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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'Simply not replicable': Radiologists superior to AI despite prophecies that robots would replace them

"It is quite possible that what physicians and other health professionals know and can do is not replicable in digital terms," experts wrote in a new Academic Radiology editorial.

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Deep learning rivals fellowship-trained radiologists at segmenting breast cancers on MRI

Researchers trained their platforms on more than 60,000 individual breast scans, significantly more than most architectures.

Staged cyberattack altering mammography images deceives both AI and radiologists

If artificial intelligence software makes a false prediction it can lead to harmful consequences for patients, providers and insurers, experts from the University of Pittsburgh cautioned.

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Stand-alone AI can reduce radiologists’ screening mammography workloads by 90%

The technique may also prove cost-effective if radiologists are free to only focus on AI-recalled findings.

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Machine learning uses MRI to predict lymphovascular invasion in breast cancer patients

These algorithms could fill in where postoperative biopsy sometimes falls short, experts explained in Academic Radiology.

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Advanced 3D imaging uncovers insights about prostate cancer aggressiveness

University of Washington in Seattle researchers plan to perform larger clinical studies that they believe will benefit many other patients.

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‘Important step forward’: Automated echo scores vary less than sonographers’ measurements

This study brings light to the prospect of a "fully automated solution" for echocardiogram analysis, experts reported.

New machine learning model double-checks its own work for unpredictability on breast cancer imaging

Experts noted a "significant" reduction in false positives and false negatives using their modified machine learning model.

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