Ben Othman Soufiene was Assistant Professor of computer science at the University of Gabes, Tunisia, from 2016 to 2021. He received his PhD in computer science from Manouba University in 2016 for his dissertation on secure data aggregation in wireless sensor networks. He also earned an MS from Monastir University in 2012. His research interests focus on the Internet of Medical Things, wireless body sensor networks, wireless networks, artificial intelligence, machine learning, and big data. Chinmay Chakraborty is Assistant Professor in the Department of Electronics and Communication Engineering, BIT Mesra, India, and a Postdoctoral Fellow of the Federal University of Piauí, Brazil. His primary areas of research include wireless body area networks, Internet of Medical Things (IoMT), point-of-care diagnosis, mHealth/e-health, and medical imaging. Chakraborty is the co-editor of many books on Smart IoMT, healthcare technology, and sensor data analytics.

• 1 Medical Image Detection and Recognition Using Machine Learning and Deep Learning2 Multiple Lung Disease Prediction Using X-Ray Images Based on Deep Convolutional Neural Networks3 Analysis of Machine Learning and Deep Learning in Health Informatics, and Their Application4 Automated Acute Lymphoblastic Leukemia Detection Using Blood Smear Image Analysis5 Smart Digital Healthcare Solutions Using Medical Imaging and Advanced AI Techniques6 Efficient and Fast Lung Disease Predictor Model7 Artificial Intelligence Used to Recognize Fetal Planes Based on Ultrasound Scans during Pregnancy8 Artificial Intelligence Techniques for Cancer Detection from Medical Images9 Handling Segmentation and Classification Problems in Deep Learning for Identification of Interstitial Lung Disease10 Computer Vision Approaches in Radiograph Image Analysis: A Targeted Review of Current Progress, Challenges, and Future Perspective11 Deep Learning Methods for Brain Tumor Segmentation12 Face Mask Detection and Temperature Scanning for the COVID-19 Surveillance System Based on Deep Learning Models13 Diabetic Disease Prediction Using Machine Learning Models and Algorithms for Early Classification and Diagnosis Assessment14 Defeating Alzheimer's: AI Perspective from Diagnostics to Prognostics: Literature Summary

Ben Othman Soufiene was Assistant Professor of computer science at the University of Gabes, Tunisia, from 2016 to 2021. He received his PhD in computer science from Manouba University in 2016 for his dissertation on secure data aggregation in wireless sensor networks. He also earned an MS from Monastir University in 2012. His research interests focus on the Internet of Medical Things, wireless body sensor networks, wireless networks, artificial intelligence, machine learning, and big data. Chinmay Chakraborty is Assistant Professor in the Department of Electronics and Communication Engineering, BIT Mesra, India, and a Postdoctoral Fellow of the Federal University of Piauí, Brazil. His primary areas of research include wireless body area networks, Internet of Medical Things (IoMT), point-of-care diagnosis, mHealth/e-health, and medical imaging. Chakraborty is the co-editor of many books on Smart IoMT, healthcare technology, and sensor data analytics.

• 1 Medical Image Detection and Recognition Using Machine Learning and Deep Learning2 Multiple Lung Disease Prediction Using X-Ray Images Based on Deep Convolutional Neural Networks3 Analysis of Machine Learning and Deep Learning in Health Informatics, and Their Application4 Automated Acute Lymphoblastic Leukemia Detection Using Blood Smear Image Analysis5 Smart Digital Healthcare Solutions Using Medical Imaging and Advanced AI Techniques6 Efficient and Fast Lung Disease Predictor Model7 Artificial Intelligence Used to Recognize Fetal Planes Based on Ultrasound Scans during Pregnancy8 Artificial Intelligence Techniques for Cancer Detection from Medical Images9 Handling Segmentation and Classification Problems in Deep Learning for Identification of Interstitial Lung Disease10 Computer Vision Approaches in Radiograph Image Analysis: A Targeted Review of Current Progress, Challenges, and Future Perspective11 Deep Learning Methods for Brain Tumor Segmentation12 Face Mask Detection and Temperature Scanning for the COVID-19 Surveillance System Based on Deep Learning Models13 Diabetic Disease Prediction Using Machine Learning Models and Algorithms for Early Classification and Diagnosis Assessment14 Defeating Alzheimer's: AI Perspective from Diagnostics to Prognostics: Literature Summary

Ben Othman Soufiene was Assistant Professor of computer science at the University of Gabes, Tunisia, from 2016 to 2021. He received his PhD in computer science from Manouba University in 2016 for his dissertation on secure data aggregation in wireless sensor networks. He also earned an MS from Monastir University in 2012. His research interests focus on the Internet of Medical Things, wireless body sensor networks, wireless networks, artificial intelligence, machine learning, and big data. Chinmay Chakraborty is Assistant Professor in the Department of Electronics and Communication Engineering, BIT Mesra, India, and a Postdoctoral Fellow of the Federal University of Piauí, Brazil. His primary areas of research include wireless body area networks, Internet of Medical Things (IoMT), point-of-care diagnosis, mHealth/e-health, and medical imaging. Chakraborty is the co-editor of many books on Smart IoMT, healthcare technology, and sensor data analytics.

• 1 Medical Image Detection and Recognition Using Machine Learning and Deep Learning2 Multiple Lung Disease Prediction Using X-Ray Images Based on Deep Convolutional Neural Networks3 Analysis of Machine Learning and Deep Learning in Health Informatics, and Their Application4 Automated Acute Lymphoblastic Leukemia Detection Using Blood Smear Image Analysis5 Smart Digital Healthcare Solutions Using Medical Imaging and Advanced AI Techniques6 Efficient and Fast Lung Disease Predictor Model7 Artificial Intelligence Used to Recognize Fetal Planes Based on Ultrasound Scans during Pregnancy8 Artificial Intelligence Techniques for Cancer Detection from Medical Images9 Handling Segmentation and Classification Problems in Deep Learning for Identification of Interstitial Lung Disease10 Computer Vision Approaches in Radiograph Image Analysis: A Targeted Review of Current Progress, Challenges, and Future Perspective11 Deep Learning Methods for Brain Tumor Segmentation12 Face Mask Detection and Temperature Scanning for the COVID-19 Surveillance System Based on Deep Learning Models13 Diabetic Disease Prediction Using Machine Learning Models and Algorithms for Early Classification and Diagnosis Assessment14 Defeating Alzheimer's: AI Perspective from Diagnostics to Prognostics: Literature Summary