"Explainable Deep Learning for COVID-19 and Chest Disease Detection: A Dual-Model Approach Using DenseNet121 and UNet".- Explainable Artificial Intelligence in Smart Healthcare.- Classification of Anti-Nuclear Antibody Pattern using Deep Learning.- Extensive investigation on Smart Healthcare and Alzheimer's disease prediction using Multimodal data.- AI-Powered Smart Healthcare: Transformative Frameworks and Next-Generation Algorithms.- Strategic Development of Smart Prosthetic Lower Limb with Trainable Model for Balanced Movement.- Data-Driven Intelligence in Electronic Health Records (EHRs).- Advancement in Psychiatric Disorder Detection: Roadmap in Brain-Computer Interfacing using Graph Neural Network.

- Exploring the Potential of Augmented and Virtual Reality for Patient Care and Medical Innovation.- Transforming Healthcare with Electronic Health Records: AI Integration, Evolution, and Future.- AI enabled Intrusion Detection Systems for IoT Healthcare: Current Trends, Challenges, and Future Opportunities.- Multimodal Biometric Emotion Recognition for Mental Health Monitoring Using AI-DL Techniques.- Federated Learning in Privacy Preservation and Security Enhancement for eHealthcare Systems.- Proposed Privacy-Preserving Framework on Medical Handwritten Prescription using Blockchain.- Study on Secure and Resilient Architectures for 5G Healthcare ecosystem.- Chikitsak: Medical Chatbot Using BioBert and GPT-2 Model.

- Clinical Decision Support System using GenAI.- An AI-based Secure and Robust customized patient health care system using blockchain technology.- Empowering patients through AI technologies: contextualize and personalize patient care.- IoT-Enabled Real-Time Monitoring of IVF Embryo Culture Conditions: Integration of Machine Learning Techniques.