Hi there ! I'm Mohamad AlJasem , a physician, AI developer, and clinical researcher dedicated to creating technologies that transform healthcare.
My work sits at the crossroads of deep learning, digital health, and clinical insight — where algorithms meet empathy.
- 🎓 MD + MPH + MSc from TUMS.
- 🧠 Focus: AI in Cardiology, Epilepsy, & Ophthalmology
- 🔬 Researching AI for corneal topography, CVD risk modeling, and Non-Communicable Diseases Prediction
“I don’t just code models — I build end-to-end systems that translate the science into real-world soultuoins”
| 🔬 Project | 🧭 Description | 🚀 Tech Stack |
|---|---|---|
| 🫀 CVD-AI | Deep neural network for cardiovascular risk prediction | PyTorch, Scikit-learn, MONAI |
| 👁 CorneaNet | AI system for corneal topography scan interpretation | TensorFlow, OpenCV, Streamlit |
| ⚡ EpiAI | Predictive analytics for seizure forecasting | Python, FastAPI, LSTM |
| 💊 SmartEHR | Intelligent hospital workflow optimization system | Flask, PostgreSQL, FHIR |
- Cardiovascular AI models for precision risk prediction
- AI in ophthalmology — image-based diagnostics
- Seizure prediction and digital biomarkers in epilepsy
- EHR mining, hospital automation, and data-driven clinical decisions
🧬 My long-term vision: to build trustworthy AI systems that augment the intuition of clinicians — not replace it.
“Medicine is data.
AI is understanding.
Together, they form the future of care.”
I believe in a healthcare future where AI is not a tool, but a colleague — one that listens, learns, and helps save lives.
- 🏅 Research in cardiology AI & digital transformation of healthcare
- 🧩 Building open-source AI pipelines for medical research
- 💡 Speaker: Digital Transformation in Hospitals
- 🌐 Global collaborations in clinical informatics
| Category | Tools |
|---|---|
| 🤖 AI / ML | PyTorch, TensorFlow, Keras, scikit-learn |
| 🧠 Data Science | Pandas, NumPy, Matplotlib, DICOM, SQL |
| 🧬 Clinical Data | FHIR, HL7, EHR, MONAI, Pydicom |
| 💻 Dev / Infra | Python, FastAPI, Docker, GitHub Actions, Linux |
“AI should not aim to replace the physician’s judgment —
it should help reveal patterns that no human could see.”
When I’m not coding or reading clinical data,
you’ll find me designing hospital systems, exploring medical imaging datasets —
or imagining what the AI-powered hospital of 2030 will look like.