AI Medical Compendium

Uncertainty-Aware adaptive neuro-fuzzy transformer framework for robust multi-center lung disease classification.

Scientific reports Apr 18, 2026

Evaluating and enhancing the performance of large language models in thyroid eye disease through customization and Chain-of-Thought strategies.

Scientific reports Apr 18, 2026

A physics-guided temporal convolutional learning with XGBoost integration for degradation-aware and robust electric vehicle range prediction.

Scientific reports Apr 18, 2026

An implemented AI-driven digital twin architecture for proactive pavement maintenance in Finland.

Scientific reports Apr 18, 2026

Safe-by-redesign guidance for toxic industrial chemicals using explainable artificial intelligence: Introducing the DETOX-QSAR model.

Scientific reports Apr 18, 2026

Interpretable depressive symptoms screening via statistical reasoning-augmented large language models using wearable and environmental data.

Scientific reports Apr 18, 2026

Early assessment of depressive symptoms is essential for scalable and personalized mental health care. We developed a hybrid clinical decision support system (CDSS) that combines interpretable logistic regression with fine-tuned large language models... read more

AttnEffNet-B4: an attention-augmented EfficientNet-B4 framework with fourier transformation for robust multi-disease diagnosis.

Scientific reports Apr 18, 2026

Early and precise disease detection in healthcare plays a vital role for better treatment results, healthier life expectancy, and good quality of care. However, many conventional AI diagnostic models are designed with a narrow focus on a single disea... read more

Predictive models for the occurrence and lymph node metastasis of papillary thyroid carcinoma with regional risk heterogeneity.

NPJ digital medicine Apr 18, 2026

Papillary thyroid carcinoma (PTC) is the most common thyroid malignancy, and cervical lymph node metastasis significantly impacts patient prognosis. This study aimed to develop interpretable artificial intelligence models based on transcriptomics to ... read more

Interactive multimodal disease risk evaluation using a self-service non-invasive device.

Communications medicine Apr 18, 2026

BACKGROUND: Non-communicable diseases such as diabetes, fatty liver disease and chronic kidney disease are major global health burdens that benefit from early-stage detection. However, standard diagnostic methods are often time-consuming and dependen... read more

Patch-to-slide fusion deep learning model for histological diagnosis of early pregnancy loss including hydatidiform mole.

NPJ digital medicine Apr 18, 2026

Distinguishing histological subtypes of early pregnancy loss is crucial for clinical practice. Current gold standards combining pathological and molecular profiling are costly, limiting implementation. We developed a patch-to-slide fusion artificial ... read more

Artificial Intelligence Medical Compendium

Uncertainty-Aware adaptive neuro-fuzzy transformer framework for robust multi-center lung disease classification.

Evaluating and enhancing the performance of large language models in thyroid eye disease through customization and Chain-of-Thought strategies.

A physics-guided temporal convolutional learning with XGBoost integration for degradation-aware and robust electric vehicle range prediction.

An implemented AI-driven digital twin architecture for proactive pavement maintenance in Finland.

Safe-by-redesign guidance for toxic industrial chemicals using explainable artificial intelligence: Introducing the DETOX-QSAR model.

Interpretable depressive symptoms screening via statistical reasoning-augmented large language models using wearable and environmental data.

AttnEffNet-B4: an attention-augmented EfficientNet-B4 framework with fourier transformation for robust multi-disease diagnosis.

Predictive models for the occurrence and lymph node metastasis of papillary thyroid carcinoma with regional risk heterogeneity.

Interactive multimodal disease risk evaluation using a self-service non-invasive device.

Patch-to-slide fusion deep learning model for histological diagnosis of early pregnancy loss including hydatidiform mole.

Popular Topics

Recent Journals

Artificial Intelligence Medical Compendium

Don't Miss the Future of Medicine

Popular Topics

Recent Journals