Artificial Intelligence Medical Compendium

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

Showing 35,881 to 35,890 of 223,137 articles

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

BMC medical imaging
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 

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

Nature cancer
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 

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

Scientific reports
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 

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

Scientific reports
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 

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

European journal of drug metabolism and pharmacokinetics
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 

A unified GRU model for cryptocurrency price prediction and harsh price movement detection using enhanced sentiment analysis.

Scientific reports
Predicting cryptocurrency price movements using social media sentiment remains challenging due to the noisy, heterogeneous, and rapidly evolving nature of online signals. While prior studies commonly combine sentiment analysis with deep learning mode... read more