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 ...

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

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 ...

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 ...

Please provide your email address to receive an email when new articles are posted on . A diagnostic algorithm for classifying chronic rhinosinusitis demonstrated utility in determining refractoriness ...

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

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. An automated processing algorithm ...

Helsinki, Finland - A new risk model developed by European researchers is able to accurately predict vascular events, including stroke, MI, and vascular death, in patients with existing clinical ...

Identifying Women at High Risk for Breast Cancer Using Data From the Electronic Health Record Compared With Self-Report Using publicly available translation tables along with clinician and other ...