Hiding behind 'innovation': the case for regulated risk assessment in surgery.

Br J Surg

Centre for Surgical Research, NIHR Bristol Biomedical Research Centre, Bristol Medical School, University of Bristol, Bristol, UK.

Published: July 2023

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361675PMC
http://dx.doi.org/10.1093/bjs/znac347DOI Listing

Publication Analysis

Top Keywords

hiding 'innovation'
4
'innovation' case
4
case regulated
4
regulated risk
4
risk assessment
4
assessment surgery
4
hiding
1
case
1
regulated
1
risk
1

Similar Publications

A Model and Quantitative Framework for Evaluating Iterative Steganography.

Entropy (Basel)

December 2024

Institute of Computer and Information Systems, Faculty of Cybernetics, Military University of Technology, 00-908 Warszawa, Poland.

This study presents a detailed characterization of iterative steganography, a unique class of information-hiding techniques, and proposes a formal mathematical model for their description. A novel quantitative measure, the Incremental Information Function (IIF), is introduced to evaluate the process of information gain in iterative steganographic methods. The IIF offers a comprehensive framework for analyzing the step-by-step process of embedding information into a cover medium, focusing on the cumulative effects of each iteration in the encoding and decoding cycles.

View Article and Find Full Text PDF

Steganography is used to hide sensitive types of data including images, audio, text, and videos in an invisible way so that no one can detect it. Image-based steganography is a technique that uses images as a cover media for hiding and transmitting sensitive information over the internet. However, image-based steganography is a challenging task due to transparency, security, computational efficiency, tamper protection, payload, etc.

View Article and Find Full Text PDF

Background: Training gaps regarding the diagnosis and management of eating disorders in diverse populations, including racial, ethnic, sexual, and gender minoritized groups, have not been thoroughly examined.

Objective: This study aimed to examine resident physicians' knowledge and attitudes regarding eating disorders in diverse populations, with a focus on areas for improved training and intervention.

Methods: Ninety-two resident physicians in internal medicine, emergency medicine, obstetrics/gynecology, psychiatry, and surgery at an academic center completed an online survey from 12/1/2020-3/1/2021, which comprised multiple choice and vignette-style open-ended questions to assess knowledge and attitudes toward the management and clinical presentations of eating disorders.

View Article and Find Full Text PDF

Disorders affecting the neurological and musculoskeletal systems represent international health priorities. A significant impediment to progress in trials of new therapies is the absence of responsive, objective, and valid outcome measures sensitive to early disease changes. A key finding in individuals with neuromuscular and musculoskeletal disorders is the compositional changes to muscles, evinced by the expression of fatty infiltrates.

View Article and Find Full Text PDF

Hiding Uncertain Me in the Crowd: Avoidance-Oriented Affiliation Defense to Self-Uncertainty.

Psychol Res Behav Manag

November 2024

Collaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, People's Republic of China.

Purpose: This study explored how individuals cope with self-uncertainty by subconsciously affiliating with groups. Specifically, we investigated whether this affiliation is driven by avoiding isolation rather than pursuing group identity or entitativity.

Methods: In Study 1, we recruited 50 undergraduate students and employed the Affect Misattribution Procedure (AMP) to measure implicit attitudes toward affiliation and isolation after inducing self-uncertainty.

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!