Which is more important when working with healthcare AI detection: that it never misses something on a patient scan, or that it never identifies something that isn’t there? In other words, which ...

Meta-analysis of diagnostic test accuracy studies is an increasingly pivotal approach in evidence-based medicine, enabling the synthesis of data from multiple investigations to assess the performance ...

AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...

Please provide your email address to receive an email when new articles are posted on . A blood-based test demonstrated efficacy and high specificity in detecting multiple cancer types with diverse ...

Meta-analysis showed LUS and CXR were similar in diagnosing pediatric community-acquired pneumonia, with LUS having higher sensitivity and similar specificity. Lung ultrasound (LUS) is as effective as ...

Frailty and vulnerability screening tools used in emergency departments (EDs) had high sensitivity but low specificity for predicting adverse outcomes among older adults, limiting their standalone ...

Histopathology is the gold standard in cancer diagnosis. However, attenuated total reflectance (ATR)-Fourier transform infrared (FTIR) spectroscopy has shown diagnostic potential in other settings.

Princeton University and collaborators have developed SHINE-TB, a one-sample, parallelized reaction amplification and detection CRISPR assay that detects Mycobacterium tuberculosis directly from ...