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. 

Microsoft introduces Cortana Intelligence Institute

Microsoft has introduced the establishment of the Cortana Intelligence Institute, a collaboration among Microsoft Research, Cortana Research and RMIT University that aims to improve the artificial intelligence (AI) capabilities of Microsoft’s digital assistant Cortana.

Computer reads brain activity to ID the song a patient is listening to

Researchers from the D'Or Institute for Research and Education have used machine learning to train a computer to identify what song a participant is listening to by analyzing brain activity. The study, published in Scientific Reports, aims to advance brain decoding for future communication with patients without spoken words.

Harvard startup creates AI health coach to improve communication

Memora Health, a startup led by a Harvard Medical School student, has developed an artificial intelligence (AI) health coach to help answer patient questions after returning home from the hospital.

Google develops AI to predict medical outcomes

Artificial intelligence (AI) researchers at Google have developed an AI system capable of predicting patient’s medical outcomes once admitted to the hospital.

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AI predicts early onset of sepsis

Researchers from Emory University in Atlanta have developed an artificial intelligence (AI) algorithm capable of predicting the onset of sepsis, according to a study published in Critical Care Medicine.

AI IDs patients in need of palliative care

Scientists at Stanford University have developed an artificial intelligence (AI) algorithm capable of predicting when patients will die with a goal of improving access to palliative care.

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Virtual reality helps ID brain areas involved in memory

Neuroscientists have used virtual reality to gain insight into how the brain assembles memory, according to a study published in Nature Communications.

CLEW Medical unveils its AI predictive platform, leveraging untapped patient data to provide actionable tracking for patients at risk

CLEW Medical, formerly known as Intensix, is launching its AI predictive-analytics platform to prevent life threatening complications in all care settings, using real-time data and machine learning technology. Already proven in the ICU, CLEW’s platform provides medical staff and healthcare administrators with actionable clinical, operational and financial insights to streamline medical care.

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.”