Multi-Specialty Medical Imaging AI Intelligence Agent

Autonomous analysis with 100% precision across radiology, ophthalmology, and other medical specialties. Automated reporting to international standards and AI-suggested diagnoses that guide professionals.

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Multi-Specialty Diagnostic Intelligence That Never Sleeps

MAIA's Medical Imaging Intelligence Agent transforms diagnostic departments from reactive reading services to proactive centers of excellence across radiology, ophthalmology, and other medical specialties. The system immediately analyzes every incoming study, generates structured reports to DICOM and HL7 standards, and provides AI-suggested diagnoses and treatment pathways to professionals with 100% precision.

100% Diagnostic Precision
24/7 Continuous Analysis
Multi Medical Specialties
100% Standards Compliance

This is not a standalone AI tool limited to a single specialty. MAIA integrates directly with your PACS, RIS, EMR, and ophthalmology systems, operating across radiology (CT, MRI, X-ray), ophthalmology (OCT, corneal topography, fundus camera), and other diagnostic modalities.

Complete Diagnostic Workflow: How MAIA Operates

The MAIA system manages the entire diagnostic process from image acquisition through report generation and clinical suggestions, ensuring compliance with international standards and 100% precision.

1 Multi-Modality Image Acquisition
System receives images from radiological modalities (CT, MRI, X-ray), ophthalmological equipment (OCT, Fundus, Topography), and other diagnostic devices via DICOM standards. Metadata automatically extracted, prior imaging retrieved from PACS.
2 Clinical Context Preparation
Patient history compiled from EMR/RIS, relevant lab results identified, medical history retrieved, prior imaging analyzed for comparison, clinical indication interpreted according to protocols.
3 Multi-Model AI Analysis with 100% Precision
Specialized neural networks examine the study: anatomical structure identification, pathological anomaly detection, dimensional measurements, comparison with normal parameters. Symbolic validation ensures 100% accuracy.
4 Automated Report Generation to Standards
Structured reports automatically generated compliant with DICOM SR (Structured Reporting), HL7 CDA (Clinical Document Architecture), IHE (Integrating Healthcare Enterprise). Standardized medical terminology (SNOMED CT, LOINC, RadLex).
5 AI-Suggested Diagnoses and Treatment Pathways
MAIA suggests differential diagnoses based on findings, recommends subsequent diagnostic pathways according to clinical guidelines, proposes evidence-based treatment options. Suggestions are presented to professionals as decision support.
6 Professional Review and Validation
Professional (radiologist, ophthalmologist, medical specialist) receives preliminary report, AI suggestions, and highlighted areas. Maintains full diagnostic authority, modifies and finalizes the report. MAIA facilitates, never replaces.
7 Integration with Healthcare Information Systems
Final reports automatically distributed to EMR, PACS, RIS via HL7/FHIR. Referring physicians notified for urgent cases. Structured data available for clinical research, quality audits, and epidemiological analysis.
8 Continuous Learning and Optimization
Professional's final interpretation teaches the system. Corrections refine future analysis. System learns specific patterns of local population, institutional protocols, and professional preferences, continuously improving while maintaining 100% precision.

Automated Report Generation to Standards

MAIA automatically generates structured diagnostic reports compliant with international healthcare standards, ensuring interoperability, traceability, and regulatory compliance.

Supported Reporting Standards

DICOM Structured Reporting (SR)

Structured reports according to DICOM SR standards including coded terminology, quantitative measurements, and direct links to images. Fully integrated with PACS systems.

HL7 Clinical Document Architecture (CDA)

Clinical documents compliant with HL7 CDA for EMR integration. Includes structured sections for indication, technique, findings, diagnostic impression, and recommendations.

IHE Profiles

Compliance with IHE (Integrating Healthcare Enterprise) profiles for standard radiology and ophthalmology workflows: IHE RAD, IHE EYE CARE, ensuring interoperability among heterogeneous systems.

FHIR Diagnostic Report

FHIR DiagnosticReport resource for integration with modern API-based systems. Includes references to imaging, coded observations, and structured conclusions.

Standardized Terminology

Use of SNOMED CT for clinical terminology, RadLex for radiological terms, LOINC for tests and measurements. Ensures semantic consistency and supports search and analysis.

Specialty-Specific Templates

Customized templates for radiology (e.g., Lung-RADS for lung nodules), ophthalmology (e.g., diabetic retinopathy classification), oncology (e.g., RECIST for tumor assessment).

Automated Report Content

  • Patient Demographics: Automatically integrated from RIS/EMR with privacy validation
  • Study Information: Modality, date/time of acquisition, protocol used, technical parameters
  • Clinical Indication: Extracted from request and enriched with relevant clinical history
  • Examination Technique: Automatic description based on DICOM metadata and standard protocols
  • Comparison with Priors: Automatic comparative analysis with prior studies, evolutionary measurements
  • Structured Findings: Systematic anatomical description with standard terminology coding
  • Quantitative Measurements: Dimensions, volumes, densities with standardized units and normative references
  • Diagnostic Impression: Conclusive synthesis with differential diagnoses ordered by probability
  • Recommendations: Suggested follow-up, further investigations, specialist consultations according to guidelines
  • Urgency Level: Automatic classification (routine, urgent, emergency) for prioritization
  • Bibliographic References: Links to clinical guidelines and evidence-based literature
  • Process Metadata: Analysis timestamps, algorithm version, confidence scores for quality audit

AI-Suggested Diagnoses and Treatment Pathways

MAIA provides evidence-based clinical suggestions to healthcare professionals, supporting the decision-making process with artificial intelligence precise to 100%. Suggestions are presented as support, never as substitutes for professional clinical judgment.

AI Suggestion Categories

The MAIA system generates structured suggestions based on findings analysis, comparison with similar case databases, and application of international clinical guidelines.

Differential Diagnoses

  • List of possible diagnoses ordered by probability
  • Specific diagnostic criteria for each hypothesis
  • Confidence percentage based on pattern matching
  • Key findings supporting or excluding diagnoses

Subsequent Investigations

  • Recommended additional imaging studies
  • Pertinent laboratory tests
  • Biopsies or invasive procedures if indicated
  • Optimal timing for follow-up imaging

Treatment Options

  • Evidence-based treatments for detected condition
  • Appropriate pharmacotherapy according to guidelines
  • Surgical interventions if necessary
  • Conservative therapies and monitoring

Specialist Consultations

  • Specialists to involve in the case
  • Urgency of requested consultation
  • Clinical information to share
  • Multidisciplinary approach if necessary

Follow-up Protocols

  • Time intervals for control imaging
  • Parameters to monitor over time
  • Criteria for modifying treatment plan
  • Warning signs requiring attention

Applicable Guidelines

  • References to pertinent international guidelines
  • Scientific society recommendations
  • Standardized classification criteria
  • Evidence-based decision algorithms

How Professionals Use AI Suggestions

MAIA suggestions are designed to augment, not replace clinical expertise. Healthcare professionals always maintain full autonomy and responsibility in diagnostic and therapeutic decisions.

  • Critical Review: Professional evaluates each suggestion in the complete clinical context of the patient
  • Integration with Clinical Judgment: AI suggestions are combined with clinical experience, patient knowledge, and contextual factors
  • Complete Modifiability: All suggestions can be accepted, modified, or rejected by the professional
  • Decision Traceability: System documents which suggestions were followed for clinical audit
  • Feedback Loop: Professional's final decisions improve the system's future suggestions
  • Educational Support: For junior professionals, suggestions serve as teaching tool and quality assurance
  • Error Reduction: AI suggestions help prevent oversights and ensure complete consideration of differential diagnoses

Multi-Specialty Capabilities: Beyond Radiology

MAIA is not limited to traditional radiology. The system operates across multiple medical specialties, providing integrated analysis and diagnostic support with 100% precision.

Complete Radiology

Modalities: CT, MRI, X-ray, Mammography, Ultrasound, PET/CT, Nuclear Medicine

Applications: Chest imaging (lung nodules, interstitial disease), neuro-imaging (stroke, tumors), abdominal imaging (liver, pancreas), musculoskeletal (fractures, lesions), cardiac (CT coronary, cardiac MRI)

Advanced Ophthalmology

Modalities: OCT (Optical Coherence Tomography), Fundus Camera, Retinal Angiography, Corneal Topography, Pachymetry, Computerized Perimetry

Applications: Diabetic retinopathy, macular degeneration, glaucoma, retinal pathologies, corneal pathologies, population ophthalmologic screening

Digital Dermatology

Modalities: Digital dermatoscopy, Hyperspectral cutaneous imaging, Confocal microscopy

Applications: Melanoma screening, pigmented lesion classification, nevi monitoring, dermatosis diagnosis, teledermatology

Digital Pathology

Modalities: Whole Slide Imaging (WSI), Digital microscopy, Digital immunohistochemistry

Applications: Tumor histological diagnosis, neoplasm grading, biomarker quantification, cytological analysis, pathology teleconsultation

Cardiac Imaging

Modalities: Echocardiography, Cardiac MRI, Coronary CT, Angiography, Cardiac nuclear medicine

Applications: Ventricular function assessment, coronary disease, valvular disease, cardiomyopathies, pre-intervention imaging

Functional Neurology

Modalities: Functional MRI (fMRI), DTI (Diffusion Tensor Imaging), Brain PET, SPECT

Applications: Neurodegenerative diseases, epilepsy, functional neuroimaging, neurosurgical planning, cognitive assessment

Cross-Specialty Integration

MAIA's true power emerges in data integration from multiple specialties. For example:

  • Diabetic Patient: Correlation between retinal imaging (ophthalmology), nephropathy on renal MRI (radiology), and neuropathy on electromyography for systemic complication assessment
  • Multidisciplinary Oncology: Integration of radiological imaging (staging), pathology (grading), cardiology (therapy cardiotoxicity) for complete cancer patient management
  • Complex Neurology: Combination of structural and functional neuroimaging, correlation with clinical and laboratory data for differential diagnosis of neurological diseases

Transform Your Multi-Specialty Diagnostic Workflows

Discover how MAIA's Multi-Specialty Medical Imaging Intelligence improves diagnostic precision, generates automated reports to standards, and provides evidence-based AI suggestions with 100% accuracy

Request a Personalized Demo