We previously developed and validated informatic algorithms that used International Classification of Diseases 9th revision (ICD9)–based diagnostic and procedure codes to detect the presence and ...

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

Researchers have proposed a machine-learning algorithm for personalized treatment selection in patients with recurrent hepatocellular carcinoma, based on data published in JAMA Surgery. &ldquo ...

Using billing or treatment codes to select patients with recurrent cancer can be misleading for researchers hoping to study the effectiveness of treatments, according to a study published recently ...

As the onset of cancer recurrence is not explicitly recorded in the electronic health record (EHR), a high volume of manual chart review is required to detect the cancer recurrence. This study aims to ...

Mayo Clinic researchers in Phoenix used artificial intelligence to create an algorithm to better predict colorectal cancer recurrence, according to a multinational study published in Gastroenterology.

Purdue professor, several international researchers develop algorithm to predict recurrence of prostate cancer.

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

Colorectal cancer risk recurrence models that omit race/ethnicity may result in worse prediction accuracy for minority groups, potentially leading to inappropriate care.