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.

Newswatch: AI-eager doctors, AI-reticent buyers, AI cost worriers, more
In medicine’s next chapter, AI literacy will separate physician leaders from peer followers.
7 pointers for AI-driven quality control in medicine
By automating repetitive tasks and ensuring consistent “QC,” well-deployed AI not only unburdens healthcare professionals but also sets new standards for efficiency and reliability in medical practice.
AI-powered risk model evaluates long-term risk of coronary artery disease
The advanced machine learning model tracks more than 50 different factors to make its predictions. It has already been found to be more accurate than popular prediction methods for heart disease that are currently available.
Enforcement of rule regulating discrimination in AI use will start May 1, ACR warns
However, it’s still uncertain whether the Trump administration will follow through with the new HHS policy update.
Only 4% of women comfortable with AI serving as sole reader of mammograms
“Incorporating patient perspectives into AI implementation strategies ensures that these technologies improve and not hinder patient care," one expert contends.

AI trained on adult data set performs adequately when turned toward pediatric population

Despite an explosion in new AI tools available to assist radiologists in their work, there remains a paucity of options in the pediatric space.

Imaging AI vendor’s stock leaps 86% after inking ‘strategic commercial agreement’ with Radiology Partners

ICAD Inc. said the deal spans multiple years and will see the nation’s largest radiology group adopting its breast technology across the enterprise.

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The world’s present reckoning with a certain transformative technology ought to contain echoes of the past for CIOs and CTOs who were working their way up 10, 20 or even 30 years ago.

radiology reporting EHR health record CDS AUC

ImpressionGPT, a ChatGPT-based framework, can accurately summarize radiology reports

The program leverages the in-context learning abilities of large language models to generate report summaries using domain-specific, individualized data relative to radiology.

Artificial intelligence (AI) model using chest x-rays to evaluate cardiac function

No echocardiography, no problem? AI evaluates cardiac function using chest X-rays

Researchers think their new AI model could be especially helpful in areas where qualified physicians and/or ultrasound technology are in short supply.

Natural language processing can limit report discrepancies between AI and radiologists

A Journal of the American College of Radiology study details how one radiology department implemented NLP software to resolve inadvertent discordance between physicians and an AI decision support system.

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

Artificial Intelligence

Newswatch: AI-eager doctors, AI-reticent buyers, AI cost worriers, more

7 pointers for AI-driven quality control in medicine

AI-powered risk model evaluates long-term risk of coronary artery disease

Enforcement of rule regulating discrimination in AI use will start May 1, ACR warns

Only 4% of women comfortable with AI serving as sole reader of mammograms