AI IN DERMATOLOGY
High-speed, high-precision diagnosis along with professional
The Next Frontier of Medical Innovation :
Owing to its extensive clinical, dermatoscopical, and dermatopathological image library, dermatology has assumed the lead position for the implementation of AI in the medical industry.
AI medical image identification and analysis is extremely helpful for high-speed, high-precision diagnosis along with professional review in those fields of medicine that rely on imaging data, particularly in the dermatological field.
The coronavirus disease (COVID-19) pandemic has expedited the use of digital technologies and lowered the need for face-to-face patient interaction. It has also produced a sense of urgency for the implementation of AI in healthcare, with dermatology as the primary focus.
For instance, smartphone applications can recognize and analyze skin conditions. They can also upload images to a central server for analysis, where qualified dermatologists can accurately assess the progression and remission of diseases. Many of the participants in the clinical trial eco system gain significant, quantifiable benefits from the deployment of this technology.
How Radiant Sage is Leveraging AI to Advance Dermatology Research and Practise :
Image acquisition, standardization, and segmentation :
Images are scanned, converted to a proprietary format, and then the segmented images are subjected to quality assurance and control. Due to the low contrast surrounding the skin, the fuzzy borders, the presence of artifacts, and the uneven structures that characterize lesion images, precise boundary identification (segmentation) is one of the most crucial and relevant topics in image analysis.
Blinded reads :
We usually prefer blind image evaluation methods. Sometimes unblinded image evaluation is used to show consistency with the results of fully blinded image evaluation.
Data access and image retrieval :
Throughout the course of your dermatology trial, our image management software provides simple access to and total visibility into the data. Additionally, images can be retrieved using meta data when the regulating body requests it.