Computer-aided diagnosis methods for high-frequency ultrasound data analysis: a review
J Czajkowska, M Borak - Sensors, 2022 - mdpi.com
Over the last few decades, computer-aided diagnosis systems have become a part of clinical
practice. They have the potential to assist clinicians in daily diagnostic tasks. The image …
practice. They have the potential to assist clinicians in daily diagnostic tasks. The image …
Deep learning in rheumatological image interpretation
Artificial intelligence techniques, specifically deep learning, have already affected daily life
in a wide range of areas. Likewise, initial applications have been explored in rheumatology …
in a wide range of areas. Likewise, initial applications have been explored in rheumatology …
Development of a convolutional neural network for the identification and the measurement of the median nerve on ultrasound images acquired at carpal tunnel level
G Smerilli, E Cipolletta, G Sartini, E Moscioni… - Arthritis Research & …, 2022 - Springer
Background Deep learning applied to ultrasound (US) can provide a feedback to the
sonographer about the correct identification of scanned tissues and allows for faster and …
sonographer about the correct identification of scanned tissues and allows for faster and …
Ultrasound acoustic phase analysis enables robotic visual-servoing of magnetic microrobots
Microrobots (MRs) have attracted growing interest for their potentialities in diagnosis and
noninvasive intervention in hard-to-reach body areas. The safe operation of biomedical MRs …
noninvasive intervention in hard-to-reach body areas. The safe operation of biomedical MRs …
High-frequency ultrasound dataset for deep learning-based image quality assessment
J Czajkowska, J Juszczyk, L Piejko, M Glenc-Ambroży - Sensors, 2022 - mdpi.com
This study aims at high-frequency ultrasound image quality assessment for computer-aided
diagnosis of skin. In recent decades, high-frequency ultrasound imaging opened up new …
diagnosis of skin. In recent decades, high-frequency ultrasound imaging opened up new …
Identification of tophi in ultrasound imaging based on transfer learning and clinical practice
TM Lin, HY Lee, CK Chang, KH Lin, CC Chang… - Scientific reports, 2023 - nature.com
Gout is a common metabolic disorder characterized by deposits of monosodium urate
monohydrate crystals (tophi) in soft tissue, triggering intense and acute arthritis with …
monohydrate crystals (tophi) in soft tissue, triggering intense and acute arthritis with …
Artificial intelligence in rheumatology and musculoskeletal diseases
The field of artificial intelligence (AI) in medicine has evolved dramatically over the past
decade, paving the way for ground-breaking innovation. Recently, the potentiality of AI in …
decade, paving the way for ground-breaking innovation. Recently, the potentiality of AI in …
Artificial intelligence model for segmentation and severity scoring of osteophytes in hand osteoarthritis on ultrasound images
BS Overgaard, ABH Christensen, L Terslev… - Frontiers in …, 2024 - frontiersin.org
Objective To develop an artificial intelligence (AI) model able to perform both segmentation
of hand joint ultrasound images for osteophytes, bone, and synovium and perform …
of hand joint ultrasound images for osteophytes, bone, and synovium and perform …
Current Status and Advancement of Ultrasound Imaging Technologies in Musculoskeletal Studies
Abstract Purpose of Review This paper aims to review the currently available ultrasound
imaging technologies in musculoskeletal studies by showcasing recent representative works …
imaging technologies in musculoskeletal studies by showcasing recent representative works …
Responding to and driving change in Rheumatology: report from the 12th international Immunology summit 2021
R Felten, N Rosine - Rheumatology and Therapy, 2022 - Springer
Abstract The coronavirus disease 2019 (COVID-19) pandemic has accelerated changes to
rheumatology daily clinical practice. The main goal of the 12th International Immunology …
rheumatology daily clinical practice. The main goal of the 12th International Immunology …