Publications by authors named "Mohamed AlAteeq Aldosari"
Article Synopsis
- The review aimed to evaluate how reliable AI predictive models are for determining the correct implant sizes during total knee arthroplasty (TKA).
- Four studies involving over 34,500 patients were analyzed, showing that AI models could predict femoral and tibial component sizes with high accuracy, ranging from 88.3% to 99.9%.
- The findings indicate that AI can be a reliable tool in TKA planning, but further research is needed to understand its effects on patient care and costs.
Correlation between anthropometric measurements and graft size in anterior cruciate ligament reconstruction: a systematic review and meta-analysis.
Loay A Salman Isam Sami Moghamis Ashraf T Hatnouly Harman Khatkar Mohanad Mutasem Alebbini Mohamed AlAteeq Aldosari
Eur J Orthop Surg Traumatol
January 2024
Purpose: This systematic review and meta-analysis aimed to investigate the correlation between anthropometric measurements and graft size in anterior cruciate ligament (ACL) reconstruction.
Methods: A systematic search of Ovid MEDLINE, Embase, and Cochrane Library databases was conducted for observational studies published until March 2023 that reported the relationship between anthropometric data [height, weight, body mass index (BMI), age, gender, thigh length, and circumference] and ACL graft size. Correlation coefficients (COR) and their associated 95% confidence intervals were used as the primary effect size.