The role of artificial intelligence in preoperative planning for Total Hip Arthroplasty: a systematic review.

Background: Total Hip Arthroplasty (THA) is a transformative surgical intervention for hip joint disorders, necessitating meticulous preoperative planning for optimal outcomes. With the emergence of Artificial Intelligence (AI), preoperative planning paradigms have evolved, leveraging AI algorithms for enhanced decision support and imaging analysis. This systematic review aims to comprehensively evaluate the role of AI in THA preoperative planning, synthesizing evidence from studies exploring various AI techniques and their applications.

The efficacy of tranexamic acid in perioperative bleeding following total hip arthroplasty through different surgical approaches: Systematic review and meta-analysis.

Introduction: Tranexamic acid (TXA) has been documented to reduce perioperative blood loss following orthopedic surgeries, such as total hip arthroplasty (THA). Previous studies focused on the best applicable dose and administration method to minimize blood loss. Although the surgical approach is another factor that may influence perioperative bleeding, no previous research has examined its concurrent impact alongside TXA.

Predicting overall survival in anaplastic thyroid cancer using machine learning approaches.

Purpose: Anaplastic thyroid carcinoma (ATC) is a highly aggressive and lethal thyroid cancer subtype with a poor prognosis. Recent advancements in machine learning (ML) have the potential to improve survival predictions. This study aimed to develop and validate ML models using the SEER database to predict 3-month, 6-month, and 12-month (overall survival) OS in ATC patients.