Students from Kursk State Medical University (KSMU), Russia, participated in the AICTE-Sponsored International Conference on Artificial Intelligence-Driven Innovations in Computer, Electrical, Mechanical, and Electronics Engineering (ICAI-CEME 2026), held on 21–22 October 2026 at SIMATS Engineering, Chennai, India, in hybrid mode.

The international conference brought together interdisciplinary perspectives from medicine, engineering, computer science, and emerging technologies, providing a platform to explore how artificial intelligence can advance healthcare, biomedical research, clinical decision-making, and technological innovation.

Conference Organising Leadership

The conference was organised under the leadership of Dr. N. Bharatha Devi, Conference Chair, ICAI-CEME 2026, and Dr. B. Ramesh, Principal, SIMATS Engineering. Their efforts in facilitating this international academic platform provided an opportunity for students, researchers, academicians, and professionals from diverse disciplines to exchange knowledge and present innovative research at the intersection of artificial intelligence, engineering, and healthcare.

Session Hosts

The conference sessions were hosted by Dr. G. Aloy Anuja Mary, Professor, and Dr. G. Vinuja, Assistant Professor, who contributed to facilitating the academic proceedings and supporting the exchange of research ideas and interdisciplinary discussions throughout the conference.

Keynote Address on Interdisciplinary Mentorship and AI-Driven Healthcare

A highlight of the conference was the keynote address delivered by Assoc. Prof. Dr. Rajkumar Densingh Samuel Raj, Department of Traumatology and Orthopedics, Kursk State Medical University.

His keynote, titled “From Supervision to Synthesis: Building an Interdisciplinary Mentorship Model for AI-Driven Healthcare Innovation,” explored the importance of academic mentorship in fostering interdisciplinary collaboration and supporting innovative research at the intersection of artificial intelligence, medicine, and engineering.

Dr. Rajkumar also served as a Session Chair at the conference, contributing to academic discussions and the exchange of scientific ideas.

KSMU Students Receive Best Paper Awards

In recognition of their research contributions, five KSMU students received Best Paper Awards at ICAI-CEME 2026 for their work exploring AI-driven innovations across clinical medicine, biomedical research, and surgical technology.

The award recipients and their research topics were:

• Divyasini Anbalagan – Artificial Intelligence in Predicting Osteogenic Differentiation of Mesenchymal Stromal Cells: Applications in Bone Regeneration

• Ekanayake Poorna Charsha – Artificial Intelligence for Predicting Atrial Fibrillation Recurrence After Catheter Ablation: A Systematic Review and Hypothesis on Clinical Features

• Sakshi Gupta – Artificial Intelligence for Early Detection and Severity Grading of Diabetic Retinopathy: Applications in Ophthalmic Screening and Vision Loss

• Bhagwat Janhvi Avinash – Multimodal Generative AI and LLM-Based Clinical Decision Support for Early Skin Cancer Detection: Integrating Dermoscopic Images with Clinical Free Text

• Pretaa Kantha Rau – Role of Autonomous Robotics in Minimally Invasive Surgery

These awards highlight the students' engagement with emerging research questions and the potential of interdisciplinary approaches to address challenges in modern healthcare.

Student Research Contributions Across Disciplines

Beyond the award-winning papers, KSMU students presented research spanning several important areas of AI-driven innovation.

AI in Clinical Prediction and Healthcare Informatics

• Wijaya Arachchige Ihansa Minduni Karunarathne – Artificial intelligence for early sepsis prediction.

• Mannat Sehgal – AI-based remote monitoring for early detection of heart failure decompensation.

• Thakur Sana Sanjeev – Edge AI for continuous ECG monitoring and arrhythmia detection.

AI in Biomedical Research and Precision Medicine

• Kanchana Devi Sridhar Anjana Devi, Medical Institute, National Research Ogarev Mordovia State University, Saransk, Russia – AI and machine learning for predicting deep vein thrombosis risk in orthopedic surgery patients.

AI, Computer Science and Sustainable Technologies

• Wickramapala Welabada Kankanamalaya Jeewakie Jagathdinie Wickramapala – AI-driven speech neuroprostheses for communication restoration in locked-in syndrome.

• Mukesh Sharma Mayakrishnan Meenakshi – GreenRx: Federated Low-Carbon AI for antimicrobial resistance prediction.

• Kanumuri Varshitha Varma – An AI-driven IoT framework for predicting open tibia fracture load and optimizing external fixator inventory in coastal smart hospitals during flood disasters.

Advancing Research Through Academic Mentorship

The participation of KSMU students at ICAI-CEME 2026 reflects the growing importance of interdisciplinary research in medical education and scientific development. By engaging with engineering and technology-focused research, the students explored innovative approaches to clinical prediction, regenerative medicine, precision diagnostics, surgical robotics, and sustainable healthcare systems.

The keynote address, student presentations, and Best Paper Awards collectively mark an important milestone in KSMU students' engagement with international scientific collaboration and AI-driven healthcare innovation.

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