Objective: This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies.

Erratum: Chatbot Artificial Intelligence for Genetic Cancer Risk Assessment and Counseling: A Systematic Review and Meta-Analysis ...

Algorithms have taken on an almost mythical significance in the modern world. They determine what you see on social media and when browsing online, help form people’s belief systems, and impact the ...

Abstract: In this paper we introduce randomized branching as a tool for parameterized approximation and develop the mathematical machinery for its analysis. Our algorithms substantially improve the ...

A class action lawsuit was filed Tuesday against UnitedHealth Group and a subsidiary alleging that they are illegally using an algorithm to deny rehabilitation care ...

Obesity may be associated with increased risk of recurrence and progression in patients with non-muscle invasive bladder cancer (NMIBC), but evidence is limited and inconsistent. We examined the ...

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 ...