Emergence of deep learning in knee osteoarthritis diagnosis
Osteoarthritis (OA), especially knee OA, is the most common form of arthritis, causing
significant disability in patients worldwide. Manual diagnosis, segmentation, and …
significant disability in patients worldwide. Manual diagnosis, segmentation, and …
[HTML][HTML] Osteoarthritis phenotypes and novel therapeutic targets
WE Van Spil, O Kubassova, M Boesen… - Biochemical …, 2019 - Elsevier
The success of disease-modifying osteoarthritis drug (DMOAD) development is still elusive.
While there have been successes in preclinical and early clinical studies, phase 3 clinical …
While there have been successes in preclinical and early clinical studies, phase 3 clinical …
Concept bottleneck models
We seek to learn models that we can interact with using high-level concepts: if the model did
not think there was a bone spur in the x-ray, would it still predict severe arthritis? State-of-the …
not think there was a bone spur in the x-ray, would it still predict severe arthritis? State-of-the …
An algorithmic approach to reducing unexplained pain disparities in underserved populations
Underserved populations experience higher levels of pain. These disparities persist even
after controlling for the objective severity of diseases like osteoarthritis, as graded by human …
after controlling for the objective severity of diseases like osteoarthritis, as graded by human …
Automatic instrument segmentation in robot-assisted surgery using deep learning
Semantic segmentation of robotic instruments is an important problem for the robot-assisted
surgery. One of the main challenges is to correctly detect an instrument's position for the …
surgery. One of the main challenges is to correctly detect an instrument's position for the …
Deep convolutional neural networks for breast cancer histology image analysis
Breast cancer is one of the main causes of cancer death worldwide. Early diagnostics
significantly increases the chances of correct treatment and survival, but this process is …
significantly increases the chances of correct treatment and survival, but this process is …
Deep learning for optic disc segmentation and glaucoma diagnosis on retinal images
Glaucoma is a major global cause of blindness. As the symptoms of glaucoma appear, when
the disease reaches an advanced stage, proper screening of glaucoma in the early stages is …
the disease reaches an advanced stage, proper screening of glaucoma in the early stages is …
Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss
Knee osteoarthritis (OA) is one major cause of activity limitation and physical disability in
older adults. Early detection and intervention can help slow down the OA degeneration …
older adults. Early detection and intervention can help slow down the OA degeneration …
Multimodal machine learning-based knee osteoarthritis progression prediction from plain radiographs and clinical data
Knee osteoarthritis (OA) is the most common musculoskeletal disease without a cure, and
current treatment options are limited to symptomatic relief. Prediction of OA progression is a …
current treatment options are limited to symptomatic relief. Prediction of OA progression is a …
Osteoarthritis endotype discovery via clustering of biochemical marker data
Objectives Osteoarthritis (OA) patient stratification is an important challenge to design
tailored treatments and drive drug development. Biochemical markers reflecting joint tissue …
tailored treatments and drive drug development. Biochemical markers reflecting joint tissue …