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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Most AI research focused on radiology lacks external validation

Most researchers exploring the performance of artificial intelligence (AI) in radiology aren’t validating their results, according to a new study published by the Korean Journal of Radiology.

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A majority of AI studies don’t adequately validate methods

Authors of the research, published in the Korean Journal of Radiology, analyzed 516 published studies and found only six percent (31 studies) externally validated their AI.

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Kinematic 4D-CT may help diagnose subtalar joint pain

Kinematic quantitative 4D CT can help differentiate patients with subtalar joint stiffness and chronic ankle instability, reported authors of a March 5 study published in the European Journal of Radiology. The technique may better personalize care for patients with ankle joint pain.

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Spider silk shows promise as component of robotic muscles

A recently discovered property of spider silk known as supercontraction could one day comprise a key building block of artificial muscles and robotic actuators, according to research published March 1 in Science Advances.

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AI challenges radiologists at detecting breast cancer

An AI approach developed by Dutch researchers performed similarly to radiologists at detecting breast cancer, according to a multi-center, multi-dataset study published March 5 in the Journal of the National Cancer Institute.

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AI detects breast cancer as well as most radiologists

Artificial intelligence (AI) systems can achieve a cancer detection accuracy similar to that of an average breast radiologist, according to new findings published by the Journal of the National Cancer Institute.

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4D CT accurate for preoperative parathyroid imaging

The research team also found combining 4D CT and technetium-99m sestamibi SPECT/CT did not improve diagnostic performance compared to 4D CT alone.

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Imaging techniques provide insight into speech development

Individual language is significantly impacted by what we hear, and a team of researchers from New York University used various imaging methods to determine that our brain’s pathways play a central role in speech development.