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 ...

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 ...

This paper describes an algorithm for maximising a conditional likelihood function when the corresponding unconditional likelihood function is more easily maximised. The algorithm is similar to the EM ...

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.

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

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