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. 

HeartFlow Plaque Analysis

CMS updates Medicare coverage for AI-powered coronary plaque assessments

The new policy goes into effect in November, improving Medicare coverage for a technology that has rapidly gained momentum in recent years.

hospital clinicians IT professionals operations leaders

Survey turns up a ‘troubling disconnect’ between clinicians and IT pros, finds operations leaders ‘caught in the middle’

Some 60% of IT professionals and 51% of operational leaders admit they’re reluctant to involve clinicians in software decisions. 

artificial intelligence healthcare industry digest

ChatGPT is overly worried about ED patients

The popular AI chatbot tends to over-order X-rays, prescribe too many antibiotics and admit too many patients to the hospital when compared with a resident emergency department physician. 

artificial intelligence in cardiology

FDA grants AI-powered ECG screening tool for aortic stenosis its breakthrough device designation

The FDA clearly sees significant potential in this new screening software from New York-based AccurKardia.

ai in healthcare bessemer venture partners

3 things AI startups, investors must know to clear hurdles in healthcare technology markets

As 2024 winds down and the number of FDA-approved medical devices packing AI approaches 1,000—the agency had the tally at 950 as of August—the industry finds itself at a “critical inflection point.” 

Nurses and AI artificial intelligence

4 ways to help nurses make friends with algorithms

Nurses tend to feel optimistic if not exactly excited about AI’s advances into their profession. Those who hold back tend to share a common concern—sacrificing care quality for the sake of tech-enabled efficiency. 

big pharma ai artificial intelligence

In pharma, AI will probably make the big even bigger

Generative AI is fixing to transform the pharmaceutical industry. However, not all adopters will reap rewards in comparable degrees.  

AI in healthcare

Said and heard this week in and around healthcare

10 notable quotes about AI from the past 5 days.

Around the web

When drugs are on the FDA’s shortage list, outsourcing facilities can produce their own compounded versions. When the FDA removed tirzepatide from that list with no warning, it created a considerable amount of chaos both behind the scenes and in pharmacies all over the country. 

If passed, this bill would help clinician-led clinical registries explore Medicare data for research purposes. The Society of Thoracic Surgeons and American College of Cardiology both shared public support for the bipartisan legislation. 

Cardiologists and other physicians may soon need to provide much more information when ordering remote patient monitoring for Medicare patients.

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