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

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]), ...

This is an ASCO Meeting Abstract from the 2024 ASCO Annual Meeting I. This abstract does not include a full text component.

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 ...

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 ...

Approximately 20% to 30% of men with prostate cancer experience disease recurrence within 5 years of therapeutic intervention. 1 A key challenge in managing these patients is a scarcity of accurate ...

Please provide your email address to receive an email when new articles are posted on . Researchers at Massachusetts General Hospital and Harvard Medical School have developed machine learning-based ...

Nephrolithiasis is one of the most common conditions affecting the kidney and is characterized by a high risk of recurrence. Thiazide diuretic agents are widely used for prevention of the recurrence ...