Eye on the horizon: The metabolic landscape of the RPE in aging and disease.

To meet the prodigious bioenergetic demands of the photoreceptors, glucose and other nutrients must traverse the retinal pigment epithelium (RPE), a polarised monolayer of cells that lie at the interface between the outer retina and the choroid, the principal vascular layer of the eye. Recent investigations have revealed a metabolic ecosystem in the outer retina where the photoreceptors and RPE engage in a complex exchange of sugars, amino acids, and other metabolites. Perturbation of this delicate metabolic balance has been identified in the aging retina, as well as in age-related macular degeneration (AMD), the leading cause of blindness in the Western world.

Evaluating the Impact of Post-Esophagectomy Exercise on 2- and 5-Yr Survival: Findings from the PERFECT Trial.

Purpose: Despite recent treatment advances, esophageal cancer still has poor survival and a high morbidity. Exploratory evidence suggests that exercise can reduce cancer-related mortality and recurrence rates. Here, we investigated the effects of an exercise intervention in the first year after esophagectomy on survival in participants of the Physical ExeRcise Following Esophageal Cancer Treatment (PERFECT) trial.

Artificial intelligence-aided ultrasound imaging in hepatopancreatobiliary surgery: where are we now?

Background: Artificial intelligence (AI) models have been applied in various medical imaging modalities and surgical disciplines, however the current status and progress of ultrasound-based AI models within hepatopancreatobiliary surgery have not been evaluated in literature. Therefore, this review aimed to provide an overview of ultrasound-based AI models used for hepatopancreatobiliary surgery, evaluating current advancements, validation, and predictive accuracies.

Method: Databases PubMed, EMBASE, Cochrane, and Web of Science were searched for studies using AI models on ultrasound for patients undergoing hepatopancreatobiliary surgery.

Training in robotic-assisted surgery: a systematic review of training modalities and objective and subjective assessment methods.

Introduction: The variety of robotic surgery systems, training modalities, and assessment tools within robotic surgery training is extensive. This systematic review aimed to comprehensively overview different training modalities and assessment methods for teaching and assessing surgical skills in robotic surgery, with a specific focus on comparing objective and subjective assessment methods.

Methods: A systematic review was conducted following the PRISMA guidelines.

Artificial intelligence-powered clinical decision making within gastrointestinal surgery: A systematic review.

Background: Clinical decision-making in gastrointestinal surgery is complex due to the unpredictability of tumoral behavior and postoperative complications. Artificial intelligence (AI) could aid in clinical decision-making by predicting these surgical outcomes. The current status of AI-based clinical decision-making within gastrointestinal surgery is unknown in recent literature.