Ausgabe 2/2022
Special Issue on Artificial Intelligence
Inhalt (25 Artikel)
Introduction to the special issue on artificial intelligence in musculoskeletal radiology
Connie Y. Chang, Thomas M. Link
Clinical applications of AI in MSK imaging: a liability perspective
H. Benjamin Harvey, Vrushab Gowda
Artificial intelligence in musculoskeletal imaging: a perspective on value propositions, clinical use, and obstacles
Jan Fritz, Richard Kijowski, Michael P. Recht
Artificial intelligence applied to musculoskeletal oncology: a systematic review
Matthew D. Li, Syed Rakin Ahmed, Edwin Choy, Santiago A. Lozano-Calderon, Jayashree Kalpathy-Cramer, Connie Y. Chang
Musculoskeletal trauma and artificial intelligence: current trends and projections
Olga Laur, Benjamin Wang
Deciphering musculoskeletal artificial intelligence for clinical applications: how do I get started?
Simukayi Mutasa, Paul H. Yi
AI MSK clinical applications: spine imaging
Florian A. Huber, Roman Guggenberger
AI musculoskeletal clinical applications: how can AI increase my day-to-day efficiency?
YiRang Shin, Sungjun Kim, Young Han Lee
AI MSK clinical applications: orthopedic implants
Paul H. Yi, Simukayi Mutasa, Jan Fritz
Artificial intelligence for MRI diagnosis of joints: a scoping review of the current state-of-the-art of deep learning-based approaches
Benjamin Fritz, Jan Fritz
AI MSK clinical applications: cartilage and osteoarthritis
Gabby B. Joseph, Charles E. McCulloch, Jae Ho Sohn, Valentina Pedoia, Sharmila Majumdar, Thomas M. Link
Deep learning detection of subtle fractures using staged algorithms to mimic radiologist search pattern
Mark Ren, Paul H. Yi
Deep learning for accurately recognizing common causes of shoulder pain on radiographs
Nils F. Grauhan, Stefan M. Niehues, Robert A. Gaudin, Sarah Keller, Janis L. Vahldiek, Lisa C. Adams, Keno K. Bressem
Deep learning approach to predict pain progression in knee osteoarthritis
Bochen Guan, Fang Liu, Arya Haj Mizaian, Shadpour Demehri, Alexey Samsonov, Ali Guermazi, Richard Kijowski
Natural language processing of radiology reports to investigate the effects of the COVID-19 pandemic on the incidence and age distribution of fractures
Florian Jungmann, B. Kämpgen, F. Hahn, D. Wagner, P. Mildenberger, C. Düber, R. Kloeckner
A deep learning approach to automatically quantify lower extremity alignment in children
Andy Tsai
Automated detection and segmentation of sclerotic spinal lesions on body CTs using a deep convolutional neural network
Connie Y. Chang, Colleen Buckless, Kaitlyn J. Yeh, Martin Torriani
Can AI distinguish a bone radiograph from photos of flowers or cars? Evaluation of bone age deep learning model on inappropriate data inputs
Paul H. Yi, Anirudh Arun, Nima Hafezi-Nejad, Garry Choy, Haris I. Sair, Ferdinand K. Hui, Jan Fritz
Artificial intelligence in orthopedic implant model classification: a systematic review
Mark Ren, Paul H. Yi
Predicting long-term outcomes of ultrasound-guided percutaneous irrigation of calcific tendinopathy with the use of machine learning
Evangelia E. Vassalou, Michail E. Klontzas, Kostas Marias, Apostolos H. Karantanas
Your mileage may vary: impact of data input method for a deep learning bone age app’s predictions
Paul H. Yi, Alice C. Yu, Emily A. Dunn, Haris I. Sair
Test Yourself-Question: Multiple facial skin lesions associated with gingival hypertrophy in a pair of siblings
Nour Marroun, Diane Franck, Valérie Segers, Grammatina Boitsios
Pachydermodactyly: the role of ultrasonography, superb microvascular imaging, and elastography in diagnosis
Cláudia Martins Novais, Luís Soares-de-Almeida, Jorge Garcia, João Madruga Dias
Mammary-type myofibroblastoma of the thigh mimicking liposarcoma
Natasha Akhlaq, Bibianna Purgina, Joel Werier, Zaid Jibri
Test yourself-answer: multiple facial skin lesions associated with gingival hypertrophy in a pair of siblings
Nour Marroun, Diane Franck, Valérie Segers, Grammatina Boitsios