Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Background: Academic examination retakes are significant challenges in health professions education. With rigorous clinical assessments and high-stakes examinations, many students struggle to meet academic requirements, resulting in retakes. The voices and experiences of such students have often been absent within the broader discussion of health professions education.
View Article and Find Full Text PDFRecent calls have been made for equity tools and frameworks to be integrated throughout the research and design life cycle -from conception to implementation-with an emphasis on reducing inequity in artificial intelligence (AI) and machine learning (ML) applications. Simply stating that equity should be integrated throughout, however, leaves much to be desired as industrial ecology (IE) researchers, practitioners, and decision-makers attempt to employ equitable practices. In this forum piece, we use a critical review approach to explain how socioecological inequities emerge in ML applications across their life cycle stages by leveraging the food system.
View Article and Find Full Text PDFExamining Systemic and Interpersonal Bias in Violence Risk Assessments of Patients in Acute Psychiatric Care.
Psychiatr Serv
December 2024
Dalla Lana School of Public Health (Dharma, Bondy), Department of Anthropology (Sikstrom, Muirhead), and Department of Psychiatry (Zaheer, Maslej), University of Toronto, Toronto; Krembil Centre for Neuroinformatics (Dharma, Sikstrom, Muirhead, Maslej) and General Adult Psychiatry and Health Systems Division (Zaheer), Centre for Addiction and Mental Health, Toronto.
Article Synopsis
- The study investigates biases in assessing violence risk among psychiatric patients, particularly influenced by social determinants of health like race, gender, and admission type.
- It analyzed over 12,000 patient records from a Canadian psychiatric hospital, revealing that males and individuals from minority racial-ethnic backgrounds were often deemed high risk despite not becoming violent.
- The findings suggest that factors such as the method of admission (e.g., police versus self-admission) and housing instability significantly impact risk assessments, indicating a need to address these systemic issues to improve care equity.
The Algorithmic Divide: A Systematic Review on AI-Driven Racial Disparities in Healthcare.
J Racial Ethn Health Disparities
December 2024
Division of Plastic Surgery, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL, 32224, USA.
Introduction: As artificial intelligence (AI) continues to permeate various sectors, concerns about disparities arising from its deployment have surfaced. AI's effectiveness correlates not only with the algorithm's quality but also with its training data's integrity. This systematic review investigates the racial disparities perpetuated by AI systems across diverse medical domains and the implications of deploying them, particularly in healthcare.
View Article and Find Full Text PDFEthical and Bias Considerations in Artificial Intelligence (AI)/Machine Learning.
Mod Pathol
December 2024
Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA; Computational Pathology and AI Center of Excellence (CPACE), University of Pittsburgh, Pittsburgh, PA. Electronic address:
As artificial intelligence (AI) gains prominence in pathology and medicine, the ethical implications and potential biases within such integrated AI models will require careful scrutiny. Ethics and bias are important considerations in our practice settings, especially as increased number of machine learning (ML) systems are being integrated within our various medical domains. Such machine learning based systems, have demonstrated remarkable capabilities in specified tasks such as but not limited to image recognition, natural language processing, and predictive analytics.
View Article and Find Full Text PDFWant 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!