Artificial Intelligence Medical Compendium

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

Showing 13,851 to 13,860 of 211,462 articles

Grading Shoulder Osteoarthritis in X-ray Images Using Deep Learning Techniques.

Studies in health technology and informatics May 21, 2026
This study attempts to develop a deep learning (DL) model to grade Glenohumeral OA (GHOA) in shoulder x-ray images based on the Hamada classification system. Using a novel image enhancing technique, the final model achieved AUROC scores ranging from ... read more 

DeepSeek R1 Distilled Fails to Perform Well Against the USMLE and Other LLMs with and Without Semantics.

Studies in health technology and informatics May 21, 2026
DeepSeek-R1 Distilled Large Language model (LLM) was touted to be almost as good and much cheeper to generate than traditional LLMs. We compared its ability to answer medical questions from the United States Medical Licensing Examinations (USMLE) and... read more 

OPTIMA-DAW: Improving Cerebral Vasospasm Detection After Aneurysmal Subarachnoid Haemorrhage Using Machine Learning.

Studies in health technology and informatics May 21, 2026
Cerebral vasospasm is a serious complication after aneurysmal subarachnoid haemorrhage (aSAH). We trained machine learning models on 168 patients (225 CTA timepoints) using standardized clinical data (OMOP CDM). XGBoost achieved the best performance ... read more 

Challenges in Using Clinical Data for AI-Enabled Diagnostic Support.

Studies in health technology and informatics May 21, 2026
Secondary use of clinical data for research and algorithm development can present challenges. Using a multi-hospital, retrospective dataset, we examined laboratory values and corresponding recorded diagnoses across common tests. Unanticipated finding... read more 

Integrating Nutritional Status in Machine Learning Predictive Models for Cardiovascular Risk: A Pilot Study.

Studies in health technology and informatics May 21, 2026
This study explored the use of machine learning (ML) models for cardiovascular risk stratification in an elderly Thai population. A cross-sectional analysis was performed in 210 hypertensive adults aged 60 years and older, using age, sex, systolic bl... read more 

AI-Integrated EEG Decision Support for Neurocritical Care: A Conceptual and Feasibility Framework.

Studies in health technology and informatics May 21, 2026
The clinical use of electroencephalography (EEG) for neuro-prognostication in neurocritical care remains limited, despite its ability to provide non-invasive insight into brain activity. This study presents a conceptual framework and early-stage prot... read more 

An Event-Condition-Action (ECA)-Based Formalization of Clinical Guidelines.

Studies in health technology and informatics May 21, 2026
Although existing approaches support medical knowledge representation, formalizing clinical guidelines (CGs) remains challenging. We use Event-Condition-Action (ECA) rules, a well-known paradigm, to address this challenge and present an early ECA-bas... read more 

Development of A Wearable Device for Fall Monitoring: A Preliminary Study.

Studies in health technology and informatics May 21, 2026
Falls among older adults are a significant public health issue, with 30% of older adults falling annually. The project's objective is to develop a fall detection system. This study aims to quantify postural sway (displacement) in older adults during ... read more 

Architecture-Specific Impact of Preprocessing on Machine Learning Models for ECG Classification.

Studies in health technology and informatics May 21, 2026
Automated analysis of electrocardiograms relies increasingly on deep learning models. In these models, preprocessing steps may often be applied under the assumption that they inherently improve performance. This study investigates the effects of sign... read more 

System Architecture of a Local Hybrid AI for Secure Patient Communication: Implementation on Consumer Hardware.

Studies in health technology and informatics May 21, 2026
We constructed a system that explicitly separates clinically oriented queries from low-risk casual conversation using a sentence-transformer classifier. Clinical inputs are routed to a non-generative, expert vetted Frequently Asked Questions (FAQ) re... read more 
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