Results 81 to 90 of about 24,934 (216)
Editorial: Reviews in pediatric urology 2024. [PDF]
Chowdhary SK.
europepmc +1 more source
Little is known about how patients with anorectal malformations (ARMs), their caregivers and healthcare providers perceive and experience transition from pediatric to adult care (transition of care) in low‐ and middle‐income countries. This study aimed to explore the perceptions and experiences of young adults, adolescents, their caregivers, and ...
Leila Hartford +3 more
wiley +1 more source
Two decades of robotic pediatric urology: a single-surgeon evolution from adoption to excellence. [PDF]
Gundeti MS, Fu D, Hajiyev P, Yadav P.
europepmc +1 more source
Implementation of remote robotic‐assisted surgery (rRAS) has the potential to significantly improve access to high‐quality surgical care for patients worldwide. Advances in robotic systems and telecommunications now enable highly reliable, low latency, and cybersecure connectivity. These technological developments, together with the broader adoption of
Yuman Fong +50 more
wiley +1 more source
Doctor-Led VR and Medical Games for Perioperative Fear in Pediatric Urology: A Retrospective Cohort Study. [PDF]
Zhang F, Huang H, Zheng S, Jin M.
europepmc +1 more source
Diagnostic Challenges in Pediatric Urology: A Case Report and Literature Review on Hourglass Bladder. [PDF]
Comisi FF +3 more
europepmc +1 more source
Training Global Leaders in Perioperative Equity: An Evaluation of the CHESA Fellowship
The CHESA Fellowship represents an innovative model for training future leaders in global perioperative equity. Our remote, multidimensional format effectively drives research productivity, mentorship, and cross‐border partnerships while remaining accessible for trainees worldwide.
Hudson Lin +15 more
wiley +1 more source
Managing gynecological issues in pediatric urology patients. [PDF]
Rangasamy A, Latthe PM.
europepmc +1 more source
Text mining for case report articles on “peritoneal dialysis” from PubMed database
Abstract Introduction The number of published medical articles on peritoneal dialysis (PD) has been increasing, and efficiently selecting information from numerous articles can be difficult. In this study, we examined whether artificial intelligence (AI) text mining can be a good support for efficiently collecting PD information.
Kazuhiko Fukushima +6 more
wiley +1 more source

