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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$3.5M granted to develop robotic system to treat brain tumors

The National Institutes of Health has awarded a $3.5 million grant to help researchers develop a robotic system that “destroys” metastatic brain tumors with high-intensity therapeutic ultrasound and real-time imaging.

AI robots making big impact in elderly care

Artificial intelligence (AI) is changing the way healthcare providers care for elderly patients through a variety of new AI-powered solutions. One tool that’s making a big splash in the field is the robotic helper, according to a report by Forbes.

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AI robots to help reduce emergency room wait times

A University of Toronto professor believes artificial intelligence (AI) and robotics will play a key role in streamlining healthcare delivery for patients, and hopes a new AI robot can lead the way.

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Mayo Clinic teams up with VR training platform

The Mayo Clinic in Rochester, Minnesota, is partnering with FundamentalVR, a virtual reality (VR) training and data analysis technology platform in London, to develop several surgical VR simulation and educational products.

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Scripps, Nvidia partner to promote use of AI with digital health sensors

Technology company Nvidia is partnering with the Scripps Research Transitional Institute in a push to apply artificial intelligence (AI) with digital health sensor data.

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Mayo Clinic, Eko to develop machine-learning based algorithm to detect heart diseases

The Mayo Clinic and healthcare device company Eko plan to develop technology that uses machine-learning to help physicians better detect easily-missed heart diseases in patients.

UH Cleveland

Rethinking Image Sharing: Cleveland Trailblazers Link 20+ Hospitals and Provider Sites

Sponsored by Sectra

Cleveland is yet again blazing new ground in healthcare. This time, myriad health systems are actively collaborating to share images. A first for the U.S., we believe. University Hospitals Health System (UH) is leading the charge that now includes more than two dozen hospitals, providers sites and health systems and counting. Here’s how they did it.

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Duke University Hospital launching AI system to treat sepsis patients

The growth of artificial intelligence (AI) isn’t going unnoticed, and Duke University Hospital is the latest healthcare organization using it to help treat patients. The North Carolina-based hospital recently announced its launching a new AI-system that can identify sepsis cases, according to a report by IEEE Spectrum.

Around the web

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.

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. 

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.”