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Devices and Vaccines

Latest AI and machine learning research in devices and vaccines for healthcare professionals.

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Showing 64-84 of 3,914 articles
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 environm...

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 intelli...

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 pr...

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 an...

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, includi...

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...

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 patie...

XAI-XGBoost: an innovative explainable intrusion detection approach for securing internet of medical things systems.

The Internet of Medical Things (IoMT) has transformed healthcare delivery but faces critical challen...

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...

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 ...

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) ...

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

PURPOSE: Patients with recurrent complaints after total knee arthroplasty may suffer from aseptic im...

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...

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 enviro...

Predicting complications in breast reconstruction: External validation of a machine learning model.

BACKGROUND: Nipple-sparing mastectomy (NSM) with immediate implant-based breast reconstruction provi...

Accuracy and Reliability of Artificial Intelligence Chatbots as Public Information Sources in Implant Dentistry.

PURPOSE: The purpose of this study was to evaluate the accuracy, completeness, comprehensibility and...

Towards a dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention.

While static risk models may identify key driving risk factors, the dynamic nature of risk requires ...

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