The advent of machine vision technology has marked a paradigm shift in
medical imaging. The capability of analyzing intricate patterns within
vast datasets holds transformative potential for diagnostic precision.
Despite these advantages, the technical depth required to fully
harness machine vision remains a daunting task for many in the medical
Dermi has acknowledged this technical gap and responded with an adept
solution: The Clinical Dashboard, a platform meticulously designed to
simplify and optimize the utilization of machine vision and AI for
Single-Photo Psoriasis Severity Calculation
AI and Its Pivotal Role in Modern Medical Imaging
Machine vision and artificial intelligence have woven themselves into
the fabric of healthcare, with their impact on medical imaging being
particularly profound. These technologies promise enhanced accuracy by
not just assessing, but understanding image data at a granular level.
In dermatology, where diagnosis often hinges on nuanced visual
differences, this level of precision can be game-changing.
Fully Automated PASI Approach
Tackling Diagnostic Subjectivity
Historically, dermatological evaluations have been susceptible to
subjective variations. Even seasoned clinicians might diverge in their
interpretations of a skin condition’s severity. In addressing this
inconsistency, the Clinical Dashboard deploys AI models trained on
broad-based consensus data, paving the way for standardized,
Emphasis on Usability
While the prowess of AI is widely acknowledged, its perceived
complexity can be a deterrent. The Clinical Dashboard embodies Dermi’s
commitment to bridging this gap. Behind its streamlined interface lie
sophisticated algorithms, ensuring that dermatologists have an
efficient, intuitive tool to complement their clinical acumen.
Delving into the Clinical Dashboard's Capabilities
Quantitative Psoriasis Assessments:
The Dashboard extends beyond rudimentary classifications. It furnishes
clinicians with quantitative evaluations of conditions like psoriasis,
capturing the spectrum of disease severity.
Segmented Analysis: The Dashboard excels in
granularity, offering segment-wise skin evaluations. This meticulous
approach ensures comprehensive assessments.
Progress Tracking: The dynamic nature of
dermatological conditions necessitates ongoing monitoring. Backed by
robust statistical models, the Clinical Dashboard chronicles disease
trajectories, facilitating evidence-based therapeutic adjustments.
Enhanced Photo Comparison:
Chronological patient image comparisons transcend mere juxtaposition.
The Dashboard’s overlay tools offer nuanced comparisons, facilitating
the detection of even subtle dermatological shifts.
Streamlined Tagging: In the bustling realm
of clinical care, rapid data access is indispensable. With its
intuitive tagging system, both preset and modifiable, the Dashboard
ensures that patient profiles are readily accessible.
Personalized System Configurations:
Recognizing the myriad of preferences within the dermatological field,
the Clinical Dashboard allows users to tweak all default settings,
ensuring a tailored experience for everyone.
Flexible Server Architectures:
Data security is paramount in medical practice. With this in mind, we
built the Clinical Dashboard to support both Cloud, and on-site Local
server configurations. With a Local server configuration, all data is
processed and stored within your premises.
Fully Automated PASI Integration
For those keen on an immersive experience, video demonstrations and a
wealth of information await at
Clinical Dashboard Info Page. Engage directly with the platform via the
Clinical Dashboard. Embracing the ethos of community-driven development, Dermi has
waived any fees for the online Clinical Dashboard Demo, urging users
to share their invaluable feedback.
Pioneering AI-Driven Dermatology
Dermi’s initiative goes beyond just technology — it's a new approach
to dermatology. By integrating AI within clinical practice, we aim to
improve diagnosis, treatment, and therapeutic outcomes. The Clinical
Dashboard showcases this integration, marking a significant step
forward in patient care.
Denys Breslavets: Lead Software Engineer at Dermi
Maksym Breslavets: Lead Researcher at Dermi
Enabling the creation of next generation dermatological tools and systems.