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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AI drops DBT workloads for radiologists by 40% while also reducing recalls

The model did miss four cancers, prompting one expert to question if radiologists could ever trust a tool knowing it wasn't 100% accurate.

Transparent AI platform shows radiologists its decision-making blueprint for diagnosing breast cancer

“This is what transparency in medical imaging AI could look like and what those in the medical field should be demanding for any radiology challenge,” said a Duke University professor involved in the project.

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Stand-alone AI for lung cancer screenings could reduce radiologist workloads by 86%, study suggests

Artificial intelligence used as an independent reader produced fewer negative misclassifications compared to five experienced radiologists.

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Machine learning combined with PET/CT can predict heart attack risk

“We showed that risk prediction does not depend on cardiovascular risk scores, stenosis severity or CT calcium scoring," researchers said in the Journal of Nuclear Medicine.

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Nanox touts new AMA CPT code as ‘validation’ of its cardiac imaging platform

The category 3 code will establish a new reimbursement pathway for radiologists to use the AI-driven coronary artery calcium solution, the Israeli company said.

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How radiologists can avoid becoming ‘invisible’ in the artificial intelligence era

Specialists must redefine their clinical identity and steer the upcoming technological revolution, experts underscored recently.

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Lack of transparency in FDA-regulated AI and ML imaging software has doctors concerned

Only 9 of the 118 AI-related devices regulated by the FDA included validation datasets of over 1,000 patients.

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Junior and senior radiologists benefit from AI assistance when identifying pulmonary nodules

Less experienced radiologists' accuracy for detecting nodules improved by 6.4% with AI help, according to a new study published in JAMA Network Open.

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