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Dermatologists urged to be more involved in AI research

Dermatologists need to be more involved in the development of AI technologies designed to evaluate skin cancer, according to a new analysis published in the Journal of the American Academy of Dermatology.

  • Read more about Dermatologists urged to be more involved in AI research

New VR software teaches young athletes about concussions

TeachAids, a nonprofit organization focused on health education, has launched a new virtual reality (VR) program that teaches young athletes how to play safe and properly diagnose and treat a concussion.

  • Read more about New VR software teaches young athletes about concussions

Applying AI to chest x-rays improves care for congenital heart disease

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?

Deep learning-based analysis of chest x-rays can be used to predict the pulmonary to systemic flow ratio of patients with congenital heart disease, according to a new study published in JAMA Cardiology.

  • Read more about Applying AI to chest x-rays improves care for congenital heart disease

Competing realities: AR on way to surpassing VR in healthcare space

Virtual reality

Both virtual reality (VR) and augmented reality (AR) are on their way to playing key roles in the delivery of healthcare—but AR may have the brighter future.

  • Read more about Competing realities: AR on way to surpassing VR in healthcare space

Automated analysis tool assesses thyroid nodules as well as radiologists

Cheryl Petersilge, MD, MBA, with the department of regional radiology at the Cleveland Clinic, examined enterprise imaging—and how radiologists must integrate and collaborate with other departments. Her clinical perspective clinical perspective was published online in the October issue of the American Journal of Roentgenology.

Researchers have developed a new quantitative framework that evaluates thyroid nodules at a level comparable to two expert radiologists.

  • Read more about Automated analysis tool assesses thyroid nodules as well as radiologists

How AI can reduce modern slavery, human trafficking throughout the world

sad crying man

AI’s potential impact on healthcare is largely measured in patient outcomes, cost savings and workflow improvements, but the technology could also be used to rid the world of some of its most shocking behavior: the devastating practice of modern slavery.

  • Read more about How AI can reduce modern slavery, human trafficking throughout the world

How US could fall behind China in AI development

The United States is still viewed as the world’s leader in researching and developing AI solutions—but could that reputation be at stake?

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Partnership aims to bring AI imaging solutions to Africa

Oxipit, a Lithuania-based medical imaging solutions manufacturer, and Healthcare Konnect, a Swiss distribution company, have announced a new partnership focused on delivering AI imaging solutions to Nigeria.

  • Read more about Partnership aims to bring AI imaging solutions to Africa

How AI reduces radiation dose, but not quality, of key imaging findings

What should radiology be expending, in manpower as well as money, to help make medical imaging accessible to and from every clinical department? And what’s in enterprise imaging for radiology, anyway?

Deep learning-based reconstruction (DLR) can reduce the radiation dose associated with low-dose chest and abdominal CT scans without sacrificing image quality, according to a new study published in the American Journal of Roentgenology.

  • Read more about How AI reduces radiation dose, but not quality, of key imaging findings

3 eye-opening findings from AI in Healthcare’s 2020 Leadership Survey

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.

Some findings from AI in Healthcare’s 2020 Leadership Survey deserve additional attention.

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