Machine learning techniques in adaptive and personalized systems for health and wellness
Traditional health systems mostly rely on rules created by experts to offer adaptive
interventions to patients. However, with recent advances in artificial intelligence (AI) and …
interventions to patients. However, with recent advances in artificial intelligence (AI) and …
[HTML][HTML] AI applications in robotics, diagnostic image analysis and precision medicine: Current limitations, future trends, guidelines on CAD systems for medicine
Background AI in healthcare has been recognized by both academia and industry in
revolutionizing how healthcare services will be offered by healthcare service providers and …
revolutionizing how healthcare services will be offered by healthcare service providers and …
An approach to the diagnosis of lumbar disc herniation using deep learning models
Background: In magnetic resonance imaging (MRI), lumbar disc herniation (LDH) detection
is challenging due to the various shapes, sizes, angles, and regions associated with bulges …
is challenging due to the various shapes, sizes, angles, and regions associated with bulges …
Automated segmentation of median nerve in dynamic sonography using deep learning: Evaluation of model performance
There is an emerging trend to employ dynamic sonography in the diagnosis of entrapment
neuropathy, which exhibits aberrant spatiotemporal characteristics of the entrapped nerve …
neuropathy, which exhibits aberrant spatiotemporal characteristics of the entrapped nerve …
The role of ultrasound for the personalized botulinum toxin treatment of cervical dystonia
UM Fietzek, D Nene, A Schramm, S Appel-Cresswell… - Toxins, 2021 - mdpi.com
The visualization of the human body has frequently been groundbreaking in medicine. In the
last few years, the use of ultrasound (US) imaging has become a well-established procedure …
last few years, the use of ultrasound (US) imaging has become a well-established procedure …
SCCNet: Self-correction boundary preservation with a dynamic class prior filter for high-variability ultrasound image segmentation
The highly ambiguous nature of boundaries and similar objects is difficult to address in
some ultrasound image segmentation tasks, such as neck muscle segmentation, leading to …
some ultrasound image segmentation tasks, such as neck muscle segmentation, leading to …
[HTML][HTML] Technology trends and applications of deep learning in ultrasonography: image quality enhancement, diagnostic support, and improving workflow efficiency
In this review of the most recent applications of deep learning to ultrasound imaging, the
architectures of deep learning networks are briefly explained for the medical imaging …
architectures of deep learning networks are briefly explained for the medical imaging …
Progressive deep snake for instance boundary extraction in medical images
Boundary extraction is meaningful in medical image analysis since it explicitly extracts the
tissue/lesions boundary coordinates, which benefits the follow-up diagnosis processes …
tissue/lesions boundary coordinates, which benefits the follow-up diagnosis processes …
A review of the challenges in deep learning for skeletal and smooth muscle ultrasound images
Featured Application Deep learning is an effective strategy for determining skeletal and
smooth muscle conditions to help clinic personnel in landmark identification, muscle site …
smooth muscle conditions to help clinic personnel in landmark identification, muscle site …
The use of artificial intelligence in musculoskeletal ultrasound: a systematic review of the literature
JM Getzmann, G Zantonelli, C Messina, D Albano… - La radiologia …, 2024 - Springer
Purpose To systematically review the use of artificial intelligence (AI) in musculoskeletal
(MSK) ultrasound (US) with an emphasis on AI algorithm categories and validation …
(MSK) ultrasound (US) with an emphasis on AI algorithm categories and validation …