A diagnostic algorithm for classifying chronic rhinosinusitis demonstrated utility in determining refractoriness and recurrence risk for the condition, according to recent findings. Shigeharu Fujieda, ...

The automatic rule-based recurrence detection algorithm (Auto-Recur), using notes on image reading (positron emission tomography-computed tomography [PET-CT], CT, magnetic resonance imaging [MRI]), ...

Predictions for identifying 1-year seizure recurrence performed significantly better in electroencephalography (EEG) without interictal epileptiform discharges. An automated processing algorithm ...

WEST LAFAYETTE, Ind. — A Purdue University professor and several international researchers have developed a new method and algorithm that can predict the recurrence of prostate cancer in patients ...

June 22, 2010 (Boca Raton, Florida) — Measuring the coefficient of variation (CV) in the ratio between the level of lithium in the serum and the dose of lithium (L/D ratio) that has actually been ...

Omitting race and ethnicity from colorectal cancer (CRC) recurrence risk prediction models could decrease their accuracy and fairness, particularly for minority groups, potentially leading to ...

Researchers have developed a new AI-powered algorithm to help understand how different cells organize themselves into particular tissues and communicate with one another. Researchers from Children's ...