Reconfirm the anatomical landmark before progression
01:18:42 · Physician reviewed
Physician-reviewed surgical knowledge infrastructure
Surgical video remains. The knowledge inside it stays buried.
Recordings preserve what happened. They rarely preserve why a surgeon made a decision, what risk they recognized, or how they responded. MY ROBOTS extracts that knowledge and turns it into physician-reviewed, reusable surgical knowledge.
Physician reviewed
Timestamped
Procedure specific
Product concept · de-identified demonstration
De-identified surgical video
01:18:42
00:0002:06:15
DecisionPitfallResponse
Knowledge candidates4 items
Potential blind spot during the field transition
01:24:08 · AI candidate
Technique that stabilizes the next procedural step
01:31:55 · Approved after edit
ApproveEditReject
Source-linked knowledge
Human in the loop
MY ROBOTS / AI Surgical MentorScroll to understand the system
01 / Why this matters
The video remains.
The reasoning often does not.
A recording shows what happened. It rarely preserves why an experienced surgeon changed course, recognized a risk, or chose one response over another.
Long recordings are difficult to reuse
Critical moments are buried inside hours of video, making review and teaching material creation highly manual.
Judgment stays inside individuals
The rationale behind decisions is often shared verbally, inconsistently, or only after the right question is asked.
Institutional memory remains fragmented
Valuable experience is hard to search, compare, validate, and carry forward across teams and generations.
MY ROBOTS builds the missing memory layer between surgical video and clinical learning.
02 / How it works
From evidence
to institutional memory.
AI accelerates the first pass. Physicians determine what becomes trusted knowledge.
Surgical video and permitted audio enter a controlled workflow.
AI proposes decisions, tips, pitfalls, and troubleshooting moments.
A physician approves, edits, or rejects every candidate.
Validated items remain linked to timestamps and source context.
Knowledge supports preparation, case review, and education.
Core design principleAI proposes.
Physicians decide.
Physicians decide.
The product is not designed to replace clinical judgment. It is designed to capture, structure, and extend it.
03 / Product output
A source-linked
knowledge asset.
Not a generic summary. A structured record of clinically meaningful moments, reviewer decisions, and reusable lessons.
Decision pointsTechnical tipsPitfallsTroubleshootingReview historySource timestamps
MY ROBOTSSurgical Knowledge Sheet
Physician reviewedProcedureFocused procedure · de-identified caseReview statusCompleted
4knowledge items
3approved
1edited
DECISIONReconfirm the anatomical landmark before progression
ApprovedApproved by physician reviewer · linked to source moment
PITFALLPotential blind spot during the field transition
EditedEdited for clinical specificity · linked to source moment
TIPTechnique that stabilizes the next procedural step
ApprovedApproved by physician reviewer · linked to source moment
04 / Reuse across the learning cycle
One case.
More than one use.
Prepare with relevant decisions and risks
Review procedure-specific knowledge without searching through full-length recordings.
Reflect on what happened and why
Link clinical discussion to exact moments, reviewer comments, and the surrounding context.
Turn individual experience into shared memory
Build reviewed materials for education, continuity, and procedure-specific learning.
05 / Clinical design principles
Trust is part of
the product architecture.
A knowledge item is only useful if teams know where it came from, who reviewed it, and what changed.
Physician in the loop
AI output remains a candidate until a physician approves, edits, or rejects it.
RequiredTraceable to source
Each item stays linked to the relevant timestamp and surrounding video context.
TimestampedProcedure-specific validation
Quality is defined within a focused procedure and clinical workflow before expansion.
FocusedData governance by design
Storage, access, de-identification, and permitted use follow partner requirements.
ControlledThe product is under development and validation. It is not presented as an autonomous diagnostic system, automated treatment decision maker, or unsupervised real-time clinical guidance service.
06 / Current stage
Prove usefulness
before scaling.
We are hardening the MVP and defining a repeatable physician-review workflow on a focused procedure and limited case set.
MVP development · clinical workflow validation
Planned focused evaluation before broader expansion.
Approval, edit, rejection, usefulness, and reviewer burden.
A standard workflow for upload, analysis, review, and output.
07 / News
What is moving now.
Public updates on selection and award status, PoCs, joint research, product development, events, and company milestones.
Selections & awardsPoC & researchProductEvents
MY ROBOTS launches a redesigned corporate website
The new site presents AI Surgical Mentor and our physician-reviewed surgical knowledge infrastructure in both English and Japanese.
Focused MVP and physician-review workflow validation is under way
Development is focused on a limited procedure and case set to define output quality, physician review time, and a repeatable pilot workflow.
PoC and joint research discussions are open
MY ROBOTS welcomes discussions with surgeons, hospitals, research institutions, medtech companies, and aligned partners.
View all news Only information approved for public disclosure is published.
08 / MY ROBOTS
Carry surgical experience
into the future of care.
MY ROBOTS is a healthcare AI startup developing AI Surgical Mentor — a physician-reviewed knowledge infrastructure built on surgical video.
Our goal is not to replace excellent surgical judgment. It is to make that judgment easier to review, learn from, and carry forward.
CompanyMY ROBOTS Inc.
Founded2023
Based inYokohama, Japan
FocusSurgical Knowledge AI
Build the first clinical proof with us.
The next step is a focused pilot.
We welcome conversations with surgeons, hospitals, research institutions, medtech companies, and aligned investors.