mayo Clinic researchers have found that primary care providers welcome the concept of AI-based clinical decision support (CDS) while preferring not to use the technology—at least as configured for their tryout adoption—in day-to-day practice.

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