Artificial intelligence applications in dermatology: where do we stand?

A Gomolin, E Netchiporouk, R Gniadecki… - Frontiers in …, 2020 - frontiersin.org
Artificial intelligence (AI) has become a progressively prevalent Research Topic in medicine
and is increasingly being applied to dermatology. There is a need to understand this …

Machine learning techniques, applications, and potential future opportunities in pressure injuries (bedsores) management: a systematic review

OY Dweekat, SS Lam, L McGrath - International journal of environmental …, 2023 - mdpi.com
Pressure Injuries (PI) are one of the most common health conditions in the United States.
Most acute or long-term care patients are at risk of develo** PI. Machine Learning (ML) …

Brain tumor detection based on multimodal information fusion and convolutional neural network

M Li, L Kuang, S Xu, Z Sha - IEEE access, 2019 - ieeexplore.ieee.org
Aiming at the problem of low accuracy of traditional brain tumor detection, in this paper, a
combination of multimodal information fusion and convolution neural network detection …

A deep learning based framework for diagnosing multiple skin diseases in a clinical environment

CY Zhu, YK Wang, HP Chen, KL Gao, C Shu… - Frontiers in …, 2021 - frontiersin.org
Background: Numerous studies have attempted to apply artificial intelligence (AI) in the
dermatological field, mainly on the classification and segmentation of various dermatoses …

Application of artificial intelligence methodologies to chronic wound care and management: a sco** review

M Dabas, D Schwartz, D Beeckman… - Advances in wound …, 2023 - liebertpub.com
Significance: As the number of hard-to-heal wound cases rises with the aging of the
population and the spread of chronic diseases, health care professionals struggle to provide …

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 …

[HTML][HTML] Using machine learning technologies in pressure injury management: systematic review

M Jiang, Y Ma, S Guo, L **, L Lv, L Han… - JMIR medical …, 2021 - medinform.jmir.org
Background Pressure injury (PI) is a common and preventable problem, yet it is a challenge
for at least two reasons. First, the nurse shortage is a worldwide phenomenon. Second, the …

MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images

M Sebai, X Wang, T Wang - Medical & Biological Engineering & …, 2020 - Springer
Counting the mitotic cells in histopathological cancerous tissue areas is the most relevant
indicator of tumor grade in aggressive breast cancer diagnosis. In this paper, we propose a …

Deep learning approach based on superpixel segmentation assisted labeling for automatic pressure ulcer diagnosis

CW Chang, M Christian, DH Chang, F Lai, TJ Liu… - PloS one, 2022 - journals.plos.org
A pressure ulcer is an injury of the skin and underlying tissues adjacent to a bony eminence.
Patients who suffer from this disease may have difficulty accessing medical care. Recently …

Artificial intelligence in dermatology and healthcare: An overview

VV Pai, RB Pai - Indian Journal of Dermatology, Venereology and …, 2021 - ijdvl.com
Many aspects of our life are affected by technology. One of the most discussed
advancements of modern technologies is artificial intelligence. It involves computational …