Advancements in Clinical Medicine

• #1. Revolutionizing Biometrics With AI-Enhanced X-Ray and MRI Analysis
• #2. Domain Generalization and Multidimensional Approach for Brain MRI Segmentation Using Contrastive Representation Transfer Learning Algorithm
• #3. Fusing Medical Images Using Pyramid Decomposition by DLCNN Method
• #4. Thorough Analysis of Deep Learning Methods for Diagnosis of COVID-19 CT Images
• #5. Classification of Lung Images of COVID-19 Patients With the Application of Deep Learning Techniques
• #6. Comparative Analysis of 2D USG Technique and Landmark Technique for Right Internal Jugular Vein Cannulation
• #7. Research on Assessing Lidocaine, Ketamine, and Dexamethasone for Airway Complications
• #8. Comparing Ketamine-Dexmedetomidine vs. Low-Dose Ketamine-Dexmedetomidine-Propofol for Sedation in Short Surgeries
• #9. Comparing Nalbuphine Alone to Dexmedetomidine-Nalbuphine for Intraoperative Shivering Control Under Spinal Anesthesia
• #10. Comparative Analysis of Fentanyl and Dexmedetomidine as Adjuvants With Lignocaine in Intravenous Regional Anesthesia for Upper Limb Surgeries
• #11. Intravenous Regional Anaesthesia on Comparative Effects of Fentanyl and Magnesium Sulphate as Ropivacaine Adjuvants for Upper Limb Surgeries
• #12. A Randomized Double-Blind Clinical Trial of Dexmedetomidine vs. Ketamine Postoperative Epidural Analgesia in Lower Limb Orthopedic Surgeries
• #13. A Cross-Sectional Study on Clinical Evaluation of Surgical Interventions for Nasal Obstruction in Allergic Rhinitis
• #14. Incidence of Emergence Delirium in Pediatric Patients on Comparative Study of Ketamine IV Induction vs. Sevoflurane Inhalation Induction
• #15. Emerging Role of Artificial Intelligence and Robotics in Physiotherapy: Past, Present, and Future Perspective
• #16. A Prospective Cohort Research on the Clinical Impact of Oral Calcium Supplementation on Proximal Femur Mineralization in Fracture Cases
• #17. Functional Outcome Assessment of Unstable Intertrochanteric Femur Fractures on Trochanteric Fixation Nail vs. Proximal Femur Nail Antirotation-II
• #18. Deep Learning and Machine Learning Algorithms With Ocular Disease Intelligent Recognition
• #19. Detection of Eye Diseases in Numerous Features Using Principle Component Analysis With Stacked Ensemble Method
• #20. A Comprehensive Analysis of Findings on Clinical, Radiological, and Histopathological Correlations in Cholesteatoma
• #21. Utilization of Artificial Intelligence Algorithms for Advanced Cancer Detection in the Healthcare Domain
• #22. Prediction of Cancer Blood Disorder Using Adaptive Otsu Threshold and Deep Convolutional Neural Networks
• #23. Revolutionizing Early Diagnosis on a Multifaceted Approach to Chronic Kidney Disease Detection
• #24. Augmenting Chronic Kidney Disease Diagnosis With Support Vector Machines for Improved Classifier Accuracy
• #25. A Comprehensive Clinico-Epidemiological Study on Pruritic Dermatoses in the Elderly
• #26. A Review of Prediction on Alzheimer's Disease Using Machine Learning Techniques

P. Paramasivan has been working as Director of Dhaanish Ahmed College of Engineering, Chennai, India. And he is an accomplished professor with extensive experience and he has dedicated his career to mentoring and educating students with a passion for engineering and technology. Over approximately 15 years, he has individually guided and motivated around 15,000 students in their pursuit of knowledge and success. Recognized as a self-driven and highly motivated teacher. He possesses a unique skill set in designing effective teaching and learning processes. His strategic approach to education has yielded exceptional results, earning him a trusted reputation among prestigious institutions in Chennai since 2008. His commitment to bridging the gap between academia and industry is commendable. He has played a pivotal role in establishing an industrial platform connecting students with top-tier hardware and software companies. Through collaborations with renowned organizations such as ZOHO, Ashok Leyland, Pyroferus Technologies, and Godrej, he has provided students invaluable opportunities to engage in research projects aligned with their interests.

S. Suman Rajest is the Dean of Research and Development (R&D) and International Student Affairs (ISA) at Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. He is an Editor in Chief of the International Journal of Human Computing Studies and The International Journal of Social Sciences World, He is the Chief Executive Editor of the International Journal of Advanced Engineering Research and Science, International Journal of Advanced Engineering, Management and Science, The International Journal of Health and Medicines, The International Journal of Management Economy and Accounting Fields and The International Journal of Technology Information and Computer and also he is an Editorial Board Member in International Journal of Management in Education, Scopus, Inderscience, EAI Endorsed Transactions on e-Learning, and Bulletin of the Karaganda university Pedagogy series. He is also a Book Series Editor at IGI Global Publisher, Springer, etc. All of his writing, including his research, involves elements of creative nonfiction in the Human Computing learning system. He is also interested in creative writing and digital media, Learning, AI, student health learning, etc. He has published 400 papers in peer-reviewed international journals. He has authored and co-authored several scientific book publications in journals and conferences and is a frequent reviewer of international journals and conferences. He also reviews Inderscience, EAI Journals, IGI Global, Science Publications, etc.

Prof. Karthikeyan Chinnusamy , Sr Principal with more than 25 years of experience in IT, Product Dev, R&D and Education fields. Fellow IETE, Fellow IE, Sr Member IEEE,Sr Member ACM, Project management Institute (PMI), Reviewer, Editorial Board Member of R&D Journals. Board Member & Program Director SF DAMA. SME in Data Governance, GDPR, HIPAA Compliance, Data Management, Data Architecture, Master Data, Data Quality, AI/ML, Analytics and reporting in Payment processing, Customer, Finance, CRM and License domains. Mentor in SFDC Mig, Data.com, ERP, Architecture, R&D, Embedded systems, VLSI,Adv Information processing. I am also reviewer for IEEE Silicon Valley Sr Member Elevation and Speaker, Volunteer for SFBay ACM. Reviewer of Journals in Springer Nature.

R. Regin, PhD, is affiliated with the SRM Instıtute of Science and Technology.

Dr Ferdin Joe John Joseph is currently an Assistant Professor with the faculty of information technology, Thai Nichi Institute of technology Bangkok. He graduated his bachelor and masters degrees in computer science and engineering from Anna University Chennai during 2009 and 2011 respectively. He got his PhD in Computer Science and Information Systems from the National Institute of Development Administration Bangkok during 2015. His area of research includes deep learning, IoT and Blockchain technology. He has nearly a decade experience in teaching. He has published in peer reviewed international conferences and journals. He is certified as the "Most Valuable Professional" (MVP) with Alibaba Cloud since 2021. He is teaching as per academic curriculum to students, recognizing, nurturing the creative potential of each student. Teach students using a systematic instructional methodology comprising lecture plans (following the credit allotted to each subject), discussion groups, seminars, case studies, field assignments, and independent and/or group projects. Recently, he has been the technique program committee, the technique reviews, and the track chair for international conferences published by Springer Series. He is serving in the editor in chief, the editorial board of international journals, and he authored/edited different books and filed so many Patents. Finally, he is a member of ISTE, IET, Etc…