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MAIVE: Multimodal Medical AI for Clinical Reasoning

MAIVE is a next‑generation medical AI platform built from the ground up to deliver scalable multimodal intelligence, long‑context reasoning, and seamless interoperability with real‑world clinical systems. Designed for developers, researchers, and healthcare innovators, MAIVE brings together high‑performance machine learning with a privacy‑preserving architecture that runs efficiently on consumer‑grade hardware.

Built for Scale, Speed & Clinical Reality​

256K‑Token Context Window​

MAIVE processes entire patient histories, longitudinal records, imaging reports, and multi‑document workflows in a single pass — enabling richer reasoning, fewer hallucinations, and more clinically grounded outputs.

Multimodal Intelligence​

MAIVE natively understands text, images, and video, unlocking advanced capabilities such as:

  • Radiology and pathology interpretation
  • Dermatology and ophthalmology classification
  • Medical VQA
  • Agentic clinical workflows
  • Automated report generation

This multimodal foundation enables MAIVE to operate across the full spectrum of clinical data.

Optimized for Local Deployment​

MAIVE reduces memory requirements without sacrificing quality, allowing powerful models to run on:

  • Workstations
  • Laptops
  • Consumer GPUs

This empowers organizations to deploy AI securely, privately, and cost‑effectively — without relying on cloud‑only infrastructure.

Rigorous Evaluation Across Medical Domains​

MAIVE has been benchmarked extensively across diverse clinical tasks:

  • Chest X‑rays: Evaluated on MIMIC‑CXR, CheXpert, and ChestX‑ray14 for key thoracic findings.
  • Dermatology: 2,000+ de‑identified patient cases across ~130 conditions, framed as diagnostic MCQs.
  • Histopathology: 450 expert‑annotated biopsy patches across breast, lung, prostate, lymph node, and cervical tissue.
  • Ophthalmology: 3,000+ patient images for diabetic retinopathy severity grading.
  • Medical VQA: Benchmarked on SLAKE and VQA‑RAD.
  • Report Generation: Radiology reports evaluated with RadGraph F1 and expert cardiothoracic review.
  • Agentic Behavior: Tested in AgentClinic for simulated physician‑agent tasks.
  • General Reasoning: Assessed on MMLU Pro, Global MMLU Lite, and MMMU.

This breadth ensures MAIVE performs not only as a specialized medical model but also as a capable general‑purpose reasoning system.

Interoperability at the Core​

MAIVE is engineered for seamless integration with modern healthcare ecosystems, including:

  • FHIR
  • openEHR
  • Structured and unstructured clinical data sources

This enables conversational agents, decision‑support tools, and workflow automation systems to interact directly with clinical records in a safe, structured, and standards‑aligned manner.

Privacy‑Preserving by Design​

MAIVE’s architecture supports secure, local inference — ensuring sensitive medical data stays within the organization’s environment. This design empowers hospitals, research institutions, and developers to build responsible AI applications without compromising patient privacy.

A New Foundation for Medical AI​

MAIVE combines long‑context reasoning, multimodal understanding, and efficient deployment into a single platform that scales from research labs to enterprise healthcare systems. It is built for teams who want to push the boundaries of clinical intelligence while maintaining trust, transparency, and performance.