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Medrotic Research
Advancing Trustworthy AI for Healthcare
Medical imaging · Vision-language models · Reproducible machine learning
About Medrotic Research
Medrotic Research is the research-focused initiative connected with Medrotic — AI Healthcare. We explore machine learning, medical computer vision, and multimodal AI, with an emphasis on transparent evaluation, reproducibility, and responsible use.
Our work is experimental. It should not be interpreted as clinically approved diagnostic technology.
Medrotic — AI Healthcare Platform
Visit the live Medrotic project
Medrotic is our collaborative AI-powered healthcare software project. This Hugging Face organization provides a home for related research, documented experiments, and possible future model or dataset releases.
The live healthcare platform and the research experiments are distinct. A model described here is not necessarily integrated into the deployed platform.
Featured Research: Medrotic-TB
Research area: Tuberculosis-suggestive patterns in chest radiographs
Status: Experimental research in progress
Our investigations include:
| Research track | Approach |
|---|---|
| Medical vision-language models | MedGemma and parameter-efficient adaptation |
| Medical image representations | MedSigLIP embeddings and linear-probe evaluation |
| Comparison methods | Conventional medical-image classification baselines |
| Research quality | Dataset provenance, controlled splits, audit trails, error analysis, and validation |
Development-set results do not establish clinical performance or generalizability.
Research Interests
- Medical imaging and computer vision
- Multimodal AI and vision-language models
- Efficient fine-tuning and model adaptation
- Robustness, explainability, and trustworthy AI
- Reproducible experimentation and benchmark evaluation
Team Medrotic
Medrotic was developed collaboratively by three team members:
| Team member | Involvement |
|---|---|
| Muhammad Ibtisam Afzal | AI/ML research, frontend and backend development, and AI integration; GitHub |
| Muhammad Adnan Tariq | Medrotic project team member |
| Muhammad Khaqan Nasir | Medrotic project team member |
Individual responsibilities for Adnan and Khaqan can be expanded when confirmed; no specific research contributions are implied by this list.
Academic FYP supervisor: Dr. Muhammad Farhan, Department of Computer Science, COMSATS University Islamabad, Sahiwal Campus.
Our Research Principles
- Evidence first: Report results, experimental limitations, and uncertainty accurately.
- Reproducibility: Keep track of data provenance, model versions, configurations, and evaluation procedures.
- Responsible development: Do not equate research prototypes with clinical systems.
- Open collaboration: Share code, methods, and artifacts where permissions and quality standards allow.
Explore & Connect
- Live project: medrotic.vercel.app
- Research updates: Follow the Medrotic Research organization here on Hugging Face.
Medical disclaimer: All experimental AI models discussed here are for research purposes only, not for clinical diagnosis, treatment, or medical decision-making.