Booth #514, D&A exhibit
Reading and reporting of chest x-rays with support of deep learning algorithms
About this session
Millions of chest X-rays are taken annually worldwide, primarily for diagnostic purposes. One of the significant challenges faced in this domain is the shortage of skilled radiologists to interpret and analyze these X-rays efficiently. This shortage can lead to delays in diagnosis and potential errors in interpretation. Learn from Prof. Dr. Tilo Niemann how AI assists him and his colleagues in daily practice.
Tilo Niemann
EBCR, MHBA, Head Cardiac and Thoracic Imaging, Head Computed Tomography, Cantonal Hospital Baden, Switzerland
Kathrin Hörner
Global Clinical Marketing Manager Digital & Automation
Image courtesy of MVZ Prof. Dr. Uhlenbrock & Partner GmbH, Dortmund, Germany
AI-Rad Companion Chest X-ray is not commercially available in all countries and its future availability cannot be ensured.
The statements by Siemens Healthineers’ customers described herein are based on results that were achieved in the customer's unique setting. Because there is no “typical” hospital or laboratory and many variables exist (e.g., hospital size, samples mix, case mix, level of IT and/or automation adoption) there can be no guarantee that other customers will achieve the same results.