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In development
Common infrastructure and medical assistance
Clinical Copilot
It is an auxiliary infrastructure that provides information and standards in real time next to the medical staff during treatment. AI does not replace medical staff, but rather augments them, and is designed as a common layer that applies equally to all departments beyond dermatology and plastic surgery. It is currently being developed as the earliest of AetherHeal Global's platforms.
Product progress stage
DermatoScan AIbeta
Dockie-talkiebeta
WoundScan AIIn development
Clinical CopilotIn development
Clinical Copilot is the earliest stage of the AetherHeal Global platform. The above steps follow Home's product condition standards.
WHAT IT IS
The decision-making body is always the medical staff.
Clinical Copilot does not provide answers for you. To help medical staff make faster and more accurate decisions, we reinforce evidence without interrupting the flow of care.
01
Organizing information during treatment
It reads patient context and care conversations in a non-intrusive way, presenting relevant information only when it is needed. The system is such that the evidence needed for judgment is placed at the time of treatment so that the medical staff does not have to search or search charts separately. Quiet assistance that does not disrupt the flow is key to the design.
02
Standards and Checklist
Standard procedures and treatment standards are presented in context at the point of care to reduce omissions and increase consistency of care. For example, in cases where pretreatment is necessary, standard procedures are reminded, or precautions to be considered are displayed in a timely manner. The role of the system is to help medical staff with the checklist in their head.
03
Reinforcement, not replacement
AI only provides suggestions and evidence, and the final judgment and prescription are made entirely by the medical staff. This structure, in which the medical staff remains the subject of decision-making, is the basis of trust defined by AetherHeal Global. The biggest difference from other attempts to automate medical care is that it is not automation, but reinforcement without handing over authority.
Two pillars of common infrastructure
Clinical Copilot, together with real-time medical interpretation Dockie-talkie, forms two common infrastructure axes that are common to all outpatient clinics regardless of department. If interpretation eliminates language barriers, Copilot strengthens the evidence needed to make medical judgments. The structure in which field-specific AI such as DermatoScan AI (in operation) and WoundScan AI (under development) are placed on top of this common layer is the framework of the entire platform.
HOW IT WORKS
How it works within the care flow
Clinical Copilot is not a tool that opens a separate screen, but is designed as a background layer that naturally attaches to clinical conversations. Below is the targeted operational flow at launch.
STEP 01
Step 1
Collecting context of care
It reads patient conversations and context in the background. In the treatment of foreigners, in combination with Dockie-talkie's real-time interpretation, the clinical context is conveyed to inference without interruption even if the language is different. The goal is to minimize the burden of additional input on medical staff.
STEP 02
Step 2
Background clinical reasoning
Based on the collected context, standard protocols, clinical guidelines, and precautions are inferred at the time of treatment. It operates in the background without taking up the screen so as not to slow down the speed of treatment, and only selects and exposes the evidence that is truly necessary. Timeliness and accuracy are prioritized over quantity of information.
STEP 03
Step 3
Presentation of evidence and judgment of medical staff
Inferred information, protocols, and decision-making guides are presented to medical staff in the form of suggestions. The system does not decide, and it is entirely up to the medical staff to adopt, modify, or ignore it. At all stages, the subject of decision-making is fixed as a person.
Design Principle: Augmentation without Delegation
Clinical Copilot does not automatically prescribe or determine treatment at any stage. AI only reinforces evidence and does not delegate authority, leaving final responsibility and judgment to the medical staff. This boundary is a common, platform-wide trust principle that is not compromised for convenience.
HORIZONTAL APPLICATION
Horizontal application regardless of
Rather than a single-discipline model, it is designed with a common auxiliary floor shared by all departments. So verification in one field naturally extends to other fields.
Common to all medical departments
It is designed as a common asset that applies equally to all outpatient treatments beyond skin and plastic surgery. Rather than creating a separate model for each department, a single auxiliary layer is shared, so the operational experience and data accumulated in one place are accumulated as a whole. This creates a structural moat that is difficult to replicate with single-discipline AI.
Combined with interpretation infrastructure
It operates in conjunction with Dockie-talkie's real-time medical interpretation, which is another common axis. Even when treating foreigners where there is a language barrier, the context conveyed through the interpreter is continued through the assistance, so the guidance does not stop in the middle. When the two common foundations are aligned, their value in the global care environment is greatest.
AI foundation by field
Field-specific AI, including DermatoScan AI and WoundScan AI, and future external store models operate on this common layer. When combined with the in-store model, field-specific expertise is added to common assistance, further strengthening the guidance for the relevant department. However, the specific form of the external store model has not yet been confirmed.
ROADMAP
How far have we come and where are we going?
Clinical Copilot has not yet been launched and is in the very early stages of the platform. After a common foundation is in place, development is planned for release in 2027.
Phase 1
In progress2026
This is the verification and testing stage. DermatoScan AI clinical verification, WoundScan AI development (industry-academia joint development by Professor Ha Won, Plastic Surgery Department, University of Ulsan), and Dockie-talkie clinic testing are conducted in parallel, and the first operational data is secured at Apgujeong Tune Clinic. The clinical context and operational experience accumulated at this stage becomes the foundation of the Copilot auxiliary layer.
Phase 2
Copilot launched2027
Clinical Copilot is in its first launch phase. Along with the initial investment, we will introduce Copilot, begin the deployment of common-based hospital services, and expand AI in new fields. We intentionally follow the order in which the common base is in place first and then the secondary floors above it.
Phase 3
expected2028~
We are launching an AI store ecosystem for each external field and pursuing global expansion and follow-up investments toward Southeast Asia and the Middle East. Copilot at this point aims to serve as a common foundation that supports its own sector-specific AI and entry-level models.
Current status: In development (earliest stage)
Clinical Copilot is not yet an operational service and no products are available. Compared to DermatoScan AI, which is currently in clinical verification and operation, Dockie-talkie, which is in beta stage, and WoundScan AI, which is under development, it is at the earliest stage and is being designed and developed with the goal of launching in 2027. We will inform you of the current progress without exaggeration.
FAQ
Frequently Asked Questions
We've put together some of the most frequently asked questions about what Clinical Copilot is at and how it works.
no. Clinical Copilot is not yet released and there are currently no products available. It is the earliest stage of AetherHeal Global's platform and is being developed with the goal of launching in 2027. If you would like to be the first to receive release news, please sign up for release notifications or leave an email inquiry.
That's not true. Clinical Copilot only presents information, protocols, and decision-making guides in the form of suggestions, and does not automatically decide or prescribe treatment at any stage. Adoption, modification, and disregard are entirely up to the medical staff, and the final judgment and responsibility are fixed on the person. The starting point of design is the principle that ‘AI is reinforcement, not replacement’.
no. Clinical Copilot is designed as a common auxiliary floor shared by all departments rather than a single discipline model. It applies equally to all outpatient clinics beyond dermatology and plastic surgery, and does not create a separate model for each department. When AI for each external field is integrated into the store, the guidance for that field is further strengthened.
Together, the two products form two pillars of a common foundation. While Dockie-talkie eliminates language barriers through real-time medical interpretation, Clinical Copilot strengthens the basis for clinical judgment. When the two foundations are combined, the context conveyed through interpretation is carried over to assistance during treatment for foreigners, so guidance is not interrupted even if the language is different.
In 2026, in the verification and testing phase, we will conduct clinical verification of DermatoScan AI, Dockie-talkie clinic testing, and development of WoundScan AI, and secure operational data at Apgujeong Tune Clinic. The medical context and operational experience gained during this process becomes the foundation of the Copilot auxiliary layer. The common foundation will be in place first, followed by the launch of Copilot in 2027.
Please leave a release notification request or contact us by email ([email protected]). Since it is still in the pre-launch stage, there are no formal introduction procedures in place, but we will inform you of the progress and demo schedule first. We also welcome discussions on cooperation from the perspective of partner hospitals and institutions.
Be the first to receive release news
If you are interested in learning about Clinical Copilot's progress and scheduling a demo, please contact us by email. It's still in the development stage, but we'll be the first to share the progress.