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. 

Novice medical professionals perform diagnostic quality echocardiograms with AI guidance 

AI helps novice medical assistants perform high-quality echocardiograms

In a blind pilot study, inexperienced users successfully captured images for 100% of patients using AI guidance.

lung cancer pulmonary nodule

Pulmonary embolism AI cleared

A Silicon Valley AI shop has been OK’d by the FDA to market software that automatically flags suspected pulmonary embolisms (PEs) and immediately notifies physicians.

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Mammography AI intercepts density overestimations

Researchers have demonstrated a deep learning model that can correct course for breast radiologists who otherwise may have erroneously deemed tissue dense in screening exams.

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10 clues suggest scope, shape of AI’s future in mammography

Computer-aided detection boosted by AI has often proven superior to traditional CAD over the past decade, yet the “new way” has been slow to win broad adoption.

Deep learning algorithm predicts emphysema mortality

Authors of the study noted that using the algorithm eliminates the issue of subjectivity and time-consuming visual assessments of emphysema.

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Google Health hires FDA vet for strategy position

Bakul Patel is Google Health's new senior director of global digital health strategy & regulatory affairs. 

AI mammography, prostate imaging algorithms cleared for market

The FDA has OK’d two subsidiaries of Los Angeles-based RadNet to sell medical AI software—one product for diagnosing breast cancer, the other for streamlining MRI prostate reporting workflows. 

breast cancer screening mammography

Malignant architectural distortion ably diagnosed on breast imaging by human-AI combo

Combining ensemble AI models with reads from breast radiologists of mixed experience levels can help health systems consistently diagnose malignant architectural distortion on mammography.