Artificial Intelligence (AI) is transforming healthcare by enabling advanced data-driven solutions for diagnosis, monitoring, and treatment. My research focuses on developing AI methodologies that integrate machine learning, deep learning, and sensor-based technologies to address challenges in healthcare and biomedical systems
Medical Imaging and Diagnostics
AI models for disease detection and prognosis using X-ray, MRI, CT, and ultrasound data.
Deep learning–based image classification and segmentation for early diagnosis.
Wearable and Sensor Technologies
Development of nanomaterial-based flexible sensors for real-time physiological monitoring.
Integration of AI with IoT devices for personalized healthcare.
AI in Integrative and Traditional Medicine
Bridging ancient diagnostic methods such as Nadi Pariksha with modern AI-driven healthcare approaches.
Designing hybrid systems for holistic health assessment.
The integration of AI with healthcare promises to:
Improve diagnostic accuracy and reduce errors.
Enable personalized and precision medicine.
Enhance accessibility to quality healthcare in underserved regions.
Lower costs while improving patient outcomes.
My long-term vision is to develop intelligent and ethical AI systems that can be trusted by clinicians and patients, ultimately shaping the future of global healthcare.