MRC Lifecourse Epidemiology Unit

Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors

Shengyu Lu, Nicholas R. Fuggle, Leo D. Westbury et al.

2022 · 22 Zit.

OA22 Machine learning and computer vision of bone microarchitecture can improve the fracture risk prediction provided by DXA and clinical risk factors

Nicholas R. Fuggle, Shengyu Lu, Mícheál Ó Breasail et al.

2022 · 2 Zit.

E121 A systematic scoping review exploring the use of artificial intelligence approaches in autoimmune connective tissue diseases

Pratyasha Saha, Thushyanthan Guruparan, Nicholas Fuggle et al.

2026 · 0 Zit.

P044 Multi-centre service evaluation of the rheumatology advice line with suggestions for developing a national solution using artificial intelligence

Sarah Ryan, Julie Begum, Alexandra Eden et al.

2026 · 0 Zit.

The ‘Hippocratic Oath’ for AI-based clinical decision support systems

S Bracey, Ben Ainsworth, Joseph Alderman et al.

2026 · 0 Zit.

P061 Multimodal deep learning with cross-attention for femoral neck bone mineral density estimation

Yilin Zhang, Rahman Attar, Nicholas R. Fuggle

2026 · 0 Zit.

Corrigendum to “Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors” [Bone. 2023 Mar:168:116653]

Shengyu Lu, Nicholas R. Fuggle, Leo D. Westbury et al.

2024 · 0 Zit.

Lessons learned from a multi-centre implementation of an artificial intelligence algorithm to detect vertebral fractures for radiology, information technology, information governance and clinical leads

Rohit Vijjhalwar, Kaiyang Song, David D G Chappell et al.

2025 · 0 Zit.