Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems
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Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems
Agarwal, Deepshikha; Tripathi, Khushboo; Krishen, Kumar
Taylor & Francis Ltd
01/2025
310
Mole
9781032366456
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1. Artificial Intelligence (AI) in Healthcare: Issues, Applications and Future. 2 Artificial Intelligence in Medical Imaging for Developing Countries: Challenges and Opportunities. 3. Artificial Intelligence in Medical Imaging. 4. Medical Image Fusion: Transforms Techniques Based Comparative Analysis for Brain Disease. 5. Artificial intelligence and medical visualization. 6. Machine Learning Models for Early Diagnosis of Depressive Mental Affliction. 7. Non-Invasive Technique of Breast Cancer Diagnosis Using Interpretation of Fractal Dimension of Cells Nuclei in Buccal Epithelium. 8. Fractionalization of Early Lung Tumour Regions and Detection Using a Low Intricacy Approach. 9. Reshaping the Pathology: An AI Perspective. 10. Influence of community mobility habits on the COVID-19 pandemic: A case study on India. 11. Impact of Social Media Platforms on Vaccination Drive during COVID-19 Pandemic in India. 12. Pneumonia Detection using Chest X-Ray with the help of Deep Learning. 13. AI Technique from Type CN2 Rule Induction for Industry 4.0 with Healthcare Problem. 14. Artificial Intelligence Issues in Healthcare. 15. Wearable Technologies in AI and Smart HealthCare. 16. A Heterogeneous Medical Imaging Social Security Analysis in Wireless Sensor Network. 17. Wearable Technology: Concepts, Classification and Applications. 18. Analysis Of Cardiac Dynamics And Assessment Of Arrhythmia By Classifying Heartbeat Using Electrocardiogram
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Medical Imaging;Machine Learning;Fractionalization;Deep Learning;Smart HealthCare;Random Subspace Method;Cumulative Function Distribution;Top Hat Filtering;Severe Acute Respiratory Syndrome Coronavirus;Sub-band Coefficients;Random Forest;Wearable Devices;Watershed Transforms;Ml Model;Support Vector Machines;Wearable Technology;Mri Scan;ARIMA Model;Smite;Buccal Epithelium;Marker Controlled Watershed Segmentation;CT Scan Image;Random Forest Algorithm;DP;Pseudo Gibbs Phenomena;Pet Image;Vaccination Drive;Vaccine Hesitancy;Quadtree Decomposition;MIT BIH Arrhythmia
1. Artificial Intelligence (AI) in Healthcare: Issues, Applications and Future. 2 Artificial Intelligence in Medical Imaging for Developing Countries: Challenges and Opportunities. 3. Artificial Intelligence in Medical Imaging. 4. Medical Image Fusion: Transforms Techniques Based Comparative Analysis for Brain Disease. 5. Artificial intelligence and medical visualization. 6. Machine Learning Models for Early Diagnosis of Depressive Mental Affliction. 7. Non-Invasive Technique of Breast Cancer Diagnosis Using Interpretation of Fractal Dimension of Cells Nuclei in Buccal Epithelium. 8. Fractionalization of Early Lung Tumour Regions and Detection Using a Low Intricacy Approach. 9. Reshaping the Pathology: An AI Perspective. 10. Influence of community mobility habits on the COVID-19 pandemic: A case study on India. 11. Impact of Social Media Platforms on Vaccination Drive during COVID-19 Pandemic in India. 12. Pneumonia Detection using Chest X-Ray with the help of Deep Learning. 13. AI Technique from Type CN2 Rule Induction for Industry 4.0 with Healthcare Problem. 14. Artificial Intelligence Issues in Healthcare. 15. Wearable Technologies in AI and Smart HealthCare. 16. A Heterogeneous Medical Imaging Social Security Analysis in Wireless Sensor Network. 17. Wearable Technology: Concepts, Classification and Applications. 18. Analysis Of Cardiac Dynamics And Assessment Of Arrhythmia By Classifying Heartbeat Using Electrocardiogram
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Medical Imaging;Machine Learning;Fractionalization;Deep Learning;Smart HealthCare;Random Subspace Method;Cumulative Function Distribution;Top Hat Filtering;Severe Acute Respiratory Syndrome Coronavirus;Sub-band Coefficients;Random Forest;Wearable Devices;Watershed Transforms;Ml Model;Support Vector Machines;Wearable Technology;Mri Scan;ARIMA Model;Smite;Buccal Epithelium;Marker Controlled Watershed Segmentation;CT Scan Image;Random Forest Algorithm;DP;Pseudo Gibbs Phenomena;Pet Image;Vaccination Drive;Vaccine Hesitancy;Quadtree Decomposition;MIT BIH Arrhythmia
