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.

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.
Most patients trust AI to interpret their imaging, but certain demographic factors shape these opinions
“Incorporating patient perspectives into AI implementation strategies ensures that these technologies improve and not hinder patient care."

Radiology vendor Covera Health raises up to $50M in financing, acquires AI firm

Coupled with its acquisition of CoRead—an AI quality assurance company used by over 2,000 hospitals—the startup plans to rapidly scale its offerings.

Covera Health earns $50M in funding, acquires radiology AI company

As part of the funding deal, Covera Health has finalized the acquisition of artificial intelligence vendor CoRead.

AI-powered radiology triage tech prioritizes image review based on patient need

Annalise.ai received "breakthrough designation" from the FDA for its radiology triage AI.

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

executive order on artificial intelligence

What they’re saying about the White House’s executive order on AI

In the Biden administration’s latest push to encourage beneficial AI innovation while discouraging hazardous AI risk-taking, the president on Monday announced an executive order fleshing out that coupled call.

President Biden issues ‘landmark’ executive order on artificial intelligence

The Medical Imaging & Technology Alliance, which represents device manufacturers, praised the president's announcement.

Roche, Ibex Medical Analytics and AWS partner for better cancer diagnostics

The three companies are partnering to bring AI tools to Roche’s digital pathology platform to streamline cancer diagnoses.

FDA grants Paige ‘Breakthrough’ status for breast cancer detection

Paige Lymph Node uses AI to assist pathologists in detecting breast cancer metastases.

Artificial Intelligence

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

Most patients trust AI to interpret their imaging, but certain demographic factors shape these opinions