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betaAI and skin pigmentation treatment by field
DermatoScan AI
AI that standardizes device selection for pigmentation treatment
It is an AI that connects 11 pigmented lesions and 6 beauty devices to standardize device selection for pigmentation treatment. The final decision on diagnosis and procedure is always made by the medical staff, and AI supports that decision with evidence.
Clinical verification status
Apgujeong Tune Clinic’s first verification case (freckles, dark spots, freckles)50+
Pigmented lesion types mapped11
Mapped Beauty Devices6
It is reinforcement, not replacement.
DermatoScan AI does not replace medical staff. We only provide evidence-based guidance on pigment lesions and device connections, but the final decision on diagnosis and treatment is always made by the medical staff. This structure, in which the medical staff remains the subject of decision-making, is the foundation on which patients and medical institutions can trust the system, and is the consistent principle by which AetherHeal Global designs all products.
Problem
Pigmentation treatment varies depending on device selection.
Although the same lesion may have different results depending on which device is used and how it is approached, the choice still largely depends on the individual experience of the operator.
01
Deviations in lesion-device matching
For pigmented lesions such as freckles, lentigo, and freckles, the appropriate wavelength and device vary depending on the type and depth of the pigment. Even if the diagnosis is the same, if the operator is different, the device chosen varies, and the difference reduces the consistency of the results. In particular, for lesions that are sensitive to stimulation, such as melasma, choosing the wrong device can worsen the pigment reaction, so matching consistency is directly related to safety.
02
Opaqueness in device selection
Paradoxically, the more medical institutions have various types of laser and toning equipment, the more often they do not have a written selection criteria for 'which device for which lesion'. If the standards are only in one's head, the judgments of each medical staff member within the same institution will vary, making it difficult to guarantee a consistent treatment experience for patients.
03
Destandardization of Experience
Clinical know-how accumulated through long-term procedures remains tacit knowledge of individuals and cannot be converted into explicit organizational standards. As a result, when experienced medical staff leave their positions, their know-how disappears, and newly joined personnel repeat the same trial and error from the beginning, lengthening the learning curve.
How it works
Read the lesion and connect to the device
DermatoScan AI classifies pigmented lesions and presents an evidence-based selection guide tailored to the device configuration of the medical institution.
STEP 01
11 lesions × 6 devices connected
The core asset of DermatoScan AI is that it organizes 11 pigmented lesions and 6 cosmetic devices into one connected structure. After classifying the type and depth of the entered lesion, we narrow down and present device options that are clinically appropriate for that lesion. This connection structure is based on actual procedure data from Apgujeong Tune Clinic and advice from university hospitals, and reflects relationships verified in clinical practice rather than abstract rules.
STEP 02
Claude API-based assistance
Selection judgment operates based on the Claude API. By combining the characteristics of the lesion and the indications for each device, a guide is created along with the rationale for ‘why this device’, so medical staff can review the context of their judgment rather than just accept the results. All outputs are provided subject to final review by medical staff, and AI does not replace decisions but organizes the ingredients for decisions.
Routing Matrix
4Device Selection Matrix
This is a 4-device selection matrix that shows the configuration of a representative pigment treatment device as an example. Based on the lesion type and pigment depth, the entered lesion is guided to the most clinically appropriate path among the four devices below. When actually introduced, the standards are adjusted and applied according to the device configuration owned by the medical institution.
| machinery and tools | Responsible Path |
|---|---|
| PicoSure | With a picosecond laser, it precisely breaks down pigment particles with short pulses and is considered a priority in the path of clear dotted pigment lesions such as freckles and lentigo. |
| Hollywood Spectra | It is a toning equipment that is placed in a path to gradually treat pigmentation with blurred boundaries and spread widely, such as freckles, with low stimulation. |
| Excel V | It is responsible for a complex lesion path in which blood vessels and pigment are intertwined, and is presented as an option for cases that are difficult to handle with a single pigment device alone. |
| Apogee Plus | With a long-wavelength laser, it is considered in the path of specific indications where pigment is located relatively deep, and its role is divided with superficial equipment to complement the response by depth. |
Validation
Verifying as the first verification case
With Apgujeong Tune Clinic as the first hospital to apply it, we are verifying and operating it in an actual clinical environment, not a laboratory.
50+
Apgujeong Tune Clinic’s first verification case (freckles, dark spots, freckles)
11
Pigmented lesion types mapped
6
Mapped Beauty Devices
Apgujeong Tune Clinic's first verification cases (freckles, dark spots, and freckles) are applied to actual treatment, and more than 50 cases are being continuously verified and operated to see how the selection criteria work in clinical settings.
For lesions that are sensitive to stimulation, such as melasma, pretreatment standards determine the results, so we reflected the advice of university hospitals to ensure clinical consistency not only in device selection but also in the pretreatment stage.
These verified standards and operating methods serve as standards for AI in each external field to follow in the future, creating a quality baseline for the entire ecosystem.
Platform
Location in the 2-Layer platform
DermatoScan AI belongs to the field-specific AI layer and operates on a common foundation for all outpatient clinics.
AI layer by field
This is a field-specific AI that is responsible for the depth of the specific field of skin pigmentation treatment. Together with WoundScan AI (plastic wound, under development) on the same floor, expert knowledge in each field is organized into AI to reinforce the judgment of medical staff.
on horizontal infrastructure
It operates on top of Dockie-talkie (real-time medical interpretation, beta) and Clinical Copilot (clinical reasoning, under development, 2027), which are common horizontal infrastructures for all outpatient clinics. By layering expertise in pigmentation treatment on the common foundation of interpretation and reasoning, treatment of foreign patients continues seamlessly.
Standards for external entry
As field-specific AI that has been directly verified, it will become the standard to be followed when external field-specific AI enters the platform in the future. DermatoScan's clinically proven selection criteria and verification method first define the baseline for entry into the ecosystem.
Impact
What will change if introduced?
DermatoScan AI is not about flashy automation, but rather aims to transform pigment treatment know-how, which was previously a personal experience, into an organizational asset.
Standardization of device selection
Lesion-to-device routing is codified, allowing device selection for the same lesion on a consistent basis regardless of the provider. Patients receive a uniform treatment experience regardless of who treats them, and institutions can reduce variation in outcomes.
Shorten the learning curve
Instead of learning the tacit knowledge of seniors from scratch through trial and error, newly joined medical staff can use proven mapping and routing guides as a starting point. Reduce time to upskilling and mitigate the impact of workforce changes on quality of care.
Capitalizing Experience
Cases accumulated in the field are accumulated within the organization's standards, not in the individual's head. Scattered clinical know-how remains as an explicit standard and is converted into long-term capabilities of medical institutions.
FAQ
Frequently Asked Questions
We have compiled the most frequently asked questions when considering the adoption of DermatoScan AI.
no. DermatoScan AI does not determine whether to diagnose or perform a procedure. We only provide evidence-based guidance on pigmented lesions and device mapping, and the final diagnosis and device selection are always made by the medical team. AI is a tool that augments, not replaces, the judgment of medical staff.
The mapping of 11 pigmented lesions and 6 beauty devices was created based on Apgujeong Tune Clinic's actual treatment data (more than 50 first verified cases, freckles, lentigo, and freckles) and consultation with a university hospital. 특히 기미처럼 민감한 병변은 전처치 기준까지 임상 자문을 반영해 정합성을 확보했습니다.
The 4-device routing matrix (PicoSure·Hollywood Spectra·Excel V·Apogee Plus) is an example of a representative configuration. When actually introduced, mapping and routing standards are adjusted and applied according to the device configuration owned by the medical institution. Detailed application scope will be provided through introduction inquiry.
DermatoScan AI is in the clinical verification and operation stage. With Apgujeong Tune Clinic as the first hospital to be applied, selection criteria are applied and verified in an actual treatment environment. It is characterized by being a field-specific AI operated in the field rather than a laboratory-level prototype.
DermatoScan AI belongs to the field-specific AI layer of AetherHeal Global’s second-tier platform. It is designed to operate on the entire outpatient common base Dockie-talkie (real-time medical interpretation, beta) and Clinical Copilot (clinical assistant, under development, 2027), so pigmentation treatment expertise and common base are connected within one platform.
Selection assistance operates based on the Claude API and combines lesion characteristics and device indications to create a guide with evidence. All outputs are provided subject to final review by the medical staff, so the medical staff does not just follow the results, but checks the context of the judgment and makes a decision together.
Are you considering adopting DermatoScan AI?
We will inform you about introduction and piloting in medical institutions. Please feel free to contact us.
Contact us for introduction