Comment on: Improving perioperative and long-term outcomes for black patients through earlier and more enhanced access to metabolic and bariatric care.

Surg Obes Relat Dis

Department of General Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic Foundation, Cleveland, Ohio; Department of Surgery, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.

Published: May 2021

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.soard.2021.01.039DOI Listing

Publication Analysis

Top Keywords

comment improving
4
improving perioperative
4
perioperative long-term
4
long-term outcomes
4
outcomes black
4
black patients
4
patients earlier
4
earlier enhanced
4
enhanced access
4
access metabolic
4

Similar Publications

Advancements in liver retraction techniques for laparoscopic gastrectomy.

World J Gastrointest Surg

January 2025

Department of Upper Gastrointestinal Surgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham B15 2GW, West Midlands, United Kingdom.

Traditionally, liver retraction for laparoscopic gastrectomy is done manual methods, such as the placement of retractors through the accessory ports and using a Nathanson retractor. However, these techniques often posed issues including extra abdominal incisions, risk of liver injury or ischaemia, and the potential for compromised visualization. Over the years, the development of innovative liver retraction techniques has significantly improved the safety and efficacy of laparoscopic gastrectomy and similar other hiatal procedures.

View Article and Find Full Text PDF

In this editorial we comment on the article by Jiang . We focus on the EncephalApp Stroop test which is an innovative, smartphone-based tool specifically designed for screening minimal hepatic encephalopathy (MHE) in cirrhosis patients. Traditional MHE screening methods, while highly sensitive and specific, are often complex, time-consuming, and require controlled environmental conditions, limiting their widespread clinical use.

View Article and Find Full Text PDF

Background: Automated machine learning (ML)-based large vessel occlusion (LVO) detection algorithms have been shown to improve in-hospital workflow metrics including door-to-groin time (DTG). The degree to which care team engagement and interaction are required for these benefits remains incompletely characterized.

Methods: This analysis was conducted as a pre-planned post-hoc analysis of a randomized prospective clinical trial.

View Article and Find Full Text PDF

In sports training, personalized skill assessment and feedback are crucial for athletes to master complex movements and improve performance. However, existing research on skill transfer predominantly focuses on skill evaluation through video analysis, addressing only a single facet of the multifaceted process required for skill acquisition. Furthermore, in the limited studies that generate expert comments, the learner's skill level is predetermined, and the spatial-temporal information of human movement is often overlooked.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!