Artificial Intelligence Medical Compendium

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

Showing 901 to 910 of 6,689 articles

End-to-end feature fusion for jointly optimized speech enhancement and automatic speech recognition.

Scientific reports
Speech enhancement (SE) and automatic speech recognition (ASR) in real-time processing involve improving the quality and intelligibility of speech signals on the fly, ensuring accurate transcription as the speech unfolds. SE eliminates unwanted backg... read more 

Optimization for threat classification of various data types-based on ML model and LLM.

Scientific reports
With the development of AI technology, the number of cyber security threats that exploit it is increasing rapidly, and it is urgent to build an effective security threat detection system to respond to these threats. There is active research on AI-bas... read more 

Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery.

Scientific reports
Hip fractures among the elderly population continue to present significant risks and high mortality rates despite advancements in surgical procedures. In this study, we developed machine learning (ML) algorithms to estimate 30-day mortality risk post... read more 

A novel ST-GCN model based on homologous microstate for subject-independent seizure prediction.

Scientific reports
Due to the lack of validated universal seizure markers, population-level prediction methods often exhibit limited performance. This study proposes homologous microstate dynamic attributes as a generalized, subject-independent seizure marker. Homologo... read more 

The impact of intelligent devices utilization on household medical expenditure of older adults in China.

Scientific reports
With the rapid development of artificial intelligence, there is an increasing utilization of intelligent devices by older adults. The relationship between the utilization of intelligent devices and household medical expenditure has garnered widesprea... read more 

Detection of fasting blood sugar using a microwave sensor and convolutional neural network.

Scientific reports
Monitoring of fasting blood sugar (FBS) is a critical component in the diagnosis and management of diabetes, one of the most widespread chronic diseases globally. Microwave sensing-particularly through microstrip-based sensors-has recently gained att... read more 

Optimizing a hybrid process of electrolysis ultrasound and persulfate for remediation of petroleum contaminated soils using AI models.

Scientific reports
Research uses both RANSAC Regressor and Monte Carlo Optimization to improve the performance of electrolysis/ultrasound/persulfate system which detoxifies petroleum-contaminated soils. The Artificial Intelligence (AI) models used to optimize six proce... read more 

A deep dive into artificial intelligence with enhanced optimization-based security breach detection in internet of health things enabled smart city environment.

Scientific reports
Internet of Health Things (IoHT) plays a vital role in everyday routine by giving electronic healthcare services and the ability to improve patient care quality. IoHT applications and devices become widely susceptible to cyber-attacks as the tools ar... read more 

Recognition of anxiety and depression using gait data recorded by the kinect sensor: a machine learning approach with data augmentation.

Scientific reports
Anxiety and depression disorders are increasingly common, necessitating methods for real-time assessment and early identification. This study investigates gait analysis as a potential indicator of mental health, using the Microsoft Kinect sensor to c... read more 

A multi stage deep learning approach for real-time vehicle detection, tracking, and speed measurement in intelligent transportation systems.

Scientific reports
In the field of intelligent transportation, accurate vehicle detection, tracking, and re-identification are essential tasks that enable real-time monitoring, congestion management, and safety improvements. To address these needs in high-traffic highw... read more