AIMC Topic: Decision Support Systems, Clinical
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Remote clinical decision support tool for Parkinson's disease assessment using a novel approach that combines AI and clinical knowledge.
BMC medical informatics and decision making
Aug 7, 2025
BACKGROUND: Early diagnosis of Parkinson's disease (PD) can assist in designing efficient treatments. Reduced facial expressions are considered a hallmark of PD, making advanced artificial intelligence (AI) image processing a potential non-invasive c...
Can AI match emergency physicians in managing common emergency cases? A comparative performance evaluation.
BMC emergency medicine
Jul 31, 2025
BACKGROUND: Large language models (LLMs) such as ChatGPT are increasingly explored for clinical decision support. However, their performance in high-stakes emergency scenarios remains underexamined. This study aimed to evaluate ChatGPT's diagnostic a...
Systematic data management for effective AI-driven decision support systems in robotic rehabilitation.
Scientific reports
Jul 30, 2025
Robotic rehabilitation is becoming a standard in post-stroke physical rehabilitation, and these setups, often coupled with virtual exercises, collect a large and finely grained amount of data about patients' motor performance, in terms of kinematics ...
Decision factors for the selection of AI-based decision support systems-The case of task delegation in prognostics.
PloS one
Jul 24, 2025
Decision support systems (DSS) integrating artificial intelligence (AI) hold the potential to significantly enhance organizational decision-making performance and speed in areas such as prognostics in machine maintenance. A key issue for organization...
Machine learning driven diabetes care using predictive-prescriptive analytics for personalized medication prescription.
Scientific reports
Jul 23, 2025
The increasing prevalence of type 2 diabetes (T2D) is a significant health concern worldwide. Effective and personalized treatment strategies are essential for improving patient outcomes and reducing healthcare costs. Machine learning (ML) has the po...
Assessing the impact of information on patient attitudes toward artificial intelligence-based clinical decision support (AI/CDS): a pilot web-based SMART vignette study.
Journal of medical ethics
Jul 23, 2025
BACKGROUND: It is increasingly recognised that the success of artificial intelligence-based clinical decision support (AI/CDS) tools will depend on physician and patient trust, but factors impacting patients' views on clinical care reliant on AI have...
When time is of the essence: ethical reconsideration of XAI in time-sensitive environments.
Journal of medical ethics
Jul 23, 2025
The objective of explainable artificial intelligence systems designed for clinical decision support (XAI-CDSS) is to enhance physicians' diagnostic performance, confidence and trust through the implementation of interpretable methods, thus providing ...
Application of ChatGPT-based artificial intelligence in the diagnosis and management of polycystic ovary syndrome.
BMC medical informatics and decision making
Jul 18, 2025
This study systematically develops and evaluates the application value of the PCOS-GPT system, an artificial intelligence (AI) assistant based on ChatGPT technology, in the diagnosis and management of polycystic ovary syndrome (PCOS). The research ex...
Development of a clinical decision support system for breast cancer detection using ensemble deep learning.
Scientific reports
Jul 18, 2025
Advancements in diagnostic technology are required to improve patient outcomes and facilitate early diagnosis, as breast cancer is a substantial global health concern. This research discusses the creation of a unique Deep Learning (DL) Ensemble Deep ...
Multi-task reinforcement learning and explainable AI-Driven platform for personalized planning and clinical decision support in orthodontic-orthognathic treatment.
Scientific reports
Jul 8, 2025
This study presents a novel clinical decision support platform for orthodontic-orthognathic treatment that integrates multi-task reinforcement learning with explainable artificial intelligence. The platform addresses the challenges of personalized tr...
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