Utilizing Image Processing Techniques for Wound Management and Evaluation in Clinical Practice: Establishing the Feasibility of Implementing Artificial Intelligence in Routine Wound Care.

Objective: To develop a generalizable and accurate method for automatically analyzing wound images captured in clinical practice and extracting key wound characteristics such as surface area measurement.

Methods: The authors used image processing techniques to create a robust algorithm for segmenting pressure injuries from digital images captured by nurses during clinical practice. The algorithm also measured the real-world wound surface area.

Electrodiagnostic Testing Predicts Postdecompression Outcomes in Patients With Cubital Tunnel Syndrome.

Purpose: Electrodiagnostic (EDX) testing is commonly used in conjunction with symptoms and physical examination findings to diagnose cubital tunnel syndrome (CuTS). The purpose of this study was to investigate the relationship between preoperative EDX diagnosis and the degree of Disabilities of the Arm, Shoulder, and Hand (DASH) improvement after surgery within the CuTS patient population.

Methods: A retrospective review was designed to analyze patients from a single institution who underwent a cubital tunnel release.

Oxytocin in autism: Rethinking treatment and research through a neurodivergent perspective.

This perspective piece addresses critical challenges in oxytocin-based interventions for autism, drawing on neurodivergent perspectives to highlight key issues in research relevance and inclusivity. Although oxytocin has been posited to modulate social and routinized behaviors in autistic individuals, empirical findings on its efficacy remain inconsistent. We argue that these behavioral targets may reflect neurotypical biases, often disregarding autistic individuals' perspectives, thereby limiting intervention acceptability and efficacy.

Recognizing and Resisting Ableist Language in Schools: Suggestions for School-Based Speech-Language Pathologists and Related Professionals.

Purpose: The language that school professionals use to describe disabled students can reveal and perpetuate ableist assumptions. Professionals' language choices can also challenge ableist attitudes to help create more inclusive, equitable learning environments. This tutorial seeks to guide speech-language pathologists (SLPs) and other school professionals to identify ableist language, understand the ableist ideologies that such language reveals, and develop strategies to implement ways of communicating with and about disabled students that align with an anti-ableist stance.

Community Member Views on Autism Intervention: Effects of Closeness to Autistic People with Intellectual Disabilities And Nonspeaking Autistic People.

Background: Controversy regarding the neurodiversity movement (NDM), the social and medical models of disability, autism intervention goals, and causal attributions of disability contributes to divides in the autistic and autism communities. The present study investigates the views of autistic and non-autistic autistic and autism community members on these topics. We explored whether these views are shaped by having close relationships to autistic people with intellectual disabilities (ID) and nonspeaking autistic (NSA) people.