RMU AI - RAWALPINDI MEDICAL UNIVERSITY

Welcome to the Future of Medical AI

The AI Department at Rawalpindi Medical University stands at the forefront of medical innovation, combining cutting-edge artificial intelligence with healthcare excellence. Our mission is to revolutionize medical education, research, and patient care through advanced AI technologies.

Our Vision

To be the leading center for AI-driven medical research and education in Pakistan, fostering innovation that improves healthcare outcomes and transforms medical practice.

Our Mission

Advance AI research in medical diagnostics and treatment
Train the next generation of AI-enabled healthcare professionals
Develop innovative AI solutions for healthcare challenges

Key Achievements

15+

AI Patents

200+

Publications

30+

Industry Partners

AI Labs

Research Areas

Medical Imaging AI

Advanced diagnostic imaging analysis

Clinical Decision Support

AI-powered treatment recommendations

Drug Discovery

AI-accelerated pharmaceutical research

Our Distinguished Faculty

Meet our world-class team of researchers and educators leading AI innovation in healthcare.

Dr. Hassan Ahmed

Department Head & AI Research Director

Specialization: Machine Learning in Medical Diagnostics

Experience: 15+ years

Publications: 85+ peer-reviewed papers

AI-Powered Radiology Analysis

Developing deep learning models for automated detection of lung cancer in CT scans.

Predictive Healthcare Analytics

Creating AI systems to predict patient outcomes and optimize treatment plans.

Dr. Sarah Fatima

AI Ethics & Healthcare Policy

Specialization: AI Ethics in Healthcare

Experience: 12+ years

Publications: 60+ peer-reviewed papers

Ethical AI Framework

Developing guidelines for responsible AI implementation in healthcare settings.

Bias Detection in Medical AI

Research on identifying and mitigating algorithmic bias in healthcare AI systems.

Dr. Muhammad Khan

Computational Biology & Genomics

Specialization: AI in Genomics & Personalized Medicine

Experience: 10+ years

Publications: 45+ peer-reviewed papers

Genomic Data Analysis

AI algorithms for analyzing large-scale genomic datasets for disease prediction.

Personalized Treatment Plans

Developing AI models for personalized medicine based on genetic profiles.

Research Laboratories

AI Imaging Lab

State-of-the-art facility for medical image analysis and computer vision research.

• High-performance GPU clusters
• Advanced imaging workstations
• Collaborative research environment

Clinical AI Lab

Dedicated space for developing and testing AI solutions in clinical settings.

• Real-time data processing systems
• Clinical simulation environments
• Secure patient data handling

AI Healthcare Initiatives

Transforming healthcare through innovative AI solutions and cutting-edge research projects.

Smart Diagnosis System

An AI-powered diagnostic platform that assists physicians in making accurate diagnoses by analyzing patient symptoms, medical history, and diagnostic test results.

95% diagnostic accuracy achieved

Integrated with 5 major hospitals

10,000+ patients diagnosed

Predictive Analytics Platform

Advanced machine learning algorithms that predict patient outcomes, identify high-risk patients, and optimize treatment protocols for better healthcare delivery.

Early warning system for critical patients

Resource optimization algorithms

Real-time monitoring dashboard

Current Research Initiatives

🧠 Neural Networks

Deep learning models for complex medical pattern recognition and diagnosis.

🔬 Drug Discovery

AI-accelerated pharmaceutical research and molecular analysis.

📊 Health Analytics

Population health insights and epidemiological modeling.

Collaboration Partners

WHO

World Health Organization

NIH

National Institutes of Health

MIT

Massachusetts Institute of Technology

IBM

IBM Watson Health

Latest News & Events

Stay updated with the latest developments, achievements, and upcoming events in our AI department.

BREAKING

RMU AI Department receives $2M grant for cancer detection research • New partnership with Mayo Clinic announced • AI Ethics symposium scheduled for next month

Research March 15, 2024

Breakthrough in AI-Powered Cancer Detection

Our research team has developed a revolutionary AI system that can detect early-stage cancer with 98% accuracy, potentially saving thousands of lives through early intervention.

Partnership March 10, 2024

Strategic Partnership with Global Health Leaders

RMU AI Department announces new collaborations with leading international healthcare institutions to advance AI research and global health initiatives.

Upcoming Events

MAR

AI in Healthcare Symposium 2024

Join leading experts discussing the future of AI in medical practice and research.

9:00 AM - 5:00 PM | RMU Main Auditorium

APR

Student Research Showcase

Undergraduate and graduate students present their AI research projects and innovations.

2:00 PM - 6:00 PM | AI Research Labs

APR

International AI Ethics Workshop

Collaborative workshop on ethical considerations in AI healthcare applications.

10:00 AM - 4:00 PM | Virtual & In-Person

Recent Publications

Machine Learning Approaches for Early Disease Detection

Dr. Hassan Ahmed, et al. • Nature Medicine • March 2024

Ethical Frameworks for AI in Clinical Decision Making

Dr. Sarah Fatima, et al. • Journal of Medical Ethics • February 2024

Genomic Data Analysis Using Deep Learning

Dr. Muhammad Khan, et al. • Bioinformatics • January 2024

Contact & Collaboration

Connect with us to explore research opportunities, partnerships, and academic collaborations.

Get in Touch

Address

AI Department, Rawalpindi Medical University
Tipu Road, Rawalpindi, Punjab, Pakistan

Phone

+92-51-9290801-5
Ext: 2150 (AI Department)

Email

ai.department@rmu.edu.pk
research.ai@rmu.edu.pk

Website

www.rmur.edu.pk/ai-department
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Office Hours

Monday - Thursday 8:00 AM - 5:00 PM

Friday 8:00 AM - 12:00 PM

Saturday 9:00 AM - 2:00 PM

Sunday Closed

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Collaboration Opportunities

Joint research projects and publications

Student and faculty exchange programs

Industry partnerships and technology transfer

Grant applications and funding opportunities

Undergraduate

Postgraduate

Diploma and Certificates