Prevention of fetal growth restriction/small for gestational age (FGR/SGA) is adequate if screening is accurate. Ultrasound and biomarkers can achieve this goal; however, both are often inaccessible. This study aimed to develop, validate, and deploy a prognostic prediction model for screening FGR/SGA using only medical history.
View Article and Find Full Text PDFPurpose: To compare retinal nerve fiber layer (RNFL) thickness rates of change and their variability between two commercial optical coherence tomography (OCT) devices.
Design: Prospective cohort study.
Participants: Ninety-four glaucoma eyes (94 patients) with central damage or moderate to advanced glaucoma with ≥2 years of follow-up and ≥4 pairs of OCT scans.
This study develops and evaluates quantitative metrics to assess surgical dexterity within virtual reality (VR) simulations to enhance surgical training and performance. By employing advanced VR technology, this research systematically investigates the influence of controlled experimental factors-posture, handedness, and visual magnification-on surgical performance. The impact of human factors such as surgical specialty, experience, and lifestyle factors like sleep and caffeine consumption on surgical dexterity is also analyzed.
View Article and Find Full Text PDFBronchoesophageal fistulas (BEFs) are rare and challenging conditions caused by congenital or acquired factors, often requiring innovative surgical solutions. This report describes the successful management of a chronic, postsurgical BEF in a 44-year-old male using a combination of robotic-assisted thoracoscopic surgery and laparoscopic omental flap interposition. The patient's complex history of failed esophageal stenting and dense pleural adhesions highlighted the need for a minimally invasive yet precise approach.
View Article and Find Full Text PDFOptimising outcomes after shoulder interventions requires objective shoulder range of motion (ROM) assessments. This narrative review examines video-based pose technologies and markerless motion capture, focusing on their clinical application for shoulder ROM assessment. Camera pose-based methods offer objective ROM measurements, though the accuracy varies due to the differences in gold standards, anatomical definitions, and deep learning techniques.
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