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http://dx.doi.org/10.1016/j.tjog.2015.06.005 | DOI Listing |
Best Pract Res Clin Anaesthesiol
September 2024
Department of Anesthesiology, University Hospital Leuven, Belgium.
Caesarean delivery is the most performed inpatient surgery worldwide, with rates expected to rise. Optimising maternal recovery benefits not only the mother, but also the newborn and society. Enhanced Recovery After Caesarean delivery (ERAC) protocols standardize the approach to perioperative management of patients in order to accelerate early postoperative maternal rehabilitation.
View Article and Find Full Text PDFInt J Med Robot
February 2025
Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Background: The emergence of telesurgery has received global interest, with secure network transmission identified as a crucial determinant of its success. This study aimed to evaluate the safety and viability of employing quantum cryptography communication in remote partial nephrectomy.
Methods: The surgeon operated on the patient from a distance of over 260 km using remote control of a surgical robot.
MedComm (2020)
January 2025
The precise mechanisms behind early embryonic arrest due to sperm-related factors and the most effective strategies are not yet fully understood. Here, we present two cases of male infertility linked to novel variants, associated with oligoasthenoteratozoospermia (OAT) and early embryonic arrest. To investigate the underlying mechanisms and promising therapeutic approaches, knock-in and knock-out mice were generated.
View Article and Find Full Text PDFHum Reprod Open
November 2024
Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Study Question: How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?
Summary Answer: AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.
What Is Known Already: Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.
Front Artif Intell
December 2024
Department of Orthopedic Hip and Knee Surgery, Rasoul-e-Akram Hospital, Iran University of Medical Sciences, Tehran, Iran.
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.
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