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/radiologist combo improves breast cancer detection, decreases workloads

The new two-part AI system is based on a decision-referral approach and triages mammograms based on quantification of uncertainty.

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AI boosts accuracy when discriminating between malignant and benign ovarian tumors on MRI

Out of three trained and tested models that incorporated varying features, the model that combined clinical and radiomics features to predict malignancy exceeded the others in accuracy, precision and sensitivity.

KardiaBand outperforms Apple Watch in diagnosing AFib, but a cardiologist’s perspective is still crucial

The study's authors noted that the ECG acquisition technology in these wearable devices appears to be quite effective. The automated algorithms, however, could still be improved. 

differentiating between malignant and vaccine-related lymphadenopathy

AI model outperforms rads at distinguishing malignant from reactive lymph nodes on US

“Visual techniques are not enough to correctly classify nodes in patients after COVID-19 vaccination,” experts shared in EJR.

A narrow miss for AI trained to find pacemakers on X-rays for MRI safety

A convolutional neural network has achieved 99.67% accuracy at flagging the presence of pacemakers on chest radiographs in patients referred for MRI.

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Athenahealth launches AI tool for EHRs

The company thinks its new technology can help physicians spend more time with patients and less time filling out paperwork. 

CE mark granted for AI-based MSK interpretation aid

A Danish healthtech company has been cleared for European sales of AI software aimed at helping trauma physicians detect and classify fractures.

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RSNA puts out call for additional 'Cutting-Edge Research' abstracts ahead of annual meeting

These abstracts can be submitted to RSNA starting on July 6, 2022. Submissions will be accepted until August 3 at noon CST. 

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