AI-powered Clinical Decision Support System (CDSS) for chest X-ray analysis, detecting pneumonia (89.9% accuracy) using CNN on Kaggle's Chest X-ray Dataset. Full-stack app with Next.js, Django, TensorFlow. Features drag-and-drop uploads, vitals input, and diagnostic reports.

Repository for the journal article, 'FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices', Mahbub Ul Alam, Rahim Rahmani. Sensors 23, no. 2: 970, https://doi.org/10.3390/s23020970.

A clinical decision support system designed for ophthalmologists.

AI-powered clinical decision support system for Alzheimer's disease detection using Deep Learning, Explainable AI (Grad-CAM), and RAG-enhanced LLM. Full-stack application with React frontend and FastAPI backend.

NeuroSight is a comprehensive Neurology Clinic Management System designed to streamline scheduling, billing, and patient care workflows. It integrates an advanced DICOM viewer with Multi-Planar Reconstruction (MPR) and an AI-powered Clinical Decision Support System for neurological anomaly detection.

Bridging the gap between theory and bedside practice through open-access, physiologically-weighted, evidence based, decision support tools for anesthesia and intensive care.

PlaqueGuard - A web Carotid Plaque Vulnerability Assessment Tool (CDSS)

Repository for the journal article 'SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction'

Predicting patient outcomes is a crucial task in healthcare that can have a significant impact on improving patient care.

A rules-first AI medical triage and lab-result interpretation web application

Trained NeuroTab on clinical data of migraineurs and headache patients, then integrated the model into a web-based clinical decision support system, providing prediction with XAI insight with confidence scores.

Multi-agent AI healthcare system with ML disease models, LLM conversation, and SOAP notes. FastAPI + React + PostgreSQL.

Repository for the journal article, 'Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application', Mahbub Ul Alam, Rahim Rahmani. Sensors 21, no. 15: 5025, https://doi.org/10.3390/s21155025.

A Retrieval-Augmented Generation (RAG) system providing guideline answers, powered by local LLM via Ollama and exposed as a FastAPI.

🏥 Clinical Decision Support System for Pulmonary Embolism - An agent-based AI system using LLMs and RAG to assist healthcare professionals with evidence-based PE diagnosis and treatment recommendations.

A Neuro-Symbolic Expert System for Medical Diagnosis from Natural Language with Rule-Based Logic Engines

Real-time Clinical Decision Support System (CDSS) for detecting Adverse Drug Events (ADEs) using XGBoost, Streamlit, and Generative AI. Designed to automate pharmacovigilance workflows.

MCP-powered healthcare AI agent that tracks unfulfilled clinical commitments from physician notes. Extracts promises, verifies against FHIR R4 records, and generates actionable Tasks. Built for Agents Assemble Hackathon 2026.

Agentic Diagnostic Decision Support system for chest X-ray analysis — multi-agent pipeline with vision AI, PubMed RAG, and Gemini-powered clinical reasoning. Research/education only.