Artificial Intelligence Medical Compendium

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

Showing 7,791 to 7,800 of 207,466 articles

Integrating handcrafted and deep learning MRI signatures: an interpretable framework for predicting chemotherapy benefit in glioma.

NPJ precision oncology
The molecular and spatial heterogeneity of gliomas severely limits accurate prediction of postoperative adjuvant chemotherapy efficacy, representing a critical bottleneck in achieving personalized treatment decisions. Conventional imaging assessments... read more 

Deep learning based histomorphological phenotyping and prognostic stratification for combined SCLC and LCNEC.

NPJ digital medicine
Prognostic stratification for combined small and large cell neuroendocrine lung carcinoma (cSCLC-LCNEC) remains challenging. We introduce GTBIS, an interpretable deep learning model for histomorphological phenotyping and prognostic stratification of ... read more 

Explainable ensemble machine learning for predicting diabetes mellitus and identifying key risk factors: a population-based study in northern Bangladesh.

Scientific reports
Diabetes mellitus (DM) is an escalating global public health concern, with a rapidly increasing burden in low- and middle-income countries, including Bangladesh. Despite its growing prevalence and associated complications such as cardiovascular disea... read more 

A lightweight deep learning model with channel attention for kidney cell classification from microscopy images.

Scientific reports
Accurate identification of renal cell types within tissue architecture is fundamental for understanding normal kidney physiology and detecting early pathological changes. While traditional histological examination is time-intensive and dependent on e... read more 

Determinants of protein corona adsorption and abundance revealed by interpretable machine learning across nanoparticle systems.

Scientific reports
Nanoparticles (NPs) hold significant potential in biotechnology, including molecular sensing, controlled release systems, and therapeutic applications. However, their behavior in biological environments remains difficult to predict because proteins r... read more 

Multikingdom microbiome-based machine learning enables multiple sclerosis diagnosis.

NPJ biofilms and microbiomes
Emerging evidence suggests a role for the gut bacteria in the pathogenesis of multiple sclerosis (MS); however, the role of other microorganisms and their diagnostic potential for MS remain poorly explored. Here, we analyzed large-scale metagenomic d... read more 

Long-term continuous monitoring of wearable ECG signals for atrial fibrillation detection.

Scientific reports
Atrial Fibrillation (AFib) is the most common sustained cardiac arrhythmia and is associated with substantial morbidity and mortality, including increased risk of stroke and heart failure. Accurate detection of AFib in long-term electrocardiographic ... read more 

Quantum-safe cyber digital twin architectures for proactive threat forecasting and adaptive defense.

Scientific reports
As the recent developments in digital infrastructures have led to increased risk of cyber threats. Among them, quantum technology assisted threats signal an unprecedented and urgent threat type referring to cyberattacks that utilize quantum computing... read more 

Machine learning-driven image encryption using SVM for enhanced security and computational efficiency.

Scientific reports
A balance between security and computational efficiency is a key goal in image encryption. Traditional methods involve a number of calculations to achieve satisfactory resilience and make it hard to use in real-time environments. This research offers... read more 

Intelligent financial forecasting using transformers, neuro-symbolic AI, and agent-based systems.

Scientific reports
Forecasting the stock market is a difficult task because of the volatile price movements and complex temporal dependencies. Established models frequently do not realize these unstable trends, which leads to changeable forecasting. This paper introduc... read more