A tireless medical assistant
Artificial intelligence is not there to replace the doctor, but to relieve them of the administrative and cognitive burden. 53% of professionals already use AI to improve their practice.
Report Management
Tedious Manual Entry: Dictation and writing of reports after each consultation. Risk of forgetting and high mental load at the end of the day.
Report Management
Intelligent Medical Scribe: Real-time transcription and structuring of exchanges to generate a precise and formatted medical report instantly.
Patient File Analysis
Time-consuming Consultation: Cross-reading complex files (PDFs, analyses, histories) to find precedents or contraindications.
Patient File Analysis
Instant Clinical Synthesis: AI analyzes the full history and summarizes critical points, allergies, and drug interactions in seconds.
Appointments & Triage
Saturated Secretariat: Overwhelmed switchboard, manual management of cancellations, and difficulty prioritizing real emergencies.
Appointments & Triage
Regulation Assistant (Triage): Medical chatbot or Voicebot that qualifies the request, evaluates urgency according to your protocols, and proposes the adapted slot.
Imaging & Diagnosis
Visual Fatigue: Repetitive analysis of hundreds of images (X-rays, MRI, dermatos) with a risk of human error linked to fatigue.
Imaging & Diagnosis
Automated Second Opinion: Pre-analysis by Computer Vision that outlines anomalies and signals areas of interest for human validation.
Post-operative Monitoring
Generic Follow-up: Standardized instructions given to the patient, with little visibility into their actual recovery once they return home.
Post-operative Monitoring
Predictive Remote Monitoring: Analysis of reported data (IoT, forms) to alert the healthcare team only in case of deviation from vital signs.
Scientific Monitoring
Impossible Reading: Accumulation of medical publications and new recommendations without having the time to assimilate them.
Scientific Monitoring
Targeted Monitoring: Automatic summary of the latest relevant global publications for your specialty directly in your inbox.
But we are already using ChatGPT...
why switch to bespoke AI?
In health, error is not an option and data is sacred. Unlike public AIs (like standard ChatGPT), our bespoke approach guarantees compliance and security.
Hallucinations
AI invents non-existent symptoms or dosages.
RAG (Retrieval-Augmented Generation)
We connect the AI only to your validated knowledge base (official protocols, Vidal, your own publications). AI strictly answers based on verified medical sources.
Unsuitable Vocabulary
AI uses approximate or too vulgar language for a clinical context.
Fine-Tuning (Specific Training)
We train the model on specific medical corpora for your specialty so that it understands and uses exact terminology (ICD-10, SNOMED, etc.).
Data Confidentiality (GDPR / HDS)
Fear that patient records will end up on public servers.
Sovereignty & HDS Compliance
We deploy local models (On-Premise) or on HDS certified servers (Health Data Hosting). No patient data is used to train public models.
Diagnostic Bias
AI reproduces statistical biases unfavorable to certain populations.
Ethical Audit & Clinical Validation
We test our models to minimize algorithmic bias and ensure the final decision always remains in the practitioner's hands (Human-in-the-loop).
AI as a co-pilot,
not as a replacement.
At AIVO, we believe in augmented intelligence. Our solutions are not designed to replace human expertise, but to magnify it.
By automating low value-added tasks, we give back to your teams their most precious asset: time. Time for strategic thinking, customer relations, and innovation.
We build tools that adapt to your methods, and not the other way around. This is our vision of a successful technological partnership.
Human-Machine Synergy
A perfect integration for tenfold efficiency without loss of control.