AIMC Topic: Dermatology
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Artificial intelligence in Dermatopathology.
Journal of cosmetic dermatology
Dec 22, 2022
INTRODUCTION: Ever evolving research in medical field has reached an exciting stage with advent of newer technologies. With the introduction of digital microscopy, pathology has transitioned to become more digitally oriented speciality. The potential...
Artificial Intelligence Training in Canadian Dermatology to Increase Dermatologists Engagement and Enhance Medical Practice.
Journal of cutaneous medicine and surgery
Nov 30, 2022
In defence of the machines: How artificial intelligence may help to improve dermatologic outcomes and diminish barriers and disparities in care.
The Australasian journal of dermatology
Nov 21, 2022
Distribution of race and Fitzpatrick skin types in data sets for deep learning in dermatology: A systematic review.
Journal of the American Academy of Dermatology
Oct 20, 2021
Do People Favor Artificial Intelligence Over Physicians? A Survey Among the General Population and Their View on Artificial Intelligence in Medicine.
Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
Oct 13, 2021
OBJECTIVES: To investigate the general population's view on artificial intelligence (AI) in medicine with specific emphasis on 3 areas that have experienced major progress in AI research in the past few years, namely radiology, robotic surgery, and d...
Characterizing dermatology mobile applications that use artificial intelligence.
Dermatology online journal
Sep 15, 2021
Unintentional consequences of artificial intelligence in dermatology for patients with skin of colour.
Clinical and experimental dermatology
May 31, 2021
Development and Assessment of an Artificial Intelligence-Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices.
JAMA network open
Apr 1, 2021
IMPORTANCE: Most dermatologic cases are initially evaluated by nondermatologists such as primary care physicians (PCPs) or nurse practitioners (NPs).
Raising the Bar for Randomized Trials Involving Artificial Intelligence: The SPIRIT-Artificial Intelligence and CONSORT-Artificial Intelligence Guidelines.
The Journal of investigative dermatology
Mar 22, 2021
Artificial intelligence (AI)-based applications have the potential to improve the quality and efficiency of patient care in dermatology. Unique challenges in the development and validation of these technologies may limit their generalizability and re...
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation.
IEEE transactions on neural networks and learning systems
Feb 4, 2021
A common shortfall of supervised deep learning for medical imaging is the lack of labeled data, which is often expensive and time consuming to collect. This article presents a new semisupervised method for medical image segmentation, where the networ...
Imaging, Three-Dimensional
Humans
Image Processing, Computer-Assisted
Neural Networks, Computer
Optic Disk
Glaucoma
Liver
Skin Diseases
Diagnostic Imaging
Dermatology
Fundus Oculi
Tomography, X-Ray Computed
Algorithms
Supervised Machine Learning
Reproducibility of Results
Databases, Factual
Deep Learning
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