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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FDA developing framework for AI-based medical devices that ‘learn’ in real time

The FDA has announced that it is working toward developing a new regulatory framework for medical devices that use advanced artificial intelligence (AI) algorithms.

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AI-powered triage software for mammograms gains FDA clearance

CureMetrix, a La Jolla, California-based healthcare technology company, has received FDA clearance for its new AI-based triage software solution for mammography.

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AI trained on more than 1M medical images accurately detects breast cancer

Researchers have developed a new convolutional neural network (CNN) that can predict the presence of breast cancer with the accuracy of an experienced radiologist. 

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AI predicts how NSCLC patients will respond to chemotherapy

Artificial intelligence and radiomics can help specialists predict how patients with non–small cell lung cancer (NSCLC) will respond to chemotherapy, according to new research published in Radiology: Artificial Intelligence.

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5 key takeaways from a patient survey about AI in radiology

What do patients think about the use of artificial intelligence (AI) in radiology? A new study published in the Journal of the American College of Radiology addressed that very question.

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Book on AI highlights radiology’s new role

Deep Medicine, a new book from cardiologist Eric Topol, MD, explores the evolving relationship between artificial intelligence (AI) and healthcare. The New York Times interviewed Topol about the book, and AI’s impact on radiology was one of the first topics that came up.

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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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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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