Artificial Intelligence Medical Compendium

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

Showing 1,321 to 1,330 of 6,800 articles

Leveraging an ensemble of EfficientNetV1 and EfficientNetV2 models for classification and interpretation of breast cancer histopathology images.

Scientific reports Jul 1, 2025
Breast cancer is the second leading cause of cancer-related deaths among women, following lung cancer, as of 2024. Conventional cancer diagnosis relies on the manual examination of biopsied tissues by pathologists, a time-consuming process that may v... read more 
Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Neural Networks, Computer Female Humans Breast Neoplasms

Profiling short-term longitudinal severity progression and associated genes in COVID-19 patients using EHR and single-cell analysis.

Scientific reports Jul 1, 2025
Here we propose CovSF, a deep learning model designed to track and forecast short-term severity progression of COVID-19 patients using longitudinal clinical records. The motivation stems from the need for timely medical resource allocation, improved ... read more 
Deep Learning Single-Cell Analysis Severity of Illness Index Transcriptome Longitudinal Studies SARS-CoV-2 Aged Middle Aged Disease Progression Male Electronic Health Records Female Humans COVID-19

Deep learning for occupation recognition and knowledge discovery in rheumatology clinical notes.

Scientific reports Jul 1, 2025
Occupational data is a crucial social determinant of health, influencing diagnostic accuracy, treatment strategies, and policy-making in healthcare. However, its inclusion in electronic health records (EHR) is often relegated to unstructured fields. ... read more 
Female Adult Male Humans Electronic Health Records Rheumatic Diseases Rheumatology Occupations Middle Aged Deep Learning

CFM-UNet: coupling local and global feature extraction networks for medical image segmentation.

Scientific reports Jul 1, 2025
In medical image segmentation, traditional CNN-based models excel at extracting local features but have limitations in capturing global features. Conversely, Mamba, a novel network framework, effectively captures long-range feature dependencies and e... read more 
Image Processing, Computer-Assisted Liver Algorithms Liver Neoplasms Colonic Polyps Humans Neural Networks, Computer

Development of a machine learning model to identify the predictors of the neonatal intensive care unit admission.

Scientific reports Jul 1, 2025
Scientists aim to create a system that can predict the likelihood of newborns being admitted to the neonatal intensive care unit (NICU) by combining various statistical methods. This prediction could potentially reduce the negative health outcomes, d... read more 
Iran Patient Admission Intensive Care Units, Neonatal Male ROC Curve Infant, Newborn Adult Humans Machine Learning Pregnancy Female Retrospective Studies

AI-driven analysis by identifying risk factors of VL relapse in HIV co-infected patients.

Scientific reports Jul 1, 2025
Visceral Leishmaniasis (VL), also known as Kala-Azar, poses a significant global public health challenge and is a neglected disease, with relapses and treatment failures leading to increased morbidity and mortality. This study introduces an explainab... read more 
Machine Learning Female Risk Factors Humans Support Vector Machine Coinfection Recurrence Leishmaniasis, Visceral Proportional Hazards Models Middle Aged HIV Infections Adult Male

Acoustic impedance inversion via voting stacked regression (VStaR) algorithms.

Scientific reports Jul 1, 2025
In this study, we focused on improving acoustic impedance (AI) in seismic exploration. AI is a crucial parameter estimated by multiplying the density of a material by the velocity of an acoustic wave passing through it. A low AI in sandstones and car... read more 

Exploring the spatiotemporal influence of climate on American avian migration with random forests.

Scientific reports Jul 1, 2025
Birds have adapted to climatic and ecological cycles to inform their Spring and Fall migration timings, but anthropogenic global warming has affected these long-establish cycles. Understanding these dynamics is critical for conservation during a chan... read more 
Machine Learning Animals Climate Birds Random Forest Animal Migration Seasons Forests Climate Change Spatio-Temporal Analysis

Assessment of resilience and key drivers of Tibetan villages in Western Sichuan.

Scientific reports Jul 1, 2025
This study employs an integrated analytical framework combining the Social-Ecological System (SES) and Driver-Pressure-State-Impact-Response (DPSIR) models, supplemented by quantitative methodologies including the Entropy Weight Method (EWM), General... read more 

Understanding the role of urban block morphology in innovation vitality through explainable machine learning.

Scientific reports Jul 1, 2025
Innovative activities are a key driver of economic and social development, with urban blocks serving as essential hubs for innovation. However, how urban block morphology shapes innovation vitality remains challenging. This study uses spatial analysi... read more 
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