Artificial Intelligence Medical Compendium

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

Showing 1,991 to 2,000 of 200,859 articles

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

Scientific reports May 30, 2026
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 

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

Scientific reports May 30, 2026
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 

Multikingdom microbiome-based machine learning enables multiple sclerosis diagnosis.

NPJ biofilms and microbiomes May 30, 2026
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 

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

Scientific reports May 30, 2026
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 

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

Scientific reports May 30, 2026
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 

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

Scientific reports May 30, 2026
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 

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

NPJ digital medicine May 30, 2026
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 

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

NPJ precision oncology May 30, 2026
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 

Automated leukemia detection from microscopic images using deep transfer learning with explainable AI-based analysis.

Scientific reports May 30, 2026
Leukemia, a life-threatening hematological malignancy, necessitates early and accurate diagnosis for effective treatment. Traditional microscopic examination is often time-consuming and subjective, while most existing deep learning-based studies are ... read more 

Innovation research on college students' mental health management system based on internet of things technology.

Scientific reports May 30, 2026
The mental health management of college students is a challenging process due to its inconsistent variations and action-dependent observations. However, for personal and mental stability and psychological assessment of students, the inconsistent ment... read more 
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