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Researchers awarded $1.2M to study effects of AR-based medical training

Researchers from the University of California Irvine (UCI) School of Medicine have received $1.2 million to study the potential psychological impact of augmented reality (AR) medical simulation training.

  • Read more about Researchers awarded $1.2M to study effects of AR-based medical training

Aidoc’s AI solution for LVOs gains FDA clearance

Aidoc announced Monday, Jan. 13, that its AI solution for detecting large-vessel occlusions (LVOs) in head CTA examinations has gained FDA clearance.

  • Read more about Aidoc’s AI solution for LVOs gains FDA clearance

Can VR play a valuable role in medical imaging training?

Students can use virtual reality (VR) training to learn about radiographic hand positioning skills, according to a new study published in Radiography. How would this compare to other training techniques?

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Cardiology AI specialists raise $15M

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Cardiologs, a cardiology diagnostics company with offices in Paris and Boston, has raised $15 million in Series A funding.

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Exploring EMR data reveals effective treatment patterns

Tablet projecting metaphorical medical hologram

Exploring electronic medical records (EMRs) can help healthcare providers learn more about typical treatment patterns for specific situations, according to new findings published in Artificial Intelligence in Medicine.

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What can patents teach us about the potential impact of AI?

As artificial intelligence (AI) adoption expands in radiology, there is growing concern that AI algorithms needs to undergo quality assurance (QA) reviews. How to validate radiology AI? How can you validate medical imaging AI?

Researchers have found a new way to predict AI’s impact on the U.S. workforce: paying close attention to patents.

  • Read more about What can patents teach us about the potential impact of AI?

Effective AI: Deep learning able to differentiate small solid renal masses

Damaged Organ

Deep learning could potentially assist healthcare providers with the evaluation of small renal masses detected on certain contrast-enhanced CT exams, according to a new study published in the American Journal of Roentgenology.

  • Read more about Effective AI: Deep learning able to differentiate small solid renal masses

Machine learning use in healthcare still limited to proof-of-concept studies

Artificial intelligence (AI) has been one of the biggest stories in healthcare for years, but many clinicians still remain unsure about how, exactly, they should be using AI to help their patients. A new analysis in European Heart Journal explored that exact issue, providing cardiology professionals with a step-by-step breakdown of how to get the most out of this potentially game-changing technology.

Machine learning (ML) technology has gained popularity in recent years, but its use in healthcare remains largely limited to proof-of-concept academic studies, according to a new study published in Artificial Intelligence in Medicine.

  • Read more about Machine learning use in healthcare still limited to proof-of-concept studies

AI diagnoses prostate cancer as well as pathologists

Researchers have developed a deep learning system capable of evaluating tissue samples and diagnosing prostate cancer at a level comparable with many pathologists.

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Zipnosis, GYANT partner on new patient engagement solution for health systems

handshake

Zipnosis, a Minneapolis, Minnesota-based healthcare technology company, has kicked off a new partnership with GYANT, a San Francisco-based company focused on improving physician-patient communication with AI.

  • Read more about Zipnosis, GYANT partner on new patient engagement solution for health systems

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