AI Medical Compendium

Predicting Ketamine Exposure in Pediatric Status Epilepticus: A Pharmacokinetic-Machine Learning Approach.

European journal of drug metabolism and pharmacokinetics Apr 3, 2026

BACKGROUND AND OBJECTIVE: Status epilepticus is a life-threatening neurological emergency. Ketamine combined with levetiracetam is a promising therapy being investigated for established status epilepticus. Early drug exposure estimates could inform d... read more

Air quality index prediction using a hybrid CEEMDAN-CNN-IGWO-BiGRU-Attention model.

Scientific reports Apr 3, 2026

Precise forecasting of the Air Quality Index (AQI) is essential for environmental management and public health protection. However, the non-linear and non-stationary nature of AQI time series presents a significant challenge for traditional predictiv... read more

AI-based development and optimization of sealing materials for secondary grouting in methane recovery.

Scientific reports Apr 3, 2026

Multimodal deep learning for international investment arbitration outcome prediction and bilateral investment agreement negotiation strategy optimization.

Scientific reports Apr 3, 2026

International investment arbitration has expanded at a remarkable pace over the past two decades, generating pressing demand for robust outcome prediction tools that can guide strategic decisions. This study presents a multimodal deep learning framew... read more

PRET is a few-shot system for pan-cancer recognition without example training.

Nature cancer Apr 3, 2026

Pathological examination stands as the cornerstone in cancer diagnosis, impacting millions worldwide annually. With the shortage of pathologists globally, artificial intelligence (AI) has emerged rapidly to automate the diagnostics process. However, ... read more

Machine learning prediction of hospitalization outcomes in critically Ill emergency department patients transported by ambulance: A Retrospective Single Center Cohort Study.

BMC emergency medicine Apr 3, 2026

Automatic lateral ventricle and choroid plexus segmentation method in infant brain MR images.

BMC medical imaging Apr 3, 2026

INTRODUCTION: Accurate segmentation of the lateral ventricles (LV) and choroid plexus (CP) in infant brain MRI is essential for understanding cerebrospinal fluid dynamics and early neurodevelopment. However, segmentation methods recently introduced f... read more

Scaling trachoma surveillance in endemic areas using machine learning.

BMC infectious diseases Apr 3, 2026

Objective diagnosis and treatment outcome prediction in major depressive disorder based on a machine learning framework with dried-serum NIRS digital biomarkers.

BMC psychiatry Apr 3, 2026

Intestinal microbiome and acute transplanted kidney rejection - results of a single-center, case-control study.

BMC nephrology Apr 3, 2026

Artificial Intelligence Medical Compendium

Predicting Ketamine Exposure in Pediatric Status Epilepticus: A Pharmacokinetic-Machine Learning Approach.

Air quality index prediction using a hybrid CEEMDAN-CNN-IGWO-BiGRU-Attention model.

AI-based development and optimization of sealing materials for secondary grouting in methane recovery.

Multimodal deep learning for international investment arbitration outcome prediction and bilateral investment agreement negotiation strategy optimization.

PRET is a few-shot system for pan-cancer recognition without example training.

Machine learning prediction of hospitalization outcomes in critically Ill emergency department patients transported by ambulance: A Retrospective Single Center Cohort Study.

Automatic lateral ventricle and choroid plexus segmentation method in infant brain MR images.

Scaling trachoma surveillance in endemic areas using machine learning.

Objective diagnosis and treatment outcome prediction in major depressive disorder based on a machine learning framework with dried-serum NIRS digital biomarkers.

Intestinal microbiome and acute transplanted kidney rejection - results of a single-center, case-control study.

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