Itinai.com light and shadow chase in a bright biomedical labo ad12232e 48e7 4335 b615 18ed42101be9 2
Itinai.com light and shadow chase in a bright biomedical labo ad12232e 48e7 4335 b615 18ed42101be9 2

Clinical efficacy and safety of transvaginal natural orifice transluminal endoscopic surgery for benign adnexal disease: a prospective trial

Clinical Trial Results: Transvaginal Natural Orifice Transluminal Endoscopic Surgery for Ovarian Cysts

Key Findings

The study aimed to assess the safety and feasibility of using transvaginal natural orifice transluminal endoscopic surgery (vNOTES) for managing ovarian cysts. The results showed that vNOTES was not inferior to conventional laparoscopy (CL) in terms of adnexectomy or ovarian cystectomy. vNOTES was found to be a safe, feasible, and less invasive treatment option, leading to reduced postoperative pain, faster recovery, and absence of visible incisions.

Practical Solutions and Value

These findings highlight the potential of vNOTES as a more minimally invasive surgical approach, offering practical benefits such as reduced postoperative pain, faster recovery, and no visible incisions. This suggests that vNOTES can be a valuable treatment option for patients with ovarian cysts.

AI-Driven Clinical Support

DocSym, an AI-driven platform, consolidates ICD-11 standards, clinical protocols, and research into a single, easily accessible knowledge base for clinicians, extending the benefits of clinical trials into everyday medical practice.

Streamlining Healthcare Operations

Mobile apps from DocSym support scheduling, monitoring treatments, and telemedicine, making it easier to manage patient care and expand services digitally, thus streamlining healthcare operations in today’s environment.

Enhancing Workflows with AI

By utilizing AI, clinics can enhance their workflows, improve patient outcomes, and reduce paper routines. Learn more about how AI can help clinics at aidevmd.com.

AI-Powered Health Tools

Interactive AI Tools to Help You Understand Your Health

Solutions for Smart Healthcare

Clinical Research