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.

Congress should relax budget neutrality to pay for imaging AI, industry lobbying group urges
"As the nation’s largest payer of healthcare, Medicare’s policies on coverage and payment for AI technologies are especially critical," AdvaMed says.
Newswatch: AI for Medicare folk, AI uncertainty at the FDA, generative ghosts, more
AI is making patient financial advisors of hospital administrators who used to work in revenue cycle management.
Deep learning reconstruction enables 5-minute MRI scans
New research in the American Journal of Roentgenology details a deep learning super-resolution image reconstruction technique that opens the door for accelerated imaging of the knee.
Feds should take page from EHRs, creating ‘Meaningful Use’ program to spur AI adoption, Rad Partners leaders say
"Using a similar approach of front-loaded, declining incentives, an AI-focused program could help accelerate adoption and implementation," write Richard Heller and Nina Kottler.
The future of AI in nursing is already here yet still on the way
Is AI changing the profession of nursing—or are nurses changing AI?

Amazon marshals partners, providers behind major move into medical imaging

Cloud giant Amazon Web Services is expanding its 1½ -year-old HealthLake data-management service in two imaging-specific directions. In the process it’s drawing vocal buy-in from healthcare providers as well as imaging vendors.

2 major industry players combine forces to drive medical imaging AI ‘directly into clinical settings’

An imaging industry supplier best known for a widely adopted radiology reporting platform is partnering on radiological artificial intelligence with a company that pioneered GPUs and accelerated computing.

RSNA primes 2022 conference attendees for virtual participation, technical exhibits

With its 108th scientific assembly and annual meeting a little more than two weeks away, the Radiological Society of North America is encouraging attendees to experience 2022’s big show virtually—even if they’ll be there in person.

FDA greenlights intracranial hemorrhage AI

RapidAI has been cleared for U.S. marketing of updated AI-outfitted software that quickly detects or rules out acute brain hemorrhage on unenhanced CT.

Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, explains considerations for healthcare system information technology (IT) management teams on the implementation of artificial intelligence (AI). He also discusses ideally how AI should be integrated into medical IT systems, and some of the issues AI presents in the complex environment of real-world patient care." #AI #HIMSS

AI drug discovery company pens $1.2B research collab with Sanofi

Insilico Medicine, a clinical stage AI-drive drug discovery company, has penned a multi-year, multi-target strategic research collaboration with Sanofi in a deal valued at $1.2 billion.

AI-powered CCTA outperforms usual care when evaluating stable chest pain

The new study, presented at the AHA Scientific Sessions 2022 conference in Chicago, focused on data from more than 2,000 patients.

AI identifies breast lesion subtypes, could prevent unnecessary biopsies

In a new paper in Radiology, experts explain how the use of artificial intelligence to identify lesion subtypes could benefit both clinics and patients.

AI-powered ECG screening boosts patient outcomes—when clinicians give it a chance

New research out of Mayo Clinic found that clinicians who listened to AI-based treatment recommendations were more successful at identifying patients with low ejection fraction.

Artificial Intelligence

Congress should relax budget neutrality to pay for imaging AI, industry lobbying group urges

Newswatch: AI for Medicare folk, AI uncertainty at the FDA, generative ghosts, more

Deep learning reconstruction enables 5-minute MRI scans

Feds should take page from EHRs, creating ‘Meaningful Use’ program to spur AI adoption, Rad Partners leaders say

The future of AI in nursing is already here yet still on the way