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1.
Trends and projection of forearm fractures including elbow fractures of the Olecranon in Sweden: an analysis of 363 968 fractures using public aggregated data.
BMC Musculoskelet Disord
; 25(1): 33, 2024 Jan 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-38178106
2.
Application of deep learning for automated diagnosis and classification of hip dysplasia on plain radiographs.
BMC Musculoskelet Disord
; 25(1): 117, 2024 Feb 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-38336666
3.
Development and validation of an artificial intelligence model for the classification of hip fractures using the AO-OTA framework.
Acta Orthop
; 95: 340-347, 2024 Jun 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-38888052
4.
Artificial intelligence can be used in the identification and classification of shoulder osteoarthritis and avascular necrosis on plain radiographs: a training study of 7,139 radiograph sets.
Acta Orthop
; 95: 319-324, 2024 Jun 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-38884536
5.
ChatGPT-4 generates orthopedic discharge documents faster than humans maintaining comparable quality: a pilot study of 6 cases.
Acta Orthop
; 95: 152-156, 2024 03 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-38597205
6.
Evaluation of Three-Dimensional Bioprinted Human Cartilage Powder Combined with Micronized Subcutaneous Adipose Tissues for the Repair of Osteochondral Defects in Beagle Dogs.
Int J Mol Sci
; 23(5)2022 Mar 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-35269885
7.
Considerations on the Demography of BIA-ALCL in European Countries Based on an E(A)SAPS Survey.
Aesthetic Plast Surg
; 45(6): 2639-2644, 2021 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-34286385
8.
The influence of depression on patient-reported outcomes for hip-fracture patients 1 year after surgery: a prospective cohort study.
Aging Clin Exp Res
; 32(2): 247-255, 2020 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-31028625
9.
Only 8% of major preventable adverse events after hip arthroplasty are filed as claims: a Swedish multi-center cohort study on 1,998 patients.
Acta Orthop
; 91(1): 20-25, 2020 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-31615309
10.
Timing of adverse events in patients undergoing acute and elective hip arthroplasty surgery: a multicentre cohort study using the Global Trigger Tool.
BMJ Open
; 13(6): e064794, 2023 06 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-37295831
11.
Deep learning classification of shoulder fractures on plain radiographs of the humerus, scapula and clavicle.
PLoS One
; 18(8): e0289808, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37647274
12.
Natural language processing with deep learning for medical adverse event detection from free-text medical narratives: A case study of detecting total hip replacement dislocation.
Comput Biol Med
; 129: 104140, 2021 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-33278631
13.
Measuring adverse events following hip arthroplasty surgery using administrative data without relying on ICD-codes.
PLoS One
; 15(11): e0242008, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-33152055
14.
Exploring the incidence and nature of nursing-sensitive orthopaedic adverse events: A multicenter cohort study using Global Trigger Tool.
Int J Nurs Stud
; 102: 103473, 2020 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-31810021
15.
Validation of adverse events after hip arthroplasty: a Swedish multi-centre cohort study.
BMJ Open
; 9(3): e023773, 2019 03 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-30850403
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