Lack of transparency and potential bias in artificial intelligence data sets and algorithms: a scoping review
R Daneshjou, MP Smith, MD Sun… - JAMA …, 2021 - jamanetwork.com
Importance Clinical artificial intelligence (AI) algorithms have the potential to improve clinical
care, but fair, generalizable algorithms depend on the clinical data on which they are trained …
care, but fair, generalizable algorithms depend on the clinical data on which they are trained …
Image-based artificial intelligence in wound assessment: a systematic review
Significance: Accurately predicting wound healing trajectories is difficult for wound care
clinicians due to the complex and dynamic processes involved in wound healing. Wound …
clinicians due to the complex and dynamic processes involved in wound healing. Wound …
Diagnose ADHD disorder in children using convolutional neural network based on continuous mental task EEG
M Moghaddari, MZ Lighvan, S Danishvar - Computer Methods and …, 2020 - Elsevier
Abstract Background and objective Attention-Deficit/Hyperactivity Disorder (ADHD) is a
chronic behavioral disorder in children. Children with ADHD face many difficulties in …
chronic behavioral disorder in children. Children with ADHD face many difficulties in …
An integrated design for classification and localization of diabetic foot ulcer based on CNN and YOLOv2-DFU models
Diabetes is a chronic disease, if not treated in time may lead to many complications
including diabetic foot ulcers (DFU). DFU is a dangerous disease, it needs regular treatment …
including diabetic foot ulcers (DFU). DFU is a dangerous disease, it needs regular treatment …
[HTML][HTML] Segmenting skin ulcers and measuring the wound area using deep convolutional networks
Background and objectives: Bedridden patients presenting chronic skin ulcers often need to
be examined at home. Healthcare professionals follow the evolution of the patients' …
be examined at home. Healthcare professionals follow the evolution of the patients' …
A survey of wound image analysis using deep learning: Classification, detection, and segmentation
R Zhang, D Tian, D Xu, W Qian, Y Yao - IEEE Access, 2022 - ieeexplore.ieee.org
Wounds not only harm the physical and mental health of patients, but also introduce huge
medical costs. Meanwhile, there is a shortage of physicians in some areas, and clinical …
medical costs. Meanwhile, there is a shortage of physicians in some areas, and clinical …
Image segmentation using transfer learning and Fast R-CNN for diabetic foot wound treatments
Diabetic foot ulcers (DFUs) are considered the most challenging forms of chronic ulcerations
to handle their multifactorial nature. It is necessary to establish a comprehensive treatment …
to handle their multifactorial nature. It is necessary to establish a comprehensive treatment …
[HTML][HTML] Research techniques made simple: deep learning for the classification of dermatological images
Deep learning is a branch of artificial intelligence that uses computational networks inspired
by the human brain to extract patterns from raw data. Development and application of deep …
by the human brain to extract patterns from raw data. Development and application of deep …
Multi-view data augmentation to improve wound segmentation on 3D surface model by deep learning
Wound area segmentation really progressed with the emergence of deep learning, due to its
robustness in uncontrolled lighting and no need to design hand-crafted features but two …
robustness in uncontrolled lighting and no need to design hand-crafted features but two …