ILUMINATE 2025 - "A National Conference on AI in Healthcare"; Kursk State Medical University Students Showcase Innovative AI Medical Research at an International Conference in Chennai, India

Chennai, India | Kursk, Russia | December 18–19, 2025

Kursk State Medical University (KSMU) made a strong international academic impact at ILLUMINATE 2025, an international hybrid conference conducted bringing together researchers, clinicians, and students to explore the rapidly evolving role of artificial intelligence in medicine .

During the conference, Kursk State Medical University's medical students delivered 24 live research paper presentations.

Their work reflected the expanding role of AI across multiple medical specialties and highlighted Kursk State Medical University's commitment to innovation, research excellence, and global academic collaboration .

The student presentations explored a wide spectrum of cutting-edge AI applications in medicine, ranging from diagnostics and predictive analytics to ethics, privacy, and future-ready healthcare systems.

Key thematic areas included:
Diagnostic Precision
Predictive and Preventive Analytics
Operational, Ethical, and Privacy Challenges
Advanced and Emerging AI Concepts in Medicine

The majority of the student-led research projects were conducted under the academic mentorship of Dr. Rajkumar Densingh Samuel Raj, who also participated in ILLUMINATE 2025 as a Guest Speaker .

As part of the scientific program, Dr. Rajkumar Densingh Samuel Raj delivered a guest lecture titled:
“Ethical Challenges in Implementing AI in Modern Healthcare.”

Through his dual role as mentor and speaker, he guided students in developing clinically relevant, ethically sound, and technologically advanced research, while also contributing to critical discussions on responsible AI adoption in medical education and clinical practice.

KSMU Student Participants and Research Topics
The following KSMU students presented live research paper presentation at ILLUMINATE 2025:

- Christopher Georgio van Wyk
"Using AI to Analyze Coronary CT Angiography to Identify Vulnerable High-Risk Plaque Features Influencing CABG vs. PCI Decisions"

- Muhammad Iqbal Bin Rafid
"AI Tools in Predicting Dengue Outbreaks in Malaysia"

- Divyah Vengkadesvararamana
"Artificial Intelligence for Predicting Arteriovenous Fistula Maturation in Hemodialysis Patients"

- Aminath Jila Saeed
"AI-Powered Early Warning Systems for Clinical Deterioration and Their Impact on Patient Outcomes"

- Fathimath Maaheen Mohamed
"Artificial Intelligence for Prenatal Diagnosis of Congenital Anomalies"

- Divyasini Anbalagan
" Intelligent Partnership: How Large Language Models Are Redefining Clinical Care"

- Eugene Chow Ho Meng
"Grey-Box Testing Framework to Overcome the Black-Box Paradox in AI-Assisted Radiological Diagnosis"

- Kanumuri Varshitha Varma
"Wearable Integrated AI for Autonomous Trauma Triage and Mass Casualty Management"

- Pretaa Kantha Rau
"Patient Digital Twins: The Future of Personalized Medicine"

- Wickramapala Welabada Kankanamalaya Jeewakie Jagathdinie Wickramapala
"Development of an AI-Driven Personalization of Drug Structure, Dose, and Release Dynamics Based on Multidimensional Biomarkers"

- Aleeya Yasmin Binti Akmal Hisham
"Bias in Healthcare AI: Are Diagnostic Tools Equally Accurate Across Genders and Ethnicities?"

- Bhagwat Janhvi Avinash
"AI-Driven Drug Discovery: Accelerating the Identification of Novel Therapeutic Targets and Compounds"

- Rajasekaran Prathistaa & Thisara Deduni Weerawardhana
"Balancing Innovation and Safety: Evaluating the Risks of AI in Medicine and Society’s Trust in AI-Based Care"

- Asshwin Palaniappan Ramanathan
"AI-Powered Ambient Clinical Note Summarization to Reduce Documentation Burden in Healthcare"

- Sakshi Gupta
"Federated Foundation Models for Occlusive Myocardial Infarction Detection Using AI-ECG Beyond STEMI"

- Rugiyya Mifza
"AI for Stroke Prediction, Management, and Rehabilitation"

- Prachi Rani Gupta
"AI-Generated Clinical Trials and Adaptive Trial Design" 

-Sana Sanjeev Thakur
"AI in Diabetic Retinography: Emerging Roles in Diagnosis and Screening"

-Mohamed Fazeer Shenufa Mariam
"The Role of AI in Early Detection and Management of Diabetic Retinopathy"

-Shreya Tiwari
"AI Virtual Health Assistants for Chronic Disease Management"

-Ishika Aggarwal
"Artificial Intelligence in Elderly Healthcare"

- Gauravi Omchand Maurya
"AI-Driven Neuro-Monitoring: Advances in Schizophrenia Detection and Management"

- Jayesh Devika
"Federated and Privacy-Preserving Medical AI Across Multi-Hospital Systems"

- Imasha Sewmini
"AI-Powered Integration of Multimodal Data in Neuro-Oncology"

- Mannat Sehgal
"AI-Based Risk Prediction Models for Heart Failure and Myocardial Infarction in Real-World Practice"

Shaping the Future of Medicine
From trauma triage and cardiovascular risk prediction to neuro-oncology and ethical AI frameworks, ILLUMINATE 2025 demonstrated how medical students are not only adapting to technological change, but actively driving the future of healthcare through research and innovation .

ILLUMINATE 2025 stands as a strong example of the global pursuit of smarter, more efficient, and more equitable healthcare, powered by artificial intelligence and strengthened through international academic collaboration.

Kursk State Medical University continues to empower its students to lead at the intersection of medicine, technology, and global innovation.

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