AI Medical Compendium

Machine Learning-based Diagnostic Model Combined with Chinese Natural Language Processing for Surgical Site Infections: Development and Validation.

The Journal of hospital infection Mar 5, 2026

BACKGROUND: Surgical site infections (SSI) is a major healthcare-associated complication, yet early detection remains challenging. OBJECTIVE: To develop and validate a machine learning-based predictive model for the detection of SSI in Chinese surgic... read more

Unraveling the connection between PFOA and bladder cancer: A study integrating network toxicology, molecular docking, and experimental validation.

Toxicology and applied pharmacology Mar 5, 2026

PFOA, an environmental pollutant linked to bladder cancer, has unclear molecular mechanisms. Integrating transcriptomic data with network toxicology and machine learning, we identified 125 shared genes related to PFOA and bladder cancer. Machine lear... read more

Development of machine-learning models to diagnose influenza among international travellers based on symptoms and epidemiological information.

Travel medicine and infectious disease Mar 5, 2026

INTRODUCTION: The importation of infectious diseases has increased dramatically in recent years. The diagnosis of such diseases has traditionally been based on symptoms, as well as blood and biochemical tests. In this study, we developed machine-lear... read more

Preparing Medical Students for the Future of AI in Medicine.

The American journal of medicine Mar 5, 2026

Early Prediction of Standing at Discharge in Moderate-to-Severe TBI: A Clinical Machine Learning Model Integrating Modifiable and Nonmodifiable Factors.

Archives of physical medicine and rehabilitation Mar 5, 2026

OBJECTIVE: To develop and internally validate a machine learning model to predict favorable standing ability at hospital discharge in patients with moderate-to-severe traumatic brain injury (TBI), incorporating both modifiable and nonmodifiable clini... read more

Derivation of machine learning brain aging biomarkers for a set of forty thousand functional connectomes.

Brain research bulletin Mar 5, 2026

Various Magnetic Resonance Imaging modalities were developed to explore the brain. Among them, functional MRI is of key importance for studying brain activity and its neural substrates. Recent works have pointed out that machine learning can use neur... read more

Innovative model-optimized machine learning for high-accuracy predicting and exploring nitrogen transformation in biomass pyrolysis.

Bioresource technology Mar 5, 2026

To enhance the environmental benefits of producing "zero-carbon" fuels from waste biomass pyrolysis, it is essential to suppress the formation of nitrogen oxides (NOx) at the source. The key lies in precisely regulating the migration and transformati... read more

Machine-learning-aided predicting anaerobic digestion of the aqueous phase by-product from biomass hydrothermal conversion.

Bioresource technology Mar 5, 2026

A significant amount of aqueous phase (AP) by-products is retained after hydrothermal treatment (HTT) of biomass feedstock, and it can be converted into methane using anaerobic digestion (AD). However, experimentally investigating the effects of biom... read more

Advances in the application of photodynamic diagnosis in Skin Tumors.

Photodiagnosis and photodynamic therapy Mar 5, 2026

Photodynamic Diagnosis (PDD) is a non-invasive imaging technique. It relies on a photosensitizer that, when activated by a specific light source, causes metabolically active tissues like tumors to emit visible red fluorescence. PDD offers high sensit... read more

Improved image quality and reduced acquisition time in brain MRI using deep learning-based reconstruction: A quantitative and subjective assessment compared to standard MPRAGE in 0.55 T MRI.

Magnetic resonance imaging Mar 5, 2026

PURPOSE: To assess the impact of deep learning (DL)-based image reconstruction on quantitative and subjective image quality in brain MRI at 0.55 T by comparing DL-reconstructed MPRAGE with standard MPRAGE using comparable acquisition geometry and tim... read more

Artificial Intelligence Medical Compendium