Výsledky vyhledávání - "Plate, A. F."

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Explainable AI in Orthopedics: Challenges, Opportunities, and Prospects

Autor: Amirian, Soheyla, Carlson, Luke A., Gong, Matthew F., Lohse, Ines, Weiss, Kurt R., Plate, Johannes F., Tafti, Ahmad P.

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. Several factors contribute to this slower uptake, including regulatory framew

Externí odkaz: http://arxiv.org/abs/2308.04696

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

Autor: Littlefield, Nickolas, Plate, Johannes F., Weiss, Kurt R., Lohse, Ines, Chhabra, Avani, Siddiqui, Ismaeel A., Menezes, Zoe, Mastorakos, George, Thakar, Sakshi Mehul, Abedian, Mehrnaz, Gong, Matthew F., Carlson, Luke A., Moradi, Hamidreza, Amirian, Soheyla, Tafti, Ahmad P.

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. While deep learning algorithms have demonstrated exceptional performance in medical i

Externí odkaz: http://arxiv.org/abs/2308.04356

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Word Embedding Neural Networks to Advance Knee Osteoarthritis Research

Autor: Amirian, Soheyla, Ghazaleh, Husam, Assefi, Mehdi, Kremers, Hilal Maradit, Arabnia, Hamid R., Plate, Johannes F., Tafti, Ahmad P.

Osteoarthritis (OA) is the most prevalent chronic joint disease worldwide, where knee OA takes more than 80% of commonly affected joints. Knee OA is not a curable disease yet, and it affects large columns of patients, making it costly to patients and

Externí odkaz: http://arxiv.org/abs/2212.11933

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