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. 

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Abbott’s FreeStyle Libre 3 glucose monitor gains FDA clearance

Regulatory Roundup: FDA clears 2 new devices, grants breakthrough designation to advanced AI model

Catch up on several recent FDA announcements, including an update on the agency's response to the COVID-19 pandemic. 

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Parents welcome AI in pediatric emergency departments, but some uncertainty remains

Family engagement is seen as critical for the implementation of AI-based clinical decision support tools in pediatrics, which the authors of this study say will play an increasing role in healthcare.

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Google Health hires FDA vet for strategy position

Bakul Patel is Google Health's new senior director of global digital health strategy & regulatory affairs. 

breast cancer screening mammography

Malignant architectural distortion ably diagnosed on breast imaging by human-AI combo

Combining ensemble AI models with reads from breast radiologists of mixed experience levels can help health systems consistently diagnose malignant architectural distortion on mammography.

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Hospital-based smart pacifier could eliminate infant blood draws

“We know that premature babies have a better chance of survival if they get a high quality of care in the first month of birth,” Jong-Hoon Kim, associate professor at the Washington State University School of Engineering and Computer Science and a co-corresponding author on the study, said in a statement.

AI in cardiology

VIDEO: Getting cardiologist buy-in on artificial intelligence

Ami Bhatt, MD, the American College of Cardiology (ACC) chief innovation officer and adult congenital heart disease cardiologist at Mass General Hospital, discusses how to get physician acceptance to use artificial intelligence (AI). 

appointment agenda scheduling exam

How machine learning models can predict if patients will show up for appointments

Researchers from Boston Children’s Hospital were able to predict with 83% accuracy if patients were going to be a no-show at the time of their appointment.

 

NASA holoportation

NASA beams doctor virtually into space

Telemedicine boomed in popularity during the COVID-19 pandemic, but remote healthcare isn’t just for homebound patients––it’s also now available to astronauts.

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Around the web

Cardiovascular Business
Q&A: MedAxiom CEO explores key trends in cardiologist, cardiovascular surgeon compensation

Compensation for heart specialists continues to climb. What does this say about cardiology as a whole? Could private equity's rising influence bring about change? We spoke to MedAxiom CEO Jerry Blackwell, MD, MBA, a veteran cardiologist himself, to learn more.

Cardiovascular Business
Payment cuts and beyond: Key takeaways for cardiologists from the 2025 Medicare Physician Fee Schedule

The American College of Cardiology has shared its perspective on new CMS payment policies, highlighting revenue concerns while providing key details for cardiologists and other cardiology professionals. 

AI in Healthcare
A modest proposal to rally AI regulators around a simple game plan

As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”