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Surgical AI in Robot-Assisted Total Hysterectomy
Surgical AI in Robot-Assisted Total Hysterectomy
Surgical AI in Robot-Assisted Total Hysterectomy
What is the project?
Mantyx is building an AI-powered surgical co-pilot: a real-time intelligence layer that recognises, live in the operating room, which phase of a procedure is underway and which key events are unfolding. Teaching an AI to “read” surgery like this starts with one essential ingredient: large amounts of expertly annotated surgical video.
That's where you come in. Mantyx is now extending its co pilot from urology into gynaecology, beginning with Robot-Assisted Total Hysterectomy (RATH). Over the year, you'll help build the very first high-quality, expert-validated dataset for this procedure: annotating RATH surgical videos with the phases, key events and critical steps that define the operation.
And you won't do it alone. You'll work side by side with gynaecological surgeons and RATH experts who guide the annotation process and validate its clinical accuracy, so you're not just labelling video, you're learning to see surgery the way a specialist does.
The dataset you help create becomes the foundation Mantyx uses to train its phase-recognition models, and the very first step in bringing surgical AI into an entirely new field of surgery. In short: your work here goes straight into a real clinical-AI product built to make surgery safer and more consistent. And there's more than a product at stake: students who make a meaningful contribution get the chance to work towards a publishable output, a scientific paper or conference abstract, with their name on it.
What is the project?
Mantyx is building an AI-powered surgical co-pilot: a real-time intelligence layer that recognises, live in the operating room, which phase of a procedure is underway and which key events are unfolding. Teaching an AI to “read” surgery like this starts with one essential ingredient: large amounts of expertly annotated surgical video.
That's where you come in. Mantyx is now extending its co pilot from urology into gynaecology, beginning with Robot-Assisted Total Hysterectomy (RATH). Over the year, you'll help build the very first high-quality, expert-validated dataset for this procedure: annotating RATH surgical videos with the phases, key events and critical steps that define the operation.
And you won't do it alone. You'll work side by side with gynaecological surgeons and RATH experts who guide the annotation process and validate its clinical accuracy, so you're not just labelling video, you're learning to see surgery the way a specialist does.
The dataset you help create becomes the foundation Mantyx uses to train its phase-recognition models, and the very first step in bringing surgical AI into an entirely new field of surgery. In short: your work here goes straight into a real clinical-AI product built to make surgery safer and more consistent. And there's more than a product at stake: students who make a meaningful contribution get the chance to work towards a publishable output, a scientific paper or conference abstract, with their name on it.
What is the project?
Mantyx is building an AI-powered surgical co-pilot: a real-time intelligence layer that recognises, live in the operating room, which phase of a procedure is underway and which key events are unfolding. Teaching an AI to “read” surgery like this starts with one essential ingredient: large amounts of expertly annotated surgical video.
That's where you come in. Mantyx is now extending its co pilot from urology into gynaecology, beginning with Robot-Assisted Total Hysterectomy (RATH). Over the year, you'll help build the very first high-quality, expert-validated dataset for this procedure: annotating RATH surgical videos with the phases, key events and critical steps that define the operation.
And you won't do it alone. You'll work side by side with gynaecological surgeons and RATH experts who guide the annotation process and validate its clinical accuracy, so you're not just labelling video, you're learning to see surgery the way a specialist does.
The dataset you help create becomes the foundation Mantyx uses to train its phase-recognition models, and the very first step in bringing surgical AI into an entirely new field of surgery. In short: your work here goes straight into a real clinical-AI product built to make surgery safer and more consistent. And there's more than a product at stake: students who make a meaningful contribution get the chance to work towards a publishable output, a scientific paper or conference abstract, with their name on it.
In this project, you will:
Analyse surgical videos
Review recordings of robot assisted hysterectomies
Identify surgical phases
Mark key phases, events and critical procedural steps
Work with experts
Collaborate with gynecological surgeons and RATH specialists
Train surgical AI
Your annotations become training data for Mantyx's AI models
Create a publishable output
Turn your work into a real scientific publication
In this project, you will:
Analyse surgical videos
Review recordings of robot assisted hysterectomies
Identify surgical phases
Mark key phases, events and critical procedural steps
Work with experts
Collaborate with gynecological surgeons and RATH specialists
Train surgical AI
Your annotations become training data for Mantyx's AI models
Create a publishable output
Turn your work into a real scientific publication
Who is Mantyx?
Mantyx is a surgical-AI company that grew out of Orsi Academy's own innovation department, Orsi Innotech. Its flagship is an AI-powered surgical co-pilot: a system that supports surgical teams in real time, combining computer vision and surgical phase recognition to deliver procedure-aware insights, from pre-operative planning through to post-operative analysis. Its voice-controlled assistant has already been demonstrated live during robotic surgery.
Who is Mantyx?
Mantyx is a surgical-AI company that grew out of Orsi Academy's own innovation department, Orsi Innotech. Its flagship is an AI-powered surgical co-pilot: a system that supports surgical teams in real time, combining computer vision and surgical phase recognition to deliver procedure-aware insights, from pre-operative planning through to post-operative analysis. Its voice-controlled assistant has already been demonstrated live during robotic surgery.
Who is Mantyx?
Mantyx is a surgical-AI company that grew out of Orsi Academy's own innovation department, Orsi Innotech. Its flagship is an AI-powered surgical co-pilot: a system that supports surgical teams in real time, combining computer vision and surgical phase recognition to deliver procedure-aware insights, from pre-operative planning through to post-operative analysis. Its voice-controlled assistant has already been demonstrated live during robotic surgery.
Co-founded by surgeon-engineer Dr. Pieter De Backer and Prof. Dr. Alexandre Mottrie, Mantyx works at the sharp edge of what's possible in the operating room. In the Research Program, Mantyx is where your research question comes from, a real clinical challenge, waiting for an answer.
Co-founded by surgeon-engineer Dr. Pieter De Backer and Prof. Dr. Alexandre Mottrie, Mantyx works at the sharp edge of what's possible in the operating room. In the Research Program, Mantyx is where your research question comes from, a real clinical challenge, waiting for an answer.
Co-founded by surgeon-engineer Dr. Pieter De Backer and Prof. Dr. Alexandre Mottrie, Mantyx works at the sharp edge of what's possible in the operating room. In the Research Program, Mantyx is where your research question comes from, a real clinical challenge, waiting for an answer.
Who is the mentor?
Elisabetta Bilancia
Elisabetta Bilancia is a fourth-year resident in Obstetrics and Gynaecology at the University Hospital of Bologna, where she has collaborated with the Gynaecologic Oncology Unit since her second year of residency. In November 2025 she began a fellowship at Orsi Academy, working with the Innotech group on the development of the RATH AI project, an experience that has strengthened her interest in innovation, surgical technology and the application of artificial intelligence in healthcare.
Throughout the project she will work closely with the students; training them to annotate, sharing her clinical eye for surgical phases and events, and giving feedback as they go, so they steadily learn to read surgery the way a specialist does.
Who is the mentor?
Elisabetta Bilancia
Elisabetta Bilancia is a fourth-year resident in Obstetrics and Gynaecology at the University Hospital of Bologna, where she has collaborated with the Gynaecologic Oncology Unit since her second year of residency. In November 2025 she began a fellowship at Orsi Academy, working with the Innotech group on the development of the RATH AI project, an experience that has strengthened her interest in innovation, surgical technology and the application of artificial intelligence in healthcare.
Throughout the project she will work closely with the students; training them to annotate, sharing her clinical eye for surgical phases and events, and giving feedback as they go, so they steadily learn to read surgery the way a specialist does.
Who is the mentor?
Elisabetta Bilancia
Elisabetta Bilancia is a fourth-year resident in Obstetrics and Gynaecology at the University Hospital of Bologna, where she has collaborated with the Gynaecologic Oncology Unit since her second year of residency. In November 2025 she began a fellowship at Orsi Academy, working with the Innotech group on the development of the RATH AI project, an experience that has strengthened her interest in innovation, surgical technology and the application of artificial intelligence in healthcare.
Throughout the project she will work closely with the students; training them to annotate, sharing her clinical eye for surgical phases and events, and giving feedback as they go, so they steadily learn to read surgery the way a specialist does.
Could this be you?
We are looking for:
Motivated, reliable students, ready to commit for the full academic year: the estimated workload will be about 1–2 days per week.
Students in at least their second bachelor year, preferably with a background in medicine or biomedical engineering, though other biomedical backgrounds are very welcome too.
Students fascinated by surgery and the growing role of AI in the operating room.
Students with a solid grasp of surgical anatomy and procedural steps, or eager to learn it.
Meticulous, patient and consistent workers; good annotation lives and dies by attention to detail.
Team players who enjoy collaborating closely with surgeons and engineers.
No annotation experience needed! The training will be provided by RATH experts
Could this be you?
We are looking for:
Motivated, reliable students, ready to commit for the full academic year: the estimated workload will be about 1–2 days per week.
Students in at least their second bachelor year, preferably with a background in medicine or biomedical engineering, though other biomedical backgrounds are very welcome too.
Students fascinated by surgery and the growing role of AI in the operating room.
Students with a solid grasp of surgical anatomy and procedural steps, or eager to learn it.
Meticulous, patient and consistent workers; good annotation lives and dies by attention to detail.
Team players who enjoy collaborating closely with surgeons and engineers.
No annotation experience needed! The training will be provided by RATH experts
Could this be you?
We are looking for:
Motivated, reliable students, ready to commit for the full academic year: the estimated workload will be about 1–2 days per week.
Students in at least their second bachelor year, preferably with a background in medicine or biomedical engineering, though other biomedical backgrounds are very welcome too.
Students fascinated by surgery and the growing role of AI in the operating room.
Students with a solid grasp of surgical anatomy and procedural steps, or eager to learn it.
Meticulous, patient and consistent workers; good annotation lives and dies by attention to detail.
Team players who enjoy collaborating closely with surgeons and engineers.
No annotation experience needed! The training will be provided by RATH experts
Only two students will join this project,
will one of them be you?
Applications open at the start of the academic year. When you're ready, submit your CV and a short motivation through our application form.
Only two students will join this project, will one of them be you?
Applications open at the start of the academic year. When you're ready, submit your CV and a short motivation through our application form.
Only two students will join this project, will one of them be you?
Applications open at the start of the academic year. When you're ready, submit your CV and a short motivation through our application form.