How AI impacts the Dermatology System in Saudi Arabia?

September 19, 2022

CloudPital #1 Dermatology System in Saudi Arabia is struggling to keep up with the rapidly evolving needs of dermatologists and other medical professionals. Rather than waste countless hours on research, implementation, and unforeseen fixes, visionary practices are rising to the latest trend of integrating their medical software with supportive software and AI is also coming into play.

CloudPital #1 Dermatology System in Saudi Arabia

The complexities of real-life applications for AI in dermatology workflows offer predictable challenges like the need for refinement to match traditional human procedures in clinical decisions(e.g using E-Clinic Software in Saudi Arabia). However, there can also be other unexpected factors such as a degree of bias derived from impartial training that algorithms receive from the inputted skin images by humans in the loop.

Biases can clearly have a detrimental impact on the support to clinical decision-making that AI provides:

Bias in the devices used to collect image data: variations generated from dermoscopes, digital cameras, lighting systems or any other mobile devices used for imaging
Artifacts as captured during imaging: such as human annotations using ink, lighting artifacts, human preference for different imaging modes (polarized vs non-polarized, contact vs. non contact caps imaging)
User selection deviation: inclusive of the bias in data distribution of predictable outliers, such as rare diseases.

For all these scenarios, an intelligent system should be able to predict them and have a mitigation strategy deployed. This can be as simple as communicating the right message with users about such inherent limitations, where the AI assistant does not have enough information matching test cases thus avoiding being forced to make a low confidence decision. Considering the seriousness and importance of these limitations, it is crucial that challenges can be properly addressed and communicated through the democratization of data handling, as performed by citizen data scientists.

Interestingly enough, when seen together, advantages are proven to far exceed the current challenges present in the field: an opportunity for machines to become strategic allies for improving daily workflows by increasing the diagnostic accuracy of skin conditions diagnosis. In MetaOptima’s intelligent dermatology solution, AI can be seen as a smart assistant – a silicon-made colleague capable of providing educated insight on a given case based upon the collective knowledge obtained from a large number of diverse clinical cases.

Practically speaking, EMR Software in Saudi Arabia acts as an interactive, real-time portable library of past documented cases to support better informed clinical decisions on current skin condition cases. This allows for categorizing images submitted by primary care providers to dermatology and dermato-oncology centres of excellence for streamlined clinical decision-making processes. The power of AI-driven systems offers a no-risk implementation as a better resource management resulting in highly integrated healthcare systems. Major health institutions can then expand their service coverage to millions of patients for a fraction of the costs, time and resources currently employed.