The system’s synchronized software and applications
provide a streamlined communication channel for healthcare providers, facilitating the exchange of comprehensive patient data across various examination, screening, diagnostic, surgical, and pathological procedures.
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The mobile applications for both patients and certified healthcare professionals (HCPs)
are a vital component of the system, bridging the gap between patients and providers in a convenient, user-friendly format. By enabling patients to actively participate in their care through digital photos and standardized medical documentation, the app facilitates efficient monitoring, follow-up, and assessment processes.
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The integration of a deep learning (AI) sub-module
dedicated to continually learning from daily clinical experiences represents a forward-thinking approach to enhancing diagnostic precision. By analyzing patterns, outcomes, and feedback from real-world cases, this AI component can adapt and refine its diagnostic algorithms over time.
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TiS-skincs module
is envisioned as a robust solution specifically tailored for teledermoscopy skin cancer screening (cs). With its two software sub-modules and a mobile application, it offers an accessible and scalable platform for various healthcare professionals (HCPs) across different levels of care.
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TiS-skindsc module
is an advanced information system tailored for the dermoscopic (dsc) diagnosis of skin lesions and diseases, offering standardized tools for dermoscopic evaluation.
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TiS-skinse module
intends to be a comprehensive telemedicine solution designed for skin examinations (se), with three software sub-modules and two mobile applications in the fields of dermatology, plastic surgery and skin pathology. This integration offers seamless communication between the system’s components and enhances the overall functionality for both healthcare professionals (HCPs) and patients.
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The basis of the TiS-skin information system
It was designed based on a set of data widely accepted at the national and/or international level, reflecting the currently supported professional standards and practices in the diagnosis and treatment of skin cancer.
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