Revolutionizing Healthcare: Impact of Artificial Intelligence on Diagnosis, Treatment, and Patient Care
portes grátis
Revolutionizing Healthcare: Impact of Artificial Intelligence on Diagnosis, Treatment, and Patient Care
Abraham, Ajith; Kumar, Chandan Jyoti; Singh, Thipendra P.; Igulu, Kingsley Theophilus
Springer International Publishing AG
03/2025
342
Dura
9783031808128
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Introduction to Intelligent Techniques in Healthcare.- Kuramoto Phase Model Possible New Effects of Neuronal Dynamics.- Object Detection in the Healthcare Industry Using YOLO A Better Way Than CNN.- A Study on Performance of Ensemble Based Classifiers on Healthcare Data.- Pre Diagnosis of Cardiovascular Diseases through Machine Learning and Deep Learning Techniques Using Clinical Parameters.- Machine Learning Aided Breast Cancer Detection Towards Reducing Mortality Rates.- Advancements in Diabetic Retinopathy Detection Using Deep Learning.- Advancements in Computer Aided Diagnosis Systems for Mammographic Mass Detection A Comprehensive Review.-Automated Detection of Oral Cancer through Deep Learning A Histopathological Approach.- Deep Learning Driven CNN Models for Enhanced Brain Tumor Classification.- Improving Remote Patient Monitoring and Care Using Machine Learning.- Detecting Depression Using Textual Data from Social Media.- Machine Learning in Addiction Research Advancements, Challenges, and Future Directions.- MindEase Systematic Review for Unraveling Mental Health with Machine Learning Approach in Adults.- Early Detection of Mental Health Conditions and Advising System Using Artificial Intelligence.- Virtual Health Assistants AI in Patient Engagement.- Revolutionizing Electronic Health Records with AI in Hospitals for Patient Benefit.- Ethical Considerations in AI Enabled Healthcare.- Overcoming Challenges in the Integration of AI in Healthcare.- AI's Potential Embracing AI in the Future of Healthcare.- Strategies for AI in Healthcare Implementation.
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Computational Intelligence;Artificial Intelligence;Smart Healthcare;Medical Imaging;Smart Medical Diagnosis;Mental Healthcare;Personalizing Patient Experience;Precision Medication
Introduction to Intelligent Techniques in Healthcare.- Kuramoto Phase Model Possible New Effects of Neuronal Dynamics.- Object Detection in the Healthcare Industry Using YOLO A Better Way Than CNN.- A Study on Performance of Ensemble Based Classifiers on Healthcare Data.- Pre Diagnosis of Cardiovascular Diseases through Machine Learning and Deep Learning Techniques Using Clinical Parameters.- Machine Learning Aided Breast Cancer Detection Towards Reducing Mortality Rates.- Advancements in Diabetic Retinopathy Detection Using Deep Learning.- Advancements in Computer Aided Diagnosis Systems for Mammographic Mass Detection A Comprehensive Review.-Automated Detection of Oral Cancer through Deep Learning A Histopathological Approach.- Deep Learning Driven CNN Models for Enhanced Brain Tumor Classification.- Improving Remote Patient Monitoring and Care Using Machine Learning.- Detecting Depression Using Textual Data from Social Media.- Machine Learning in Addiction Research Advancements, Challenges, and Future Directions.- MindEase Systematic Review for Unraveling Mental Health with Machine Learning Approach in Adults.- Early Detection of Mental Health Conditions and Advising System Using Artificial Intelligence.- Virtual Health Assistants AI in Patient Engagement.- Revolutionizing Electronic Health Records with AI in Hospitals for Patient Benefit.- Ethical Considerations in AI Enabled Healthcare.- Overcoming Challenges in the Integration of AI in Healthcare.- AI's Potential Embracing AI in the Future of Healthcare.- Strategies for AI in Healthcare Implementation.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
