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.

Industry Watcher’s Digest
Buzzworthy developments of the past few days.
Biden Administration itemizes AI accomplishments to date
Half a year after President Biden officially directed federal agencies in the executive branch’s bailiwick to “seize the promise and manage the risks” of AI, the White House has posted a status report.
New research offers reminder of why ChatGPT should not be used for second opinions
Although these tools have proven themselves valuable in numerous settings, they must be used with caution, especially by patients and nonradiologist providers who may be seeking clarification on imaging reports.
ChatGPT struggles to evaluate heart risk—but it could still help cardiologists
Relying on the AI-powered chatbot for heart assessments could be "dangerous," researchers warn, but the technology may still be helpful in certain situations.
Industry Watcher’s Digest
Buzzworthy developments of the past few days.

The V-Wave intra-atrial shunt to treat heart failure on display on the expo floor at ACC.24. The device was used in one of the late breaking trials at ACC. DF 3

PHOTO GALLERY: Highlights from ACC.24 in Atlanta

ACC.24, the American College of Cardiology's annual meeting in Atlanta, featured the latest in cardiovascular research and technologies. Representatives from Cardiovascular Business were there in person to take in the excitement.

April 16, 2024

AI able to assess invasiveness of lung lesions to aid in surgery

In a study, the most accurate model combined deep-learning with a radionomics approach.

April 11, 2024

artificial intelligence AI for talk therapy

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

April 11, 2024

Semiautonomous AI shows potential to reduce false positives, unnecessary procedures and medical expenses

Scientists developed the deep learning algorithm using a set of over 123,000 digital mammograms (including 6,100-plus cancer cases).

April 11, 2024

Submitted for consideration by all healthcare AI stakeholders: 10 principles, 6 commitments, 1 direction

Key collaborators across the healthcare AI life cycle now have a common set of principles to which they can hold each other. And that means everyone from developers and researchers to providers, regulators and even patients.

April 11, 2024

First-in-human trial shows potential of guiding CABG with cardiac CT and AI—no ICA required

An independent heart team blinded to ICA results was able to deliver helpful guidance for CABG procedures for 99.1% of patients using just CCTA and FFR_CT alone. This approach is safe and feasible, researchers wrote, and the next step is to gather additional data.

April 10, 2024

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

April 9, 2024

New York Times artificial intelligence training data

The well for AI training data is running dry. Big Tech heavyweights are taking extraordinary measures to deal with the drought.

Bumping up hard against the reality of depleted data sources, three of AI’s top players have been acting like they’ve had no choice but to consider cutting corners.

April 9, 2024