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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Singapore combatting coronavirus with AI-powered screening system

A new AI-powered temperature screening system is hitting the streets of Singapore to help fight against the ongoing coronavirus (COVID-19) outbreak.

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New ‘time machine’ tracks pancreatic cancer growth

Researchers have developed a new “time machine” capable of mimicking the behavior of pancreatic cancer, sharing their findings in Small.

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Making history: First AI-developed drug to be tested in human trials

DSP-1181, a pharmaceutical drug created by AI technology, has entered phase 1 clinical trials in Japan. This is the first time an AI-made drug has reached this point in the development process.

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Meet the robot that draws blood better than humans

In the near future, patients may have their blood drawn and tested by an advanced robot—and it’s a move that would benefit both patients and healthcare providers.

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Blockchain-managed healthcare records? Patients love it, physicians are skeptical

Blockchain technology is starting to gain popularity in the healthcare industry due to its ability to keep data safe and secure. So what do physicians and patients think about this growing trend?

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4 key ways blockchain can help health systems

Healthcare researchers are focusing more and more on the potential benefits of blockchain technology, a trend explored by the authors of a new analysis in the International Journal of Medical Informatics.

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AI tech behind deepfake videos creates bogus imaging results—and it could be big for radiology

Generative adversarial networks (GANs), a fairly new breakthrough in AI, are capable of creating fake images that look incredibly real.

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Some robots battling spread of coronavirus may not be needed

Numerous robots have been used by healthcare workers battling the ongoing Wuhan coronavirus outbreak—but is such a precaution always necessary?

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.”