What is artificial intelligence?

Artificial intelligence (AI) is a computer-aided method for data processing, which is used very widely for automatic prediction and recognition of properties on e.g. image data. We use this method to automatically detect disease symptoms on radiograph and classify them into severity levels.

For this purpose, the annotations of disease symptoms are mapped by thousands of physicians on ten thousands of images in a statistical model. This model diagnoses acquired radiographs, with a similar accuracy as the doctors who made the original diagnoses.


What are the advantages of the implementation of artificial intelligence?

If a physician has this artificial intelligence available in his practice, he can automatically consult the assembled knowledge of thousands of clinical experts on new cases as a second opinion. This expert knowledge increases the accuracy and consistency of the diagnosis. The physician saves time, can be more focused on the patient’s specific medical history, and can make better treatment decisions.

Webinar: AI in Radiology and Orthopaedics

Our Chief Operations Officer Christoph Götz presented the following topics in our webinar:

  1. What is Artificial Intelligence (AI) (1,1min)
  2. How is artificial intelligence used at ImageBiopsy Lab? (2min)
  3. Will artificial intelligence replace radiologists? (2min)
  4. How can you participate as a medical expert? (2,3min)
  5. What are the advantages of using artificial intelligence? (1,4min)
  6. How does artificial intelligence help in radiology? (3,7min)
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How is artifical intelligence used at ImageBiopsy Lab?

More coming soon!

Das sagen unsere Kunden:

Jack Farr - Orthopedist

Die KI-Software von ImageBiopsy ist innerhalb unseres PACS-Systems hochpräzise und effizient, dadurch erhalten wir wertvolle Informationen über den Status des Knies entlang des Kontinuums von Chondrose zu Arthrose.

Jack Farr, MD

Die Integration der KI-Lösungen von ImageBiopsy Lab in unser RIS und unser PACS ist simpel. Es macht Spaß, damit zu arbeiten und der visuelle Bericht ist eine ideale Unterstützung bei der Beratung unserer Patienten.

Dr. med. Mueller-Stromberg

KI-basierte Lösungen sind weniger arbeitsintensiv und die Befunde sindgenauer. Man erhält einen objektiven Wert, der zur Überwachung und Prognose des Verlaufs genutzt werden kann. Wir bieten etwas, das andere nicht haben.

Priv.-Doz. Dr. Gruber

Eine genaue Diagnose und reproduzierbare Nachuntersuchungen sind für eine erfolgreiche Arthrosetherapie unverzichtbar. Software-basierte Verfahren können dem medizinischen Fachpersonal bei der Steuerung und Anpassung der Behandlung unterstützen.

Prof. Jochen Hofstätter, MD