Explainable AI in Orthopedics: Challenges, Opportunities, and Prospects

no code implementations • 9 Aug 2023 • Soheyla Amirian, Luke A. Carlson, Matthew F. Gong, Ines Lohse, Kurt R. Weiss, Johannes F. Plate, Ahmad P. Tafti

While artificial intelligence (AI) has made many successful applications in various domains, its adoption in healthcare lags a little bit behind other high-stakes settings.

Descriptive

Learning Unbiased Image Segmentation: A Case Study with Plain Knee Radiographs

no code implementations • 8 Aug 2023 • Nickolas Littlefield, Johannes F. Plate, Kurt R. Weiss, Ines Lohse, Avani Chhabra, Ismaeel A. Siddiqui, Zoe Menezes, George Mastorakos, Sakshi Mehul Thakar, Mehrnaz Abedian, Matthew F. Gong, Luke A. Carlson, Hamidreza Moradi, Soheyla Amirian, Ahmad P. Tafti

Automatic segmentation of knee bony anatomy is essential in orthopedics, and it has been around for several years in both pre-operative and post-operative settings.

Anatomy Fairness +3

Word Embedding Neural Networks to Advance Knee Osteoarthritis Research

no code implementations • 22 Dec 2022 • Soheyla Amirian, Husam Ghazaleh, Mehdi Assefi, Hilal Maradit Kremers, Hamid R. Arabnia, Johannes F. Plate, Ahmad P. Tafti

Although knee OA carries a list of well-known terminology aiming to standardize the nomenclature of the diagnosis, prognosis, treatment, and clinical outcomes of the chronic joint disease, in practice there is a wide range of terminology associated with knee OA across different data sources, including but not limited to biomedical literature, clinical notes, healthcare literacy, and health-related social media.

Keyword Extraction