Artificial Intelligence Medical Compendium

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

Showing 13,201 to 13,210 of 210,785 articles

Fully Automated Colon Delineation and Volume Estimation in T2-Weighted MRI with a 2D U-Net.

Studies in health technology and informatics May 21, 2026
Artificial intelligence has the potential to provide an objective, accurate and fast evaluation of the colon for clinical assessment of gastrointestinal diseases, such as chronic constipation. Accurate colon segmentation is a labor-intensive task, pr... read more 

Statistical Models Addressing Acute Respiratory Diseases: A Scoping Review.

Studies in health technology and informatics May 21, 2026
This review highlights the application of statistical models in addressing respiratory diseases worldwide. A scoping review was conducted following Joanna Briggs Institute methodology, with searches in Medline (PubMed), Web of Science, LILACS, BVS, C... read more 

Representation of Ordinal Features: Supervised Embeddings in the Survival Prediction of Prostate Cancer Patients.

Studies in health technology and informatics May 21, 2026
Prostate cancer (PCa) is the most common cancer in men. Treatment decisions for PCa consider factors like age, tumor stage, and grade, along with specific prostate-related factors such as prostate-specific antigen (PSA) level and Gleason score. Most ... read more 

Finding Associative and Causal Effects of Temporal Changes in Health Features for Prevalent and Incident Cancer in Males: A Machine Learning Approach.

Studies in health technology and informatics May 21, 2026
Cancer remains a major public health challenge driven by complex interactions among sociodemographic, behavioral, clinical, and environmental factors. This study investigated how temporal changes in health-related features are associated to prevalent... read more 

Overcoming Domain Shift in Atypical Mitotic Figure Detection with Deep Ensemble Learning.

Studies in health technology and informatics May 21, 2026
The morphological classification of atypical mitotic figures (AMFs) is a critical prognostic task in histopathology, but deep learning models often lack generalization across diverse clinical settings. This study presents a robust and reproducible pi... read more 

Dementia Prediction Using Gait Analysis and Machine Learning.

Studies in health technology and informatics May 21, 2026
Dementia is a progressive neurodegenerative disorder affecting millions of people worldwide. Early prediction of dementia, especially during the mild cognitive impairment (MCI) stage, is crucial for timely intervention and management. Gait analysis p... read more 

Towards the Definition of a Prognostic Model for Mantle Cell Lymphoma.

Studies in health technology and informatics May 21, 2026
Mantle cell lymphoma (MCL) has a heterogeneous clinical course, making robust, usable prognostic tools essential for risk-adapted care. In this paper, we worked at the definition of an effective and deployable prognostic model, tailored to a specific... read more 

Effects of Non-IID Distributions in Lung Cancer Data on Survival Prediction with Federated Ensemble Learning.

Studies in health technology and informatics May 21, 2026
A common challenge in Federated Learning (FL) is that distribution shifts between clients, or Non-IIDness, decrease global model performance. Non-IIDness means that data is not independently and identically distributed between participating sites. St... read more 

Developing an AI-Trained Movement Screening Tool, Based on Skeleton Avatar Technique, to Evaluate and Promote Sustainable Physical Functioning in Daily Life.

Studies in health technology and informatics May 21, 2026
Maintaining mobility is vital for older adults. However, standardized functional tests often overlook crucial qualitative aspects, and expert assessments (EA) are costly and lack standardization. This project aims to develop an AI-based movement scre... read more 

Predicting 2-Year Overall Survival in NSCLC from CT Scans Using 2D CNNs and Soft Attention.

Studies in health technology and informatics May 21, 2026
Accurate overall survival (OS) prediction in non-small cell lung cancer (NSCLC) is crucial but challenging due to high-dimensional 3D computed tomography (CT) data, limited annotations, and time-to-event outcomes. Traditional 3D CNNs are computationa... read more 
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