Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem

Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem

Khang, Alex; Abdullayev, Vugar; Shukla, Arvind K.; Hrybiuk, Olena

Taylor & Francis Ltd

03/2024

440

Dura

Inglês

9781032547923

15 a 20 dias

Descrição não disponível.
1 Application of Computer Vision (CV) in the Healthcare Ecosystem 2 Artificial Intelligence (AI)-Assisted Computer Vision (CV) in Healthcare Systems 3 Computer Vision (CV)-based Machine Learning (ML) Models for Healthcare System 4 Computer Vision (CV)-Aided Medical Diagnosis for Cardiovascular Disease Detection 5 Artificial Intelligence (AI)-Aided Diagnosis System to Objectively Measure Chronic Pain 6 Artificial Intelligence (AI)-Enabled Technology in Medicine-Advancing Holistic Healthcare Monitoring and Control Systems 7 Medical and Biomedical Signal Processing and Prediction Using EEG Machine and Electroencephalography 8 Artificial Intelligence (AI)-Aided Computer Vision (CV) in Healthcare System 9 Artificial Intelligence (AI) Models for Disease Diagnosis and Prediction of Heart Disease with Artificial Neural Networks (ANN) 10 Harnessing Deep Learning (DL) for Image Inpainting in Healthcare System-Methods and Challenges 11 Skin Cancer Classification Using ConvNeXtLarge Architecture 12 Brain Tumor Detection Using Tensorflow Framework 13 Early Prediction of Sepsis with the Predictive Analysis Model Using 1.5 Million Records 14 An Efficient FPGA Implementation of Approximate Multiply Accumulate Unit for Image and Video Processing Applications in Healthcare Sector 15 Lung Cancer Prediction Using Convolutional Neural Network (CNN) with VGG16 Model 16 Identifying Error and Bias in Chest Radiographic Images for COVID Detection Using Deep Learning Algorithms 17 Forecast of Health Risk for Chronic Kidney Disease: A Comparison between Naive Bayes (NB) and Support Vector Machine (SVM) Models 18 The Performance of Feature Selection Approaches on Boosted Random Forests Algorithm for Predicting Cardiovascular Disease 19 Application of Artificial intelligence (AI) Technologies in Employing Chatbots to Access Mental Health 20 Clinical Decision Support Systems in Smart Medical Ecosystem 21 The Future of Edge Computing for Healthcare Ecosystem 22 Privacy-Aware IoT-Based Multi-Disease Diagnosis Model for Healthcare System 23 Using Big Data to Solve Problems in the Field of Medicine 24 Automations and Robotics Improves Quality Healthcare in the Era of Digital Medical Laboratory
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Smart healthcare system;Computer vision;Machine vision;AI-driven application;AI-integrated IoT technology;Internet of Medical Things;Data visualization;Data analytics;Robotic process automation;Cybersecurity