Multimodal Medical AI Platform

Multimodal AI for Precision Medicine

OmniMedAI connects imaging, pathology, clinical data, radiomics, habitat modeling, multimodal fusion, machine learning, and clinical evaluation into a modular research-grade platform.

Explore Workflow View GitHub

9 Platform modules

4+ Medical data types

AI Modeling workflow

QC Validation focused

Synthetic axial chest CT with a teal outline marking an example region of interest — **OmniMedAI Research Workspace** Illustrative Preview

Synthetic H&E tissue micrograph — **OmniMedAI Research Workspace** Illustrative Preview

Age band	60–69
Visit	Baseline

Visual Workflow

From raw medical data to validated AI insight.

Explore how OmniMedAI organizes multimodal medical data, feature engineering, model development, validation, and clinical translation into a connected research workflow.

End-to-End Flow

OmniMedAI Platform Workflow

Follow multimodal research data through preprocessing, annotation, feature extraction, modeling, evaluation, and reporting.

Image and pathology annotation Optional super-resolution reconstruction

Platform workflow visualization for the OmniMedAI end-to-end medical AI pipeline.

Module Map

OmniMedAI Modular Workflow Map

See the inputs and outputs of modules for image preparation, multimodal feature extraction, fusion, modeling, and evaluation.

Imaging, pathology, and omics analysis Example notebooks and guided workflows

Module workflow visualization for the OmniMedAI architecture.

Clinical AI

AI-Assisted Diagnosis Review

A clinical decision-support scenario where multimodal evidence, imaging review, pathology context, and risk modeling are presented together for expert interpretation.

Clinical review with AI-generated evidence panels Designed for expert-in-the-loop diagnostic and prognostic workflows

OmniMedAI AI-assisted clinical diagnosis scene

AI-assisted clinical diagnosis visualization for OmniMedAI.

Multimodal Analysis

Precision Medicine Research Workstation

A research workstation view for combining radiology, pathology, clinical tables, genomic markers, model outputs, and interpretability results in a single analysis environment.

Radiology, pathology, clinical, and genomic context Built for reproducible biomarker discovery and cohort studies

OmniMedAI multimodal AI research workstation

Multimodal research workstation visualization for OmniMedAI.

Validation

Validation & Clinical Translation

A research workflow for defining cohorts, testing models internally and on independent cohorts, assessing clinical utility, and preparing evidence for potential translation.

Internal and independent external validation Clinical utility assessment and translation planning View full validation diagram

Validation and clinical translation workflow visualization for OmniMedAI.

Platform Modules

A modular SDK for translational medical AI.

Each module can be used independently or chained into a full multimodal modeling workflow for clinical research and AI validation.

Data Processing

Convert DICOM/NIfTI, normalize images, resample volumes, and prepare ROI data for feature extraction.

Radiomics

Extract reproducible first-order, texture, and shape features from image-mask pairs with PyRadiomics.

Segmentation

Route cases through 2D or 3D ROI segmentation workflows and post-process mask outputs.

Pathology AI

Extract classical image features and deep pathology representations for WSI-driven research.

Habitat Analysis

Compute local radiomics, cluster tumor subregions, and characterize intratumoral heterogeneity.

Modeling and Evaluation

Fuse multimodal features, train baseline models, and summarize predictive performance.

onem_process preprocess

onem_radiomics features

onem_segment ROI

onem_path pathology

onem_habitat heterogeneity

onem_torch deep AI

onem_fusion fusion

onem_modeling modeling

onem_eval validation

Research Pipeline

Designed for reproducible clinical AI studies.

OmniMedAI organizes medical AI development into auditable stages: preprocessing, feature engineering, modeling, validation, and translation.

Prepare Cohorts

Standardize images, masks, pathology slides, clinical tables, and patient identifiers.

Extract Features

Generate radiomics, pathomics, habitat, and deep features with documented settings.

Build Models

Fuse modalities, train baseline models, and preserve modeling-ready feature tables.

Validate Evidence

Report AUC, F1, calibration, external validation, interpretation, and clinical utility.

Applications

Built around real medical AI research needs.

The platform is intended for translational research, biomarker discovery, clinical prediction modeling, and multi-center validation.

Oncology Imaging

MRI/CT radiomics for molecular status prediction, lymph node risk, and treatment response studies.

Digital Pathology

Feature extraction and deep representations for histology-driven model development.

Habitat Biomarkers

Intratumoral heterogeneity mapping through local features and clustering-based subregions.

Clinical Translation

Evaluation workflows for external validation, reporting, and privacy-preserving collaboration.

Roadmap

From modular toolkit to clinical AI operating layer.

Current work focuses on stabilizing the SDK foundation while extending modeling, evaluation, and collaboration capabilities.

Near Term

Unified dependency management and reproducible demos.
Stable CLI entry points for common radiomics and modeling workflows.
Cross-validation, feature selection, calibration, and confidence intervals.
Improved documentation for pretrained segmentation weights.

Platform Extensions

Clinical table processing and genomic feature ingestion.
Survival modeling, MIL fusion, and attention-based multimodal fusion.
Experiment tracking, model versioning, and report generation.
Federated learning and privacy-preserving multi-center validation.

Contact

Build validated medical AI workflows with OmniMedAI.

For professional or collaboration inquiries, contact the OmniMedAI team. The GitHub repository and email channel are kept unchanged for continuity.

Contact Email GitHub