Linköping University Hospital

Accuracy of Radiologic Assessment of Tibia1 Shaft Fracture Union in Humans

RICHARD R. R. HAMMER, STAFFAN HAMMERBY, BERNT LINDHOLM

1985 · 104 Zit.

Integrated Diagnostics: The Computational Revolution Catalyzing Cross-disciplinary Practices in Radiology, Pathology, and Genomics

Claes Lundström, Hannah Gilmore, Pablo R. Ros

2017 · 33 Zit.

Combined fractures of the femoral and tibial shafts in the same limb

H Höjer, Jan Gillquist, S.‐O. Liljedahl

1977 · 29 Zit.

Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training

Caroline Bivik Stadler, Martin Lindvall, Claes Lundström et al.

2020 · 22 Zit.

Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review

Elinor Laws, Joanne Palmer, Joseph Alderman et al.

2024 · 11 Zit.

Breaking the silence: AI’s contribution to detecting vertebral fractures in opportunistic CT scans in the elderly—a validation study

Anna Spångéus, Tomas Bjerner, Maria Lindblom et al.

2025 · 7 Zit.

ICURE: Intensive care unit (ICU) risk evaluation for 30‐day mortality. Developing and evaluating a multivariable machine learning prediction model for patients admitted to the general <scp>ICU</scp> in Sweden

Tobias Siöland, Araz Rawshani, Bengt Nellgård et al.

2024 · 3 Zit.

Round table discussion. Integration of artificial intelligence into daily practice

Robert Miller, Angela E. Kedgley, Simon Farnebo et al.

2025 · 1 Zit.

A rapid review on the application of common data models in healthcare: Recommendations for data governance and federated learning in artificial intelligence development

Hanna von Gerich, Taridzo Chomutare, Ville Kytö et al.

2025 · 1 Zit.

Clinical implementation of AI for vertebral fracture detection in CT aligned with fracture liaison services: high prevalence of undiagnosed vertebral fractures

Mischa Woisetschläger, Evangelia Baldimtsi, Maria Lindblom et al.

2026 · 0 Zit.

Radiographers’ role in the age of AI: A qualitative comparative multi case study

S.L. Sundland, L.-L. Lundvall, Håkan Gustafsson et al.

2026 · 0 Zit.

P12.41.B MGMT PROMOTER METHYLATION STATUS FOR GLIOBLASTOMA: DETERMINATION OF THE CLINICALLY RELEVANT CUT-OFF VALUE FOR TREATMENT PREDICTION

N Skarin, Martin Hallbeck, Katja Werlenius et al.

2025 · 0 Zit.

Corrigendum to “Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review” [Clin Imaging 118 (2025) 110369]

Elinor Laws, Joanne Palmer, Joseph Alderman et al.

2025 · 0 Zit.