Artificial Intelligence Medical Compendium

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

Showing 15,451 to 15,460 of 213,137 articles

AI and Digital-Twin Synergy for Field Optimisation for Targeted Drug Delivery.

Studies in health technology and informatics May 21, 2026
Precise mapping of magnetic fields is crucial for magnetic drug targeting, microrobotics, and magnetically actuated biomedical devices. In this paper, we present an integrative approach that combines Finite Element Method Magnetics simulations, AI-ge... read more 

Enhancing Unsupervised Segmentation Frameworks for Volumetric Medical Images via Superpixel Segmentation and Agglomerative Clustering.

Studies in health technology and informatics May 21, 2026
Medical image segmentation plays a crucial role in precise diagnosis and disease monitoring. Current state-of-the-art (SOTA) segmentation methods, such as nnUNet [1], require a large amount of human-annotated segmentation ground truths, which are tim... read more 

Non-Invasive Prediction of Embryo Ploidy from Time-Lapse Videos Using Video Vision Transformers (ViViT).

Studies in health technology and informatics May 21, 2026
Accurate selection of viable embryos is crucial in in vitro fertilisation (IVF) to improve clinical outcomes. Traditional embryo assessment relies on subjective visual evaluation or invasive genetic testing, each with inherent limitations. To address... read more 

Data Integrity in Medical AI.

Studies in health technology and informatics May 21, 2026
The reliability and ethical use of artificial intelligence (AI) in medicine fundamentally depend on the integrity of underlying data. This peer-review-style report examines data integrity - covering data quality, noise, bias, and data collection desi... read more 

Building an Ontology-Based Cohort of Liver Cancer Imaging Data for AI Development on the European Federated Platform EUCAIM.

Studies in health technology and informatics May 21, 2026
Hepatocellular carcinoma (HCC) is steadily increasing in incidence worldwide and requires data-driven approaches to improve diagnosis, prognosis, and therapeutic decisions. We describe the harmonization of IMALIVE -a real-world HCC cohort- with the c... read more 

An Innovative 3D Slicer Plugin for Brain Images Annotation and Lesions Study.

Studies in health technology and informatics May 21, 2026
This article presents the design, development, and validation of a plugin that integrates deep learning models into the open-source 3D Slicer framework for the visualization and analysis of biomedical images. The system implements a convolutional neu... read more 

Test-Time Data Quality Degradation in Clinical ML: A Systematic Robustness Analysis on MIMIC-IV.

Studies in health technology and informatics May 21, 2026
We conducted a controlled experimental study using the MIMIC-IV database to evaluate the robustness of five clinical classification models under data quality (DQ) degradation. Dimension-specific corruptions were applied exclusively at test time, whil... read more 

Integrating ARIMA and Deep Learning Models for Counterfactual Evaluation of Nirsevimab's Early Impact on RSV Infant Admissions.

Studies in health technology and informatics May 21, 2026
This study presents a hybrid modelling framework that integrates classical statistical methods (ARIMA) with deep learning architectures to enhance longitudinal forecasting of hospital admissions. We conducted a preliminary, hospital-based evaluation ... read more 

A Data-Driven Visit Windowing Approach Applied to Cochlear Implant Follow-Up Data.

Studies in health technology and informatics May 21, 2026
INTRODUCTION: Cochlear implant (CI) patients require regular follow-up care over multiple visits to achieve optimal hearing outcomes. In clinical routine, however, visits rarely occur on the exact scheduled dates and cluster around them, reducing rep... read more 

Prediction of Early Functional Outcome After Acute Ischemic Stroke Using Real-World Clinical Data in Vietnam and Indonesia: Retrospective Cohort Study.

Studies in health technology and informatics May 21, 2026
Accurate prediction of early functional outcome after acute ischemic stroke is critical for clinical decision-making. This retrospective cohort study developed and externally validated a machine learning model using routine clinical data from two set... read more 
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