Artificial Intelligence (AI) encompasses the development of computer systems capable of tasks typically requiring human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Over time, numerous applications have emerged, with AI's integration into medicine marking a significant leap forward in healthcare delivery, diagnosis, and treatment. Among medical specialties, dermatology stands at the forefront of AI advancements, leveraging machine learning and deep learning to enhance dermatologists' abilities and improve patient care.
View Article and Find Full Text PDFPurpose: The objective of this study was to conduct a comprehensive assessment of MLKI outcome studies in order to ascertain the overall rates of return to sport following MLKI.
Methods: A systematic review was conducted based on the PRISMA guidelines. Quality assessment of the systematic review was performed using the MINORS Score.
Purpose: To examine the effects of tourniquet use in arthroscopic anterior cruciate ligament reconstruction in terms of (1) intraoperative visualization, (2) surgical time, (3) consumption of sterile saline, and (4) postoperative pain.
Methods: In this prospective randomized clinical trial, patients were assigned to Tourniquet Group or No Tourniquet treatment groups. The primary outcomes were intraoperative visualization, with scores ranging from 0 to 10 (0 = no visibility; 10 = clear and perfect display), surgical time, and the consumption of sterile saline.