Artificial Intelligence Boosts MRI Detection of ADHD

Deep learning, a type of artificial intelligence, can boost the power of MRI in predicting ADHD

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Study Looks at Deep Radiomics Approach for Diagnosing Osteoporosis on Hip X-Rays

Deep radiomics models that included deep learning features had a 40 percent or greater increase in the specificity rate for diagnosing osteoporosis on hip radiographs in comparison to models that only emphasized clinical and/or textural features.

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PE Triage Platform from RapidAI Receives FDA 510(k) Clearance

The new artificial intelligence-powered software reportedly helps detect central pulmonary embolism (PE) on computed tomography pulmonary angiogram (CTPA) images and streamlines communication among interventional teams to bolster treatment outcomes.

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Study Finds No Difference Between Digital Breast Tomosynthesis and Digital Mammography in Cancer Detection for BI-RADS 4 Lesions

In a study of over 11,500 patients who had BI-RADS 4 breast lesions with no prior history of breast cancer, researchers found no statistically significant differences between digital mammography and digital breast tomosynthesis in cancer detection rates or biopsy-derived positive predictive value.

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AI May Bolster Assessment of Pulmonary Nodules on Chest CT

A new study revealed that an emerging artificial intelligence (AI)-enabled software tool led to improved sensitivity, specificity and inter-observer agreement for the diagnosis of indeterminate pulmonary nodules on chest computed tomography (CT) scans.

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Is Digital Breast Tomosynthesis Superior to Digital Mammography?

A closer look at the literature suggests the combination of digital breast tomosynthesis (DBT) and two-dimensional (2D) digital mammography (DM) has relatively equivalent cancer detection rates as using DM alone, according to a recent presentation at the Society of Breast Imaging (SBI)/American College of Radiology (ACR) conference.

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