Devices and Vaccines

Air-ground collaborative multi-source orbital integrated detection system: Combining 3D imaging and intrusion recognition.

With the rapid expansion of railway networks globally, ensuring rail infrastructure safety through efficient detection methods has become critical. Traditional inspection systems face limitations in flexibility, adaptability to adverse weather, and multifunctional integration. This study proposes a ground-air collaborative multi-source detection system that integrates 3D light detection and rangin...

A systematic review of machine learning approaches in cochlear implant outcomes.

Cochlear implants (CIs) have transformed the lives of over one million individuals with hearing impairment, including children as young as nine months. This systematic review critically examines the current literature on the application of machine learning (ML) techniques for predicting CI outcomes. A comprehensive search identified 20 relevant studies. Imaging-based studies demonstrated high pred...

Laterally Gated CuInPS Ferroelectric Field Effect Transistors for Neuromorphic Computing.

With the rapid development of artificial intelligence (AI) technologies, the demand for data storage and neuromorphic in-memory computing has been inc...

Development of machine learning prediction models for systemic inflammatory response following controlled exposure to a live attenuated influenza vaccine in healthy adults using multimodal wearable biosensors in Canada: a single-centre, prospective controlled trial.

BACKGROUND: Presymptomatic or asymptomatic immune system signals and subclinical physiological changes might provide a more objective measure of early...

Comparative analysis of model compression techniques for achieving carbon efficient AI.

The growing computational demands of models, such as BERT, have raised concerns about their environmental impact. This study addresses the pressing ne...

Performance of two different artificial intelligence models in dental implant planning among four different implant planning software: a comparative study.

BACKGROUND: The integration of artificial intelligence (AI) in dental implant planning has emerged as a transformative approach to enhance diagnostic ...

AI and IoT-powered edge device optimized for crop pest and disease detection.

Climate change exacerbates the challenges of maintaining crop health by influencing invasive pest and disease infestations, especially for cereal crop...

Classifying and diagnosing Alzheimer's disease with deep learning using 6735 brain MRI images.

Traditional diagnostic methods for Alzheimer's disease often suffer from low accuracy and lengthy processing times, delaying crucial interventions and...

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

With the rapid development of artificial intelligence, there is an increasing utilization of intelligent devices by older adults. The relationship bet...

Synergistic Approaches to Minimize Device Footprint and Energy Consumption in Vertical-Channel Synapse Transistors Using an InGaZnO Active Layer via Spacer Engineering of HfO.

In order to address the limitations of conventional von Neumann architectures in terms of deep neural networks, neuromorphic computing has been propos...

Language models learn to represent antigenic properties of human influenza A(H3) virus.

Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and circulating viruses, it is important to assess th...

Preoperative prediction of major adverse outcomes after total arch replacement in acute type A aortic dissection based on machine learning ensemble.

A machine learning model was developed and validated to predict postoperative complications in patients with acute type A aortic dissection (ATAAD) wh...

Analyzing mental stress in Indian students through advanced machine learning and wearable technologies.

Mental stress is a prevalent issue in modern society, and detecting and classifying it accurately is crucial for effective interventions and treatment...

Eff-ReLU-Net: a deep learning framework for multiclass wound classification.

Chronic wounds have emerged as a significant medical challenge due to their adverse effects, including infections leading to amputations. Over the pas...

Enhanced E-commerce decision-making through sentiment analysis using machine learning-based approaches and IoT.

E-commerce is a vital component of the world economy, providing people with a simple and convenient method for shopping and enabling businesses to exp...

Genetic Deconvolution of Embryonic and Maternal Cell-Free DNA in Spent Culture Medium of Human Preimplantation Embryo Through Deep Learning.

Noninvasive preimplantation genetic testing for aneuploidy based on embryonic cell-free DNA (cfDNA) released in spent embryo culture media (SECM) has ...

Utility of machine learning algorithms in classification of progressive cognitive impairment in Alzheimer's disease: A retrospective cohort based on China.

BackgroundDistinct risk factors influence Alzheimer's disease (AD) stage stratification, yet effective tools for early diagnosis and prognosis remain ...

Automation in tibial implant loosening detection using deep-learning segmentation.

PURPOSE: Patients with recurrent complaints after total knee arthroplasty may suffer from aseptic implant loosening. Current imaging modalities do not...

Walking Backward to Ensure Risk Management of Large Language Models in Medicine.

This paper examines in what way providers of specialized Large Language Models (LLM) pre-trained and/or fine-tuned on medical data, conduct risk manag...

High-Temperature Resilient Neuromorphic Device Based on Optically Configured Monolayer MoS for Cognitive Computing.

High-temperature neuromorphic devices are vital for space exploration and operations in harsh environments such as manufacturing units. To fulfil this...