Elon Musk recently disclosed the algorithm behind the content recommendation system of his social media platform, X (formerly ...

Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...

Abstract: This paper presents an innovative computational framework that combines systematic literature review methodology with machine learning techniques to analyze Foundation Models (FMs) ...

TikTok’s algorithm favors mental health content over many other topics, including politics, cats and Taylor Swift, according to a Washington Post analysis. At first, the mental health-related videos ...

For the first time, Instagram will start letting you control the topics its algorithm recommends, much as you now can on TikTok. The new feature is starting with the Reels tab but will eventually come ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

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.

Modern consumer brands are confronting an uncomfortable truth: the products they once made for retail shelves often fail online. The search behavior, recommendation engines, AI assistants, and ...