Precision Medicine

Also called personalized medicine, this evolving field makes use of an individual’s genes, lifestyle, environment and other factors to identify unique disease risks and guide treatment decision-making.

Google opens its first AI lab in Africa

Google has opened its first African-based AI lab in Accra, Ghana, CNN reported April 15.

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CNN, transfer learning automates EMR data input

Researchers at the University of Washington have developed a method for streamlining electronic medical record (EMR) data entry using convolutional neural networks (CNNs) and transfer learning, according to a paper published April 12 in Artificial Intelligence in Medicine.

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Novel AI agent can rationalize its actions

An AI agent developed at the Georgia Institute of Technology automatically generates natural language explanations in real-time to explain the motivations behind its actions, ideally allowing those who aren’t experts in the field to interact with AI tools more confidently.

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One-third of cancer patients try alternative treatments, and many don’t tell their doctors

Some 33.3% of cancer patients add their own alternative treatment regimen to whatever conventional cancer care they’re receiving—and almost 30% of those don’t tell their doctors they’re doing so.

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Precision medicine and AI: Made for each other

As precision medicine transforms disease treatment into a patient-by-patient art and science, AI is poised to help quickly identify or even predict genetic mutations, pointing the way to highly targeted therapies.

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1st AI-enabled radiation reduction solution for X-rays cleared by FDA

Omega Medical Imaging’s FluoroShield gained FDA clearance this month, becoming the first AI-enabled radiation reduction technology to hit the market.

 

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94% of diagnostic AI studies don’t adequately validate results

The majority of recent journal studies evaluating the performance of AI algorithms failed to adequately validate test results, according to a meta-analysis published in the Korean Journal of Radiology, meaning most of that research can only serve as proof-of-concept and might not translate into clinical performance.

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The ‘disruptive dozen’: 12 AI technologies positioned to make the greatest impact in 2019

AI is poised to make a sizable impact on healthcare this year, but we’ll likely see the greatest dent in the areas of medical imaging, diagnostics and suicide risk prediction, according to data presented at the Partners HealthCare World Medical Innovation Forum in Boston.

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.”