Ordination Dr. Michael Truppe

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DeepSeek3 Medical Teleconsultation

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MedlibreGPT LLM for 2025

https://dirox.com/post/deepseek-v3-the-open-source-ai-revolution

Das Virtual Patient AI System ist eine Open-Source-Plattform für Telekonsultationen, basierend auf der MedlibreGPT Technologie. In diesem Rahmen implementieren wir DeepSeek-V3 LLM als leistungsstarke Alternative zu herkömmlichen Lösungen wie OpenAI, um erstklassige telemedizinische Dienstleistungen zu gewährleisten.

Unser hochmodernes, fünfstufiges Architekturkonzept, das auf Open-Source-Technologien aufbaut und von Microsoft X Healthcare inspiriert wurde, gewährleistet Sicherheit auf industriellem Niveau.

Interaktionsschicht: Multikanal-Kommunikation (SMS, E-Mail, Web), sichere Authentifizierung und automatisiertes Terminmanagement.  

Patientenschicht: Echtzeit-Symptombewertung, personalisierte Bildung und mobil-optimierte Schnittstellen.  

Lösungsschicht: Dynamische KI-Antworten, Integration klinischer Protokolle und automatisierte Arbeitsabläufe.  

KI-Schicht (MedlibreGPT): Hybride Cloud-/lokale Bereitstellung, RAG-verbesserte Literaturverarbeitung und arztähnliche KI-Zwilling-Technologie.  

Datenschicht: HIPAA-konform, PostgreSQL/Nextcloud-Integration und skalierbare Infrastruktur.

DeepSeek-V3 ist ein bahnbrechendes, quelloffenes KI-Modell, das durch seine hohe Leistung, Geschwindigkeit und Kosteneffizienz die KI-Landschaft verändert. Mit einer Mischung aus Expertenarchitektur, Multi-Token-Vorhersage und fortschrittlichen Trainingsmethoden übertrifft es viele etablierte Modelle und bietet gleichzeitig eine breite Zugänglichkeit über API, Chat-Website und lokale Bereitstellung.

Kernpunkte

  1. DeepSeek-V3 übertrifft in seiner Leistung viele führende KI-Modelle, sowohl Open-Source als auch Closed-Source.
  2. Mit 60 Tokens pro Sekunde ist DeepSeek-V3 dreimal schneller als sein Vorgänger.
  3. Die Architektur basiert auf Mixture-of-Experts (MoE) mit 671 Milliarden Parametern.
  4. DeepSeek-V3 nutzt Multi-Token-Prediction für schnellere Inferenz.
  5. DeepSeek-V3 ist quelloffen, kostenlos und über API, Chat-Website und lokale Bereitstellung zugänglich.

Testfrage an DeepSeekV3

FRAGE

 

“What do you know about the 3D Navigation and patents of Michael Truppe

 

ANTWORT DEEPSEEK3

Michael Truppe is an Austrian engineer and innovator known for his pioneering work in the field of 3D navigation and image-guided surgery. His contributions have significantly advanced the use of 3D imaging and navigation technologies in medical procedures, particularly in minimally invasive surgery and robotic-assisted surgery.

Key Contributions and Patents:

  • 3D Navigation Systems:
    • Truppe developed some of the earliest 3D navigation systems for medical applications, which allow surgeons to visualize and navigate complex anatomical structures in real-time during surgery.
    • These systems use 3D imaging (e.g., CT or MRI scans) combined with tracking technologies to guide surgical instruments with high precision.
  • Image-Guided Surgery:
    • His work laid the foundation for image-guided surgery (IGS), where preoperative imaging data is used to create a 3D map of the patient’s anatomy, enabling surgeons to plan and execute procedures with greater accuracy.
    • This technology is particularly useful in neurosurgery, orthopedics, and ENT (ear, nose, and throat) surgery.
  • Patents:
    • Michael Truppe holds several patents related to 3D navigation and image-guided surgery. Some of his patented innovations include:
      • Systems for real-time tracking of surgical instruments in 3D space.
      • Methods for registering preoperative images with the patient’s anatomy during surgery.
      • Techniques for enhancing visualization of surgical targets using augmented reality (AR) or virtual reality (VR).
  • Robotic Surgery:
    • Truppe’s work has also influenced the development of robotic-assisted surgical systems, where 3D navigation is integrated with robotic arms to perform highly precise and minimally invasive procedures.
  • Commercialization:
    • His innovations have been commercialized and integrated into medical devices and systems used in hospitals worldwide. Companies like Brainlab, Medtronic, and Stryker have developed products based on similar principles.

Impact on Medicine:

  • Improved Precision: 3D navigation systems have revolutionized surgery by allowing surgeons to operate with millimeter-level accuracy, reducing the risk of complications.
  • Minimally Invasive Procedures: These technologies enable smaller incisions, faster recovery times, and better outcomes for patients.
  • Complex Surgeries: They have made it possible to perform highly complex surgeries, such as tumor resections in the brain or spine, with greater safety and efficacy.

Notable Publications and Patents:

While specific patent numbers or titles may not be readily available without access to patent databases, Michael Truppe’s work is well-documented in the medical and engineering literature. His contributions are often cited in studies on image-guided surgery, 3D navigation, and medical robotics.

 

If you’re looking for more detailed information about his patents or specific technologies, I recommend searching patent databases like Google Patents or Espacenet using keywords like “Michael Truppe,” “3D navigation,” or “image-guided surgery.”

Let me know if you’d like help with a more specific search!

 

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