Team

A team with clinical access builds medical AI

Not just a model team. AetherHeal combines clinical authority, specialty advisors, and product execution in one loop.

Why we can build this

Code may become cheap. Clinical access does not.

AetherHeal is not a team that simply attaches models to care. We find problems in the clinic and validate them as products.

A physician-founder with clinical authority drives the loop

The founder can identify problems in outpatient care, form product hypotheses, and validate them in real clinical use. The loop from development to live clinic use to quantitative measurement can close without depending only on external institutions.

Doctors and developers work as one team

Clinical judgment flows and engineering implementation meet in the same room. Clinical risk, compliance boundaries, and workflow constraints are reviewed at the product design stage.

Specialists validate each vertical

Vertical medical AI has to be validated by specialty clinicians. AetherHeal works with partners in plastic and reconstructive surgery, neurosurgery, internal medicine, orthopedics, and hair transplantation to define scope and judgment boundaries.

Our moat

The moat is the clinical loop

The bottleneck in medical AI is not only model performance. Real clinic access, accountable reviewers, and an operational data loop have to exist together.

We know the clinical loop, not just the model

Most medical AI teams hit a bottleneck when they need a site for proof of concept. AetherHeal can test whether a product works inside a real physician responsibility chain through founder-led outpatient clinics and essential-care testbeds.

We build horizontal infrastructure and vertical applications together

Dockie-talkie and Clinical Copilot handle the conversation, documentation, and review flow every clinic needs. DermatoScan and WoundScan handle specialty areas such as skin pigmentation and wounds, where deeper clinical validation is required. We are building an operating system for clinical AI, not a single feature.

We measure in live clinics, not just demos

DermatoScan has more than 50 early validation cases and device-input workflows. WoundScan is being co-developed with Ulsan University plastic surgery faculty and PL Therapeutics. We state maturity honestly: in operation, in validation, or in development.

Leadership

Clinical product team

A team that transfers clinical problems into technical requirements without losing the clinical context.

Dr. Jee Hoon Ju

Founder · practicing physician with clinical authority

Dr. Jee Hoon Ju is a physician-founder with direct clinical authority. In aesthetic and dermatology outpatient care, he drives the workflow behind DermatoScan, Dockie-talkie, and Clinical Copilot, translating repeatable clinical work and judgment boundaries into product language. AetherHeal is designed so AI does not replace physician judgment; it organizes patient conversations, materials, and records so clinicians can make better-reviewed decisions.

Key background

Practicing Korean physician · EU/KR dual license
ABAM certified
University of Debrecen, Medical School(Cum Laude)
MIT Sloan AI in Health Care
International Director, Apgujeong Tune Clinic
Led 50+ DermatoScan AI validation cases in founder-led outpatient clinics

Dr. Dong Hyeok Choi

Technology Leadership

I am a computer scientist with a doctorate in cultural technology and AI from KAIST. We design AetherHeal's AI agent system and multilingual medical data organization flow, and are responsible for the framework of the system so that the entire outpatient common infrastructure and the field-specific AI on top of it operate stably on a single technical structure.

Key background

PhD, KAIST Graduate School of Culture and Technology

Join us

We are looking for people to build this with us

We are building an AI-native healthcare company, but our starting point is not a flashy model. It is repetitive work and responsibility boundaries inside the clinic. We are looking for people in clinical, AI, product, and business roles who want to build a medical AI operating system validated in the field.

We want to work with people who

Turn repeated clinical work into product requirements
Agree that AI must not replace physician judgment
Can think across horizontal infrastructure and vertical AI
Care more about live-clinic validation and metrics than demos
Consider regulatory and compliance boundaries at the design stage
Want to own a meaningful axis end to end in a small team

Contact the team

FAQ

Frequently asked questions about the team

Answers to common questions about team, clinical access, and validation structure.

The cost of code and models is falling, but access to clinical domains is not. AetherHeal has a physician-founder with clinical authority, an integrated doctor-developer team, live outpatient testbeds, and a specialty advisor network in one loop, so product hypotheses can be validated inside real clinical workflows.

It is more than receiving medical advice. It means the founder can see patients, understand outpatient operations, and test the product inside a real responsibility chain. This reduces requirements loss and clarifies where AI should assist and where it should stop.

No single physician can validate every vertical medical AI area. Specialists define scope, review criteria, and dangerous boundaries across plastic and reconstructive surgery, neurosurgery, internal medicine, orthopedics, and hair transplantation.

DermatoScan AI has more than 50 early validation cases and device-input workflows. Dockie-talkie is a beta workflow for structuring clinical conversations and materials. WoundScan AI is being co-developed with Ulsan University plastic surgery faculty and PL Therapeutics. Clinical Copilot is being developed to surface information and evidence on clinician review screens.

No. AetherHeal organizes conversations, images, records, and review prompts so clinicians can review better. Diagnosis and treatment decisions remain with licensed clinicians.

If the mission resonates, contact us even if there is no open role. Clinical, AI, product, business development, academic collaboration, hospital adoption, and external vertical AI discussions are all welcome.

We are looking for people to build this with us