SaaS for AI-powered medical pre-diagnosis, ready for use by healthcare organizations. Transform healthcare through the convergence of multiple advanced technologies and models.
Learn about value and use casesSaaS for AI-powered medical pre-diagnosis, ready for use by healthcare organizations.
Transform healthcare through the convergence of multiple advanced technologies and models.
Processes not only text but also medical images (2D and 3D) and voice dictation with high accuracy.
WhatsApp, web portals and medical app/providers. Patients can interact from anywhere. Converts medical speech to text with 82% fewer errors than generalist models, enabling natural interaction.
Fine-tuning and reinforcement learning to adapt to the local protocols of the healthcare organization. The model is not generic but specialized to the institution's needs.
Integration with existing clinical workflows, electronic health records (EHR), HIS, PACS, RIS and standards such as FHIR.
Dashboard where the medical auditor supervises chats. Data curation, bias evaluation and continuous monitoring. Option to integrate an agent trained for the medical audit role.
The patient describes symptoms by voice (MedASR) or sends photos of reports or lesions. The system generates a structured summary and pre-diagnosis (MedQA) for the physician to review before the consultation.
Value: summary and pre-diagnosis ready before entering the consultation.With MedASR, physicians dictate progress notes or radiology reports with up to 82% fewer errors than generalist models.
Value: medical speech to structured text almost instantly, without manual transcription.Extracts structured data (test type, value, units) from scanned reports, with an 18% precision improvement over previous versions.
Value: integrates external results into the EHR without manual intervention.Dashboard where an audit agent reviews patient-AI interactions, evaluates bias and performs reinforcement learning to adjust the model to the clinic's protocols.
Value: safe, audited evolution aligned with regulatory and ethical requirements.For these use cases to succeed, infrastructure with interoperability (FHIR) and secure deployment (cloud or on-premise) is essential. Compliance with local regulations (HIPAA, GDPR, etc.) is considered.
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"Solutions like medGTM enable healthcare organizations to advance in AI-assisted triage and pre-diagnosis without losing human oversight. Interoperability with FHIR and EHR is key."