Artificial Intelligence Medical Compendium

Few-Shot Learning (FSL) enables models to learn from just a few examples of new classes by leveraging knowledge from base classes. While FSL has made significant strides, its vulnerability to adversarial attacks-especially with limited data-has been ... read more 

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In recent years, social media data has been widely applied in disaster management due to its large data volume, diverse content, low acquisition cost, and immediacy. However, the primary challenge in leveraging social media data for flood disaster ma... read more 

BACKGROUND: Glioblastoma (GBM) is a highly prevalent and aggressive type of brain tumor characterized by profound molecular complexity and poor prognosis. While conventional biomarker studies focus on highly significant genes or proteins associated w... read more 

OBJECTIVE: A substantial proportion of patients (12 %-25 %) with recent small subcortical infarction (RSSI) suffer poor functional outcomes at 3 months. Despite the identification of prognostic factors, a significant gap exists in predictive modeling... read more 

Monitoring total suspended solids (TSS) in lakes at a global scale is critical for understanding lake ecosystem responses to climate change and anthropogenic activities. However, reliable retrieval methods for TSS global mapping remain elusive due to... read more 

Existing data-driven models still exhibit shortcomings during short-duration precipitation events, with forecasts lacking multi-scale characteristics and overall intensity predictions tending to be low. Concurrently, improving forecasting accuracy of... read more 

INTRODUCTION: Diabetic foot ulcer (DFU) assessment using the SINBAD system is essential for clinical decision-making but often limited by access to specialists. This study presents a mobile application powered by a lightweight Convolutional Neural Ne... read more 

PURPOSE: The progression of acute kidney injury (AKI) to end-stage kidney disease (ESKD) poses challenges due to high risks of comorbidities and poor outcomes. This study aimed to develop and validate machine learning survival models for predicting E... read more 

Crop diversification has been increasingly suggested as a sustainable approach to mitigate climate change impacts by enhancing soil organic carbon (SOC) sequestration. In intensive agricultural regions, such as the Po Valley in Italy, reliance on mon... read more