Artificial Intelligence Medical Compendium

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

Showing 40,961 to 40,970 of 223,737 articles

Classification of customer retention using hybrid SVC-SDNN to enhance customer relationship management.

PloS one Mar 17, 2026
Many banking and corporate sector organization problems are resolved by clever, creative solutions based on artificial intelligence (AI). Any financial institution has to use AI-enabled churn detection solutions to improve customer relationship manag... read more 

Enhancing cancer drug discovery: QSAR modeling with machine learning and chemical representations.

PloS one Mar 17, 2026
Accurately predicting the bioactivity of small molecules against cancer therapeutic targets remains a significant challenge at the intersection of cheminformatics and drug discovery. This study comprehensively evaluates chemical representations, incl... read more 

Enhancing recommendation diversity and accuracy with product paths and time decay mechanisms.

PloS one Mar 17, 2026
The recommendation algorithm suggests products to users, improving their experience, however, it encounters a challenge of insufficient diversity in the recommended results. This paper proposes Product Path and Time decay enhanced Product-based Neura... read more 

A lightweight deep learning framework for reliable microscopy-based diagnosis of cutaneous leishmaniasis.

PloS one Mar 17, 2026
Cutaneous leishmaniasis (CL) is a neglected tropical and zoonotic disease affecting both human and animal health, for which microscopic examination of Giemsa-stained slides remains the diagnostic reference standard despite being time-consuming and op... read more 

Separating random and deterministic sources of computational noise in explore-exploit decisions.

PLoS computational biology Mar 17, 2026
Human decision making is inherently variable. While this variability is often seen as a sign of suboptimal behavior, both theoretical work in machine learning and empirical human studies suggest that variability can actually be adaptive. An example a... read more 

Hierarchical Crack-Engineered Strain Sensors for Machine-Learning-Enabled Multimodal Recognition and Edge Computing in Ultra-Low-Power Wearables.

Nano letters Mar 17, 2026
Next-generation wearable electronics require multimodal sensing with high sensitivity, a wide linear strain range, and low power consumption, yet existing strain sensing systems face inherent trade-offs among these metrics. Here, we introduce a hiera... read more 

Three-dimensional high-content imaging of unstained soft tissue with subcellular resolution using a laboratory-based X-ray microscope.

Proceedings of the National Academy of Sciences of the United States of America Mar 17, 2026
With increasing interest in studying biological systems across spatial scales-from centimeters down to nanometers-histology continues to be the gold standard for tissue imaging at cellular resolution, providing an essential bridge between macroscopic... read more 

Dual-encoder contrastive learning accelerates enzyme discovery.

Proceedings of the National Academy of Sciences of the United States of America Mar 17, 2026
The ability to engineer enzymes for desired reactions is a cornerstone of modern biotechnology, yet identifying suitable starting proteins remains a critical bottleneck. Although contrastive learning offers a compelling computational approach for enz... read more 

Value of Endobronchial Ultrasound-Derived Radiomics in Differentiating Pulmonary Sarcoidosis from Mediastinal Lymph Node Tuberculosis.

Respiration; international review of thoracic diseases Mar 17, 2026
INTRODUCTION: To explore the feasibility of an ultrasound radiomics machine learning model based on endobronchial ultrasound (EBUS) for differentiating pulmonary sarcoidosis from mediastinal lymph node tuberculosis. METHODS: Clinical characteristics ... read more 

The Montafon proposal: New insights and emerging concepts in pulmonary rehabilitation.

Respiration; international review of thoracic diseases Mar 17, 2026
Background Pulmonary rehabilitation (PR) is beneficial, yet outcome assessment remains inconsistent. A multidisciplinary D-A-CH working group reviewed evidence, introduced new measures, and explored emerging PR concepts. Summary The meeting emphasize... read more 
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