Artificial Intelligence Medical Compendium

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

Showing 42,041 to 42,050 of 223,853 articles

Assessing the impact of groundwater abstraction and concrete dam fractures on saltwater intrusion using numerical modeling and interpretable machine learning.

Scientific reports Mar 13, 2026
Reliable prediction of SWI is essential for protecting coastal groundwater. In this study, the SWI wedge length in a sloping coastal aquifer controlled by groundwater abstraction and a fractured underground dam is estimated. To achieve this, a datase... read more 

Cattle lameness detection using depth image and deep learning.

Scientific reports Mar 13, 2026
Lameness in cattle is a significant welfare and economic concern. To address this, we developed an end-to-end deep learning framework for 24/7 lameness monitoring using top-down depth images of cattle. The framework integrates three key stages: insta... read more 

A Smartphone-based Comprehensive Dataset of Annotated Oral Cavity Images for Enhanced Oral Disease Diagnosis.

Scientific data Mar 13, 2026
This study introduces a SMARTphone-based, expert annotated dataset of Oral Mucosa images (SMART-OM), collected to facilitate the development of Artificial Intelligence and Machine Learning (AI/ML) technologies for automated diagnosis of Oral Cancer (... read more 

DeepStrataAge: an interpretable deep-learning clock that reveals stage- and sex-divergent DNA methylation aging dynamics.

npj aging Mar 13, 2026
Aging is the strongest risk factor for chronic diseases such as cardiovascular disease, Alzheimer's, and cancer. DNA methylation (DNAm) clocks offer a promising measure of biological age, but most rely on linear models that miss non-linear dynamics a... read more 

Deployment of a machine learning-based predictive system for childhood diarrhea in Sub-Saharan Africa.

Scientific reports Mar 13, 2026
Diarrhea remains a leading cause of child mortality in Sub-Saharan Africa, necessitating advanced predictive tools for early intervention. Despite the growing adoption of machine learning in healthcare, gaps persist in deploying models as scalable, r... read more 

Federated clinical concept and disease semantic learning for congenital heart disease diagnosis.

NPJ digital medicine Mar 13, 2026
Effective first-trimester screening for congenital heart disease (CHD) remains an unmet clinical need, hindered by technical constraints and the lack of validated diagnostic tools. While artificial intelligence (AI) offers promise, its progress is re... read more 

Interpretable machine learning with SHAP predicts honest behavior from personality traits and physiological data.

Scientific reports Mar 13, 2026
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A machine learning framework for personalized exercise prescription based on BMI and physical fitness assessment.

Scientific reports Mar 13, 2026
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'RAMmageddon' hits labs: AI-driven memory shortage is impacting science.

Nature Mar 13, 2026
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Z-Calling: a tool for A/Z (2,6-diaminopurine) base calling and dZ-DNA detection using PacBio HiFi reads.

Communications biology Mar 13, 2026
The natural occurrence of 2,6-diaminopurine (Z) as a substitute for adenine (A) in certain bacteriophage genomes has profound evolutionary implications and promising biotechnological potential. Progress in this field, however, has been stymied by the... read more 
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