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 ...

Please provide your email address to receive an email when new articles are posted on . Researchers have proposed a machine-learning algorithm for personalized treatment selection in patients with ...

Using artificial intelligence (AI), researchers have developed an algorithm that can help improve the prediction of colorectal cancer (CRC) recurrence. The QuantCRC algorithm can identify 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 ...

Researchers developed an artificial intelligence algorithm to potentially improve the prediction of colon cancer recurrence, which may help patients receive the appropriate treatment. Predicting ...

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.

A Purdue University mechanical engineer and his international collaborators have developed a patent-pending method and algorithm to predict the recurrence of prostate cancer in patients treated by ...

FRIENDSWOOD, Texas--(BUSINESS WIRE)--Castle Biosciences, Inc. (Nasdaq: CSTL), a company applying innovative diagnostics to inform disease management decisions and improve patient outcomes, today ...

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

Using publicly available translation tables along with clinician and other expertise, we updated the algorithms to include ICD10 codes as additional input variables. We evaluated the performance of ...