Artificial Intelligence Medical Compendium

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

Showing 50,231 to 50,240 of 224,814 articles

Concerns About Artificial Intelligence Feedback Validation in the 2-Sigma Platform.

Academic medicine : journal of the Association of American Medical Colleges
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ProtRAP-LM: Efficient Protein Relative Accessibility Prediction and Proteome-wide Membrane Protein Screening.

Genomics, proteomics & bioinformatics
Membrane proteins play pivotal roles in cellular signaling and transport, making them prime targets for therapeutic intervention. Therefore, rapid screening and accurate property prediction of these proteins are essential. Recently, we proposed a new... read more 

Benchmarking Generative AI Protein Models Reveals Differences Between Structural and Sequence-based Approaches.

Genomics, proteomics & bioinformatics
Recent advances in artificial intelligence have led to the development of generative models for de novo protein design. We compared 13 state-of-the-art generative protein models, assessing their ability to produce feasible, diverse, and novel protein... read more 

Toward an explainable AI-Based clinical decision support system for predicting adverse outcomes in Rhabdomyolysis.

Informatics for health & social care
Rhabdomyolysis is a severe condition with high morbidity and mortality, driven by complications like acute kidney injury. Early risk stratification remains challenging as traditional scores fail to capture complex data patterns. This study lays the f... read more 

An overview of Parkinson's disease: a narrative review.

Informatics for health & social care
Parkinson's disease (PD) is a degenerative neurological condition defined by a wide range of motor and non-motor symptoms that can affect function to varying degrees. One of the hallmarks of PD is postural instability (PI), along with rest tremor, st... read more 

Methodological Frameworks for Computational Electrocatalysis: From Theory to Practice.

Small methods
Modeling electrocatalytic reactions at solid-liquid interfaces requires capturing both the quantum-mechanical processes at the electrode surface and the complex response of the surrounding electrochemical environment. This review examines the main th... read more 

Breathomics Analysis for Early Diagnosis of Lung Cancer Based on PTR-TOF MS: A Large Sample Size Cross-Sectional Study.

Respirology (Carlton, Vic.)
INTRODUCTION: Lung cancer remains a leading cause of cancer mortality globally, emphasising the critical need for non-invasive and cost-effective early screening methods. Breath analysis, detecting disease-specific volatile organic compounds (VOCs), ... read more 

Research Progress in Machine Learning Techniques for Metal-Organic Framework Screening.

ACS applied materials & interfaces
Metal-organic frameworks (MOFs) are prime candidate materials for gas adsorption and separation owing to their exceptional porosity and structural tunability. However, the nearly infinite chemical space and exponentially growing number of candidate s... read more 

The Prediction Paradox: AI, Genetics, and Occult Metastasis in Thyroid Cancer.

The Journal of clinical endocrinology and metabolism
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Early prediction of transfusion requirements in trauma patients using explainable machine learning.

Transfusion
INTRODUCTION: Hemorrhagic shock is the most common preventable cause of death in trauma patients. Early transfusion significantly improves survivability in patients suffering from hemorrhagic shock. We hypothesized that machine learning models could ... read more