Cost-effectiveness Analysis of Uterus Transplantation versus Gestational Carrier for Treatment of Absolute Uterine Factor Infertility.

Importance: Patients with uterine factor infertility (UFI) have few options for family building. Uterus transplant is a feasible treatment for some patients; however, cost remains a significant concern.

Objective: To compare the cost effectiveness of treatment for patients with absolute uterine factor infertility to achieve 1-2 singleton births by gestational carrier or uterus transplant DESIGN: Decision analysis from the United States healthcare sector perspective, with time horizons to achieve one or two singleton births.

Acute eculizumab treatment in a pediatric patient with AQP4-IgG+ NMOSD.

Background: Neuromyelitis optica spectrum disorder (NMOSD) is a rare autoimmune disorder that occurs in children and adults.

Case: We report a case of a 10-year-old female with AQP4+ NMOSD who presented with paraparesis from longitudinally extensive transverse myelitis (LETM) from C2 to the conus medullaris. The patient showed gradual improvement in strength and sensation with solumedrol and plasma exchange therapy.

Digital twin assisted surgery, concept, opportunities, and challenges.

Computer-assisted surgery is becoming essential in modern medicine to accurately plan, guide, and perform surgeries. Similarly, Digital Twin technology is expected to be instrumental in the future of surgery, owing to its capacity to virtually replicate patient-specific interventions whilst providing real-time updates to clinicians. This perspective introduces the term Digital Twin-Assisted Surgery and discusses its potential to improve surgical precision and outcome, along with key challenges for successful clinical translation.

RGB to hyperspectral: Spectral reconstruction for enhanced surgical imaging.

This study investigates the reconstruction of hyperspectral signatures from RGB data to enhance surgical imaging, utilizing the publicly available HeiPorSPECTRAL dataset from porcine surgery and an in-house neurosurgery dataset. Various architectures based on convolutional neural networks (CNNs) and transformer models are evaluated using comprehensive metrics. Transformer models exhibit superior performance in terms of RMSE, SAM, PSNR and SSIM by effectively integrating spatial information to predict accurate spectral profiles, encompassing both visible and extended spectral ranges.