German Center for Infection Research

Swarm Learning for decentralized and confidential clinical machine learning

Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.

2021 · 817 Zit.

Computer-aided detection of tuberculosis from chest radiographs in a tuberculosis prevalence survey in South Africa: external validation and modelled impacts of commercially available artificial intelligence software

Zhi Zhen Qin, Martie van der Walt, Sizulu Moyo et al.

2024 · 40 Zit.

Early user experience and lessons learned using ultra-portable digital X-ray with computer-aided detection (DXR-CAD) products: A qualitative study from the perspective of healthcare providers

Zhi Zhen Qin, Rachael Barrett, María del Mar Castro et al.

2023 · 29 Zit.

Real world federated learning with a knowledge distilled transformer for cardiac CT imaging

Malte Tölle, Philipp Garthe, Clemens Scherer et al.

2025 · 16 Zit.

Artificial intelligence in tuberculosis: a new ally in disease control

M. McClean, Traian Constantin Panciu, Christoph Lange et al.

2024 · 12 Zit.

An independent, multi-country head-to-head accuracy comparison of automated chest x-ray algorithms for the triage of pulmonary tuberculosis

William Worodria, Robert Castro, Sandra V. Kik et al.

2024 · 11 Zit.

Perspectives for using artificial intelligence techniques in radiation therapy

Guillaume Landry, Christopher Kurz, Adrian Thummerer

2024 · 4 Zit.

A Prospective Controlled Trial of Large Language Model–based Simplification of Oncologic CT Reports for Patients with Cancer

Philipp Prucker, Keno K. Bressem, Jan C. Peeken et al.

2025 · 4 Zit.

Development of interoperable, domain-specific extensions for the German Corona Consensus (GECCO) COVID-19 research dataset using an interdisciplinary, consensus-based workflow

Gregor Lichtner, Thomas Haese, Sally Brose et al.

2022 · 3 Zit.

Snake Oil or Panacea? How to Misuse AI in Scientific Inquiries of the Human Mind

R. Schlegelmilch, Lenard Dome

2026 · 0 Zit.

Harmonizing organ-at-risk structure names using open-source large language models

Adrian Thummerer, Matteo Maspero, Erik van der Bijl et al.

2025 · 0 Zit.