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[PDF][PDF] AI-driven clinical decision support systems: an ongoing pursuit of potential
M Elhaddad, S Hamam - Cureus, 2024 - cureus.com
Abstract Clinical Decision Support Systems (CDSS) are essential tools in contemporary
healthcare, enhancing clinicians' decisions and patient outcomes. The integration of artificial …
healthcare, enhancing clinicians' decisions and patient outcomes. The integration of artificial …
Human-algorithmic interaction using a large language model-augmented artificial intelligence clinical decision support system
Integration of artificial intelligence (AI) into clinical decision support systems (CDSS) poses a
socio-technological challenge that is impacted by usability, trust, and human-computer …
socio-technological challenge that is impacted by usability, trust, and human-computer …
Does more advice help? The effects of second opinions in AI-assisted decision making
AI assistance in decision-making has become popular, yet people's inappropriate reliance
on AI often leads to unsatisfactory human-AI collaboration performance. In this paper …
on AI often leads to unsatisfactory human-AI collaboration performance. In this paper …
Toward a responsible future: recommendations for AI-enabled clinical decision support
S Labkoff, B Oladimeji, J Kannry… - Journal of the …, 2024 - academic.oup.com
Background Integrating artificial intelligence (AI) in healthcare settings has the potential to
benefit clinical decision-making. Addressing challenges such as ensuring trustworthiness …
benefit clinical decision-making. Addressing challenges such as ensuring trustworthiness …
[PDF][PDF] AI-driven decision-making in healthcare information systems: a comprehensive review
Artificial Intelligence (AI) is revolutionizing decision-making procedures in healthcare
information systems (HIS), increasing the efficacy, accuracy, and personalization of …
information systems (HIS), increasing the efficacy, accuracy, and personalization of …
Barriers and facilitators to implementing imaging-based diagnostic artificial intelligence-assisted decision-making software in hospitals in China: a qualitative study …
X Liao, C Yao, F **, J Zhang, L Liu - BMJ open, 2024 - bmjopen.bmj.com
Objectives To identify the barriers and facilitators to the successful implementation of
imaging-based diagnostic artificial intelligence (AI)-assisted decision-making software in …
imaging-based diagnostic artificial intelligence (AI)-assisted decision-making software in …
Challenges for responsible AI design and workflow integration in healthcare: a case study of automatic feeding tube qualification in radiology
A Thieme, A Rajamohan, B Cooper… - ACM Transactions on …, 2024 - dl.acm.org
Nasogastric tubes (NGTs) are feeding tubes that are inserted through the nose into the
stomach to deliver nutrition or medication. If not placed correctly, they can cause serious …
stomach to deliver nutrition or medication. If not placed correctly, they can cause serious …
Explainable interface for human-autonomy teaming: a survey
Nowadays, large-scale foundation models are being increasingly integrated into numerous
safety-critical applications, including human-autonomy teaming (HAT) within transportation …
safety-critical applications, including human-autonomy teaming (HAT) within transportation …
Meaningful Transparency for Clinicians: Operationalising HCXAI Research with Gynaecologists
AI systems can bring great benefits to our healthcare systems, eg by improving patient
outcomes. Yet implementing them into clinical practice remains challenging. To bridge the …
outcomes. Yet implementing them into clinical practice remains challenging. To bridge the …
[PDF][PDF] Unlocking educational potential: exploring students' satisfaction and sustainable engagement with ChatGPT using the ECM model
ABSTRACT Aim/Purpose The main goal of this study is to investigate the factors affecting
students' satisfaction and continuous usage of ChatGPT in an educational context, using the …
students' satisfaction and continuous usage of ChatGPT in an educational context, using the …