[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 …

Human-algorithmic interaction using a large language model-augmented artificial intelligence clinical decision support system

NC Rajashekar, YE Shin, Y Pu, S Chung… - Proceedings of the …, 2024 - dl.acm.org
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 …

Does more advice help? The effects of second opinions in AI-assisted decision making

Z Lu, D Wang, M Yin - Proceedings of the ACM on Human-Computer …, 2024 - dl.acm.org
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 …

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 …

[PDF][PDF] AI-driven decision-making in healthcare information systems: a comprehensive review

M Bagheri, M Bagheritaba, S Alizadeh, MS Parizi… - Preprints, 2024 - preprints.org
Artificial Intelligence (AI) is revolutionizing decision-making procedures in healthcare
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 …

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 …

Explainable interface for human-autonomy teaming: a survey

X Kong, Y **ng, A Tsourdos, Z Wang, W Guo… - arxiv preprint arxiv …, 2024 - arxiv.org
Nowadays, large-scale foundation models are being increasingly integrated into numerous
safety-critical applications, including human-autonomy teaming (HAT) within transportation …

Meaningful Transparency for Clinicians: Operationalising HCXAI Research with Gynaecologists

BGS Schor, E Kallina, J Singh, A Blackwell - Proceedings of the 2024 …, 2024 - dl.acm.org
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 …

[PDF][PDF] Unlocking educational potential: exploring students' satisfaction and sustainable engagement with ChatGPT using the ECM model

TTA Ngo, GK An, PT Nguyen, TT Tran - Journal of Information Technology …, 2024 - jite.org
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 …