Artificial intelligence in practice: Opportunities, challenges, and ethical considerations.
Artificial intelligence (AI) tools are being rapidly introduced into the workflow of health
service psychologists. This article critically examines the potential, limitations, and ethical …
service psychologists. This article critically examines the potential, limitations, and ethical …
Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects
Although artificial intelligence (AI) methods hold promise for medical imaging-based
prediction tasks, their integration into medical practice may present a double-edged sword …
prediction tasks, their integration into medical practice may present a double-edged sword …
From Code to Clots: Applying Machine Learning to Clinical Aspects of Venous Thromboembolism Prevention, Diagnosis, and Management
The high incidence of venous thromboembolism (VTE) globally and the morbidity and
mortality burden associated with the disease make it a pressing issue. Machine learning …
mortality burden associated with the disease make it a pressing issue. Machine learning …
Putting ai in fair: a framework for equity in ai-driven learner models and inclusive assessments
E Sato, V Shyyan, S Chauhan… - Journal of Measurement …, 2024 - dergipark.org.tr
This paper delves into the critical role of learner models in educational assessment and
includes a systematic review of recent literature on AI and K-12 education. This review …
includes a systematic review of recent literature on AI and K-12 education. This review …
[HTML][HTML] Evaluating predictive artificial intelligence approaches used in mobile health platforms to forecast mental health symptoms among youth: a systematic review
The youth mental health crisis is exacerbated by limited access to care and resources.
Mobile health (mHealth) platforms using predictive artificial intelligence (AI) can improve …
Mobile health (mHealth) platforms using predictive artificial intelligence (AI) can improve …
LI Kumbo, VS Nkwera, RF Mero - ABUAD Journal of …, 2024 - journals.abuad.edu.ng
Abstract Artificial Intelligence (AI) and Machine Learning (ML) present transformative
opportunities for sectors in develo** countries like Tanzania that were previously hindered …
opportunities for sectors in develo** countries like Tanzania that were previously hindered …
From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits?
As the adoption of machine learning (ML) systems continues to grow across industries,
concerns about fairness and bias in these systems have taken center stage. Fairness …
concerns about fairness and bias in these systems have taken center stage. Fairness …