Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 15,131 to 15,140 of 212,780 articles

Evaluation of Graph-Based Algorithms for Early Detection of In-Hospital Mortality.

Studies in health technology and informatics
Enhancing patient care quality depends on preventing health-related adverse events (HAEs), including in-hospital mortality, right from the start of hospitalization. Today, machine learning tools offer innovative solutions for predicting such events. ... read more 

Designing a Multimodal Data Structure for Cognitive Decline Using All of Us Resources and Gemini Flash Thinking.

Studies in health technology and informatics
Cognitive decline is not easily defined, as it can manifest across multilayered and heterogeneous data. Its understanding requires the design of data structures that integrate all relevant dimensions. In this study, we address the challenge of implem... read more 

Guideline-Aligned Machine Learning for Predicting Ondansetron Administration at the End of Anaesthesia: Explainable Decision Support for PONV Prophylaxis.

Studies in health technology and informatics
Artificial Intelligence (AI) and Clinical Practice Guidelines (CPGs) both aim to support clinical decision-making but may provide conflicting suggestions. This manuscript presents a Guideline-Aligned Machine Learning (GAML) model to predict ondansetr... read more 

Improving Explainability in Clinical Mortality Prediction Using Stacking Classifiers over Annotated Clinical Notes.

Studies in health technology and informatics
Heart failure, a leading cause of hospitalization and death, requires early identification of high-risk patients to improve care. This study focuses on predicting 3-month mortality after hospital discharge using real-world clinical notes. For such pr... read more 

Explainable Machine Learning for Parkinson's Disease Screening Using Spiral Drawing Test.

Studies in health technology and informatics
Parkinson's disease (PD) is a common neurological disorder that can severely affect the patient's quality of life. The Archimedean spiral drawing test is a widely used diagnostic tool for PD detection. Given the advancements in computer vision techni... read more 

National Collaboration on AI Deployment in Norway.

Studies in health technology and informatics
In Norway, a national AI platform for radiology was introduced to support coordinated procurement, deployment, and scaling across all health regions. This study examines how this platform-based approach enables and constrains national AI deployment. ... read more 

A Durable Backdoor Attack on Medical Imaging via Federated Learning.

Studies in health technology and informatics
Federated Learning (FL) enables multiple healthcare institutions to jointly train models without sharing raw patient data, making it a natural fit for privacy-sensitive medical applications. However, its distributed and partially trusted nature expos... read more 

Hybrid AI Decision Support in Healthcare: Insights into Usability and Trust.

Studies in health technology and informatics
Decision Support Systems (DSS) increasingly integrate Artificial Intelligence (AI) to enhance clinical reasoning, yet adoption depends on professionals' trust and usability. This study explored how hybrid AI decision support, combining rule-based gui... read more 

Advancing Knowledge in Evaluating the Clinical Impact of Large Language Models for Clinical Text Summarization: A Narrative Review.

Studies in health technology and informatics
Large language models (LLMs) are increasingly explored for clinical text summarization from electronic health records (EHRs), where they could reduce documentation burden. While promising, errors in generated summaries may propagate misinformation, m... read more 

Exploring User Trust and Adoption of AI Chatbots for Health and Fitness Management Across Age Groups.

Studies in health technology and informatics
This study investigates how individuals across different age groups use and perceive AI chatbots for health and fitness management. A quantitative survey (n = 180) examined usage frequency, perceived trust, relevance and satisfaction among users. Fin... read more