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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Machine learning tool analyzes brain scan data to predict mood disorder medication responses

Previously, the algorithm was 90% accurate at predicting medical outcomes, but Georgia State University researchers believe they can do better.

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Novel PET scan timer bolsters clinicians' cancer treatment capabilities

The development measures oxygen concentrations within the body’s tissue to better understand tumors with more aggressive growth patterns.

Initiative aims to leverage technology in mitigating healthcare disparities

AI is a key part of the plan as two groups with little in common come together over health disparities that have only been worsened by the COVID-19 pandemic.

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Artificial intelligence in private practice: 5 tips from imaging giant Radiology Partners

Collaboration is crucial to a winning implementation, RP’s associate chief medical officer of clinical AI wrote recently in JACR. 

MRI scan data predicts preterm infants at risk of developmental brain issues

Diffuse white matter abnormality proved to be a strong predictor of cerebral palsy, Cincinnati Children’s Hospital Medical Center researchers found.

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Deep learning diagnoses disabling neurological condition on MRI in under 1 second

The platform—DystoniaNet—was 98.8% accurate at diagnosing the condition, and with further testing, may soon be in clinics, experts explained recently.

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‘Minutes matter’: Deep learning quickly spots stroke-causing blockages on CTA scans

Brown University researchers built their model from scratch and credited a new multiphase approach to its enhanced detection capabilities.

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Physician/AI aficionado dissects Medicare’s first agreement to pay for use of AI

Early this month CMS agreed to reimburse hospitals for using the first AI software to qualify for Medicare’s NTAP mechanism. Healthcare AI watchers have been unpacking the intricacies of the development ever since.

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