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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Welcome to The Age of Intelligence: Matching Mind and Machine

Sponsored by Pure Storage

Artificial intelligence (AI) is rewiring the way we think about healthcare. And rewiring the way doctors predict, diagnose and treat disease, how exams are carried out and how health systems are run. Is AI a game-changer? Absolutely, and the game is changing a lot faster than many think.

Machine learning IDs dangerous bacterial strains

A team from the Wellcome Sanger Institute in the United Kingdom, the University of Otago in New Zealand and the Helmholtz Institute for RNA-based Infection Research in Germany has developed a machine learning tool capable of detecting strains of salmonella before they cause bloodstream infections. Findings were published May 8 in PLOS Genetics.

Could AI, computer vision help modify—and improve—physician behavior?

Stanford researchers, who have previously witnessed artificial intelligence (AI) performing on par with board-certified dermatologists, are turning to computer vision to ensure patient safety and improve physician hygiene.

Consumers more comfortable with AI in healthcare than banking, retail

Consumers are most comfortable with artificial intelligence (AI) when its used in the healthcare when compared to banking or retail, according to a survey conducted by SAS.

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Apple hires Google’s chief of search and AI

Apple has hired John Giannandrea, Google’s chief of search and artificial intelligence (AI), to run their machine learning and AI strategy, according to the New York Times.

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AI uses wearable data to predict biological age

Researchers from GERO, a longevity biotech company, and the Moscow Institute of Physics and Technology (MIPT) have developed an artificial intelligence (AI) system that uses physical data collected from wearables to develop digital biomarkers of aging and fragility. Findings were published March 26 in Scientific Reports.

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AI personalizes touchscreen interface for use by those with impairments

Researchers at Aalto University in Finland and Japan's Kochi University of Technology have developed an artificial intelligence (AI) that takes individual patient difference into account to optimize a user interface. Findings were published March 15 in IEEE Pervasive Computing Journal.

21% of healthcare employees worry about job security due to AI

In healthcare, 21 percent of employees are concerned about their job security due to the adoption of robotics and artificial intelligence (AI), according to a survey conducted by MindEdge.

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.”