Artificial intelligence in cosmetic dermatology: a systematic literature review

P Vatiwutipong, S Vachmanus, T Noraset… - IEEE Access, 2023 - ieeexplore.ieee.org
Over the last ten years, the field of dermatology has experienced significant advancements
through the utilization of artificial intelligence (AI) technologies. The adoption of such …

Prediction of wart treatment response using a hybrid GA-ensemble learning approach

AG Qasem, SS Lam - Expert Systems with Applications, 2023 - Elsevier
Warts are a common type of skin disease that is caused mainly by human papillomavirus
(HPV). Several approaches are used to treat warts, which include the popular cryotherapy …

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment

M Abdar, VN Wijayaningrum, S Hussain… - Journal of medical …, 2019 - Springer
Wart disease (WD) is a skin illness on the human body which is caused by the human
papillomavirus (HPV). This study mainly concentrates on common and plantar warts. There …

Decision tree-based methodology to select a proper approach for wart treatment

MM Ghiasi, S Zendehboudi - Computers in biology and medicine, 2019 - Elsevier
The human papillomaviruses (HPVs) can be responsible for various types of benign tumors
called warts. Although warts can grow on all parts of the human body, common warts and …

[HTML][HTML] Early diagnosis and personalised treatment focusing on synthetic data modelling: novel visual learning approach in healthcare

AY Mahmoud, D Neagu, D Scrimieri… - Computers in Biology …, 2023 - Elsevier
The early diagnosis and personalised treatment of diseases are facilitated by machine
learning. The quality of data has an impact on diagnosis because medical data are usually …

[HTML][HTML] Framework for the development of data-driven Mamdani-type fuzzy clinical decision support systems

YF Hernández-Julio, MJ Prieto-Guevara… - Diagnostics, 2019 - mdpi.com
Clinical decision support systems (CDSS) have been designed, implemented, and validated
to help clinicians and practitioners for decision-making about diagnosing some diseases …

[PDF][PDF] Wart treatment decision support using support vector machine

M Rahman, Y Zhou, S Wang, J Rogers - International Journal of …, 2020 - academia.edu
Warts are noncancerous benign tumors caused by the Human Papilloma Virus (HPV). The
success rates of cryotherapy and immunotherapy, two common treatment methods for …

Skin, scalpel and the silicon chip: a systematic review on the accuracy, bias and data governance of artificial intelligence in dermatology, minimally invasive aesthetics …

E Rahman, S Sadeghi-Esfahlani, P Rao… - European Journal of …, 2025 - Springer
Methods A systematic review was conducted following PRISMA guidelines. A broad search
of databases including PubMed, EMBASE, and Scopus was performed to identify studies on …

[HTML][HTML] Pruning fuzzy neural network applied to the construction of expert systems to aid in the diagnosis of the treatment of cryotherapy and immunotherapy

A Junio Guimarães, P Vitor de Campos Souza… - Big Data and Cognitive …, 2019 - mdpi.com
Human papillomavirus (HPV) infection is related to frequent cases of cervical cancer and
genital condyloma in humans. Up to now, numerous methods have come into existence for …

Wart treatment method selection using AdaBoost with random forests as a weak learner

MA Putra, NA Setiawan, S Wibirama - Communications in science and …, 2018 - cst.kipmi.or.id
Selection of wart treatment method using machine learning is being a concern to
researchers. Machine learning is expected to select the treatment of warts such as …