Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

MULTICHANNEL IMAGE AND VIDEO INPAINTING BASED ON STATISTICAL TEXTURE ANALYSIS

Reconstruction and completion of damaged regions after object removal of digital image and video is an important trend, which has been extensively used in artwork restoration. Image and video completion are interesting new research topics in image, video processing and multimedia computing available since 2000, which deals with the recovery of original data. The purpose of image and video completion is to modifY and repair the damaged structure and texture regions in a non-detectable way for an observer not familiar with the original image or video. There are widespread applications for image and video completion including image and video coding, wireless image and video transmission (e.g. recovering lost blocks), special effects (e.g. removal of unwanted objects), image and video restoration (e.g. scratch removal), removal of occlusions (e.g .. text, subtitle, logos, stamps), removal of information from aerial images and videos like orientation and location. Other applications include annotation removal from medical and military images and videos

MULTICHANNEL IMAGE AND VIDEO INPAINTING BASED ON STATISTICAL TEXTURE ANALYSIS

Reconstruction and completion of damaged regions after object removal of digital image and video is an important trend, which has been extensively used in artwork restoration. Image and video completion are interesting new research topics in image, video processing and multimedia computing available since 2000, which deals with the recovery of original data. The purpose of image and video completion is to modifY and repair the damaged structure and texture regions in a non-detectable way for an observer not familiar with the original image or video. There are widespread applications for image and video completion including image and video coding, wireless image and video transmission (e.g. recovering lost blocks), special effects (e.g. removal of unwanted objects), image and video restoration (e.g. scratch removal), removal of occlusions (e.g .. text, subtitle, logos, stamps), removal of information from aerial images and videos like orientation and location. Other applications include annotation removal from medical and military images and videos

An Efficient Method for Document Correction Based on Checkerboard Calibration Pattern

Portable digital devices such as PDAs and camera phones are the easiest and most widely used methods to preserve and collect information. Capturing a document image using this method always has warping issues, especially when capturing pages from a book and rolled-up documents. In this article, we propose an effective method to correct the warping of the captured document image. The proposed method uses a checkerboard calibration pattern to calculate the world and image points. A radial distortion algorithm is used to handle the warping problem based on the computed image and world points. The proposed method obtained an error rate of 3% using a document de-warping dataset (CBDAR 2007). The proposed method achieved a high level of quality compared with other previous methods. Our method fixes the problem of warping in document images acquired with different levels of complexity, such as poor lighting, low quality, and different layouts