Revolutionizing Healthcare with Multimodal AI: Introducing Contact Doctor’s Biomedical API

Lomanu4 · 13 Май 2025

In an era where healthcare demands precision, speed, and interoperability, Contact Doctor unveils a groundbreaking solution: the Biomedical Multimodal API. Built on a proprietary Large Language Model (LLM), this API redefines clinical intelligence by seamlessly integrating text, images, audio, video, documents, and web search—all while maintaining contextual continuity across interactions.

Breaking Barriers with Multimodal Capabilities

Traditional healthcare tools often operate in silos, limiting their ability to synthesize diverse data types. Contact Doctor’s API shatters these constraints by supporting:

20+ Medical Image Formats: From DICOM and NIfTI for radiology to SVS for pathology, the API analyzes specialized formats critical for diagnostics.
Clinical Documents: Parse PDFs, DOCX, and CSV files to extract insights, summarize findings, or cross-reference data.
Audio/Video: Transcribe dictations, analyze patient videos, or enable telehealth interactions with context-aware responses.
Web Search: Augment queries with real-time evidence, such as retrieving the latest guidelines on aspirin in stroke prevention.

All interactions are linked via a conversation_id, ensuring persistent context for multi-turn dialogues—whether a clinician asks follow-up questions about a scan or a researcher explores treatment pathways.

SNOMED CT Integration: Bridging Terminology Gaps

Standardizing clinical terminology is vital for accurate diagnoses and global data exchange. The API embeds SNOMED CT services, offering:

Direct SNOMED code searches.
Conversational SNOMED queries (e.g., “Find codes for type 2 diabetes”).
Automated SNOMED ⇔ ICD-10 Mapping, streamlining billing and regulatory compliance.

This integration empowers professionals to codify findings effortlessly, reducing ambiguity and enhancing interoperability across healthcare systems.

Real-World Applications

Radiology: Upload a DICOM brain scan and ask, “What’s the impression?” The API identifies anomalies, references SNOMED codes, and maps them to ICD-10 for reporting.
Research: Analyze a PDF of clinical trial data with a command like “Summarize key outcomes” to accelerate literature reviews.
Telehealth: Share a video of a patient’s gait disturbance and receive differential diagnoses grounded in real-time web evidence.

Developer-Friendly Access

Integrating the API is straightforward. For example, to query an image:

curl -X POST -H "Authorization: Bearer %AUTH_TOKEN%" \
-F "conversation_id=<conv_id>" -F "text=What is your impression?" \
-F "file=@scan.dcm"