Artificial Intelligence Medical Compendium

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

Showing 34,671 to 34,680 of 221,633 articles

LSTM-CNN hybrid model for E-commerce talent demand prediction and intelligent program optimization in vocational colleges under the double first-class initiative.

Scientific reports
This study develops an intelligent e-commerce talent demand prediction system built on a hybrid Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) architecture, designed to support vocational college program optimization under China... read more 

Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical staining.

NPJ digital medicine
The differentiation between pathological subtypes of non-small cell lung cancer (NSCLC) is an essential step in guiding treatment options and prognosis. However, current clinical practice relies on multi-step staining and labelling processes that are... read more 

Artificial intelligence-powered evaluation model for English translation education in university: combining quantitative and qualitative methods.

Scientific reports
Assessing students' learning outcomes and abilities has always been a key link for English translation education in universities. However, traditional evaluation methods often face problems such as strong subjectivity and long time consumption, and i... 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 

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 

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 

Clinical implementation of 3D deep learning techniques in predicting touch-up lesions for atrial fibrillation patients undergoing cryoablation.

International journal of cardiology. Heart & vasculature
BACKGROUND: Atrial fibrillation (AF) is a common heart rhythm disorder that can be treated with cryoballoon ablation (CBA). CBA occasionally requires additional radiofrequency-based touch-up ablation due to anatomical challenges. This study developed... read more 

A fully homomorphic encryption federated learning architecture for privacy preserving in industrial internet of things.

MethodsX
We are currently entering the fifth revolution of industry - Industry 5.0. IIoT is the domain where massive quantities of data are flourished by the associated devices in an industry on a daily basis. To realize industry 4.0, the Industrial internet ... read more