SERVICE · Medical AX Partners
AX Partners
Hire Medical AX Partners as your hospital's in-house AI team. We deliver real, tangible change for your hospital.
Do any of these sound familiar?
- We want to adopt AI, but we don't know where to start.
- Our data is scattered across departments and systems, so it's hard to use.
- Even when we bring in a solution, clinicians don't actually use it.
- The performance sounds good, but we're not sure we can rely on it here.
- Privacy, IRB, and medical-device regulation make it hard to even try.
- Projects stall at the pilot stage and never take root in real work.
- Outside vendors don't know medicine, so they stay disconnected from the field.
From assessment to adoption, solved in one continuous flow.
Assess
Discover
Build
Embed
“A team that knows the field stayed with us from assessment to adoption — for the first time, AI actually stuck in daily work.”
With proven medical AI, we change real frontline work.
Built on capability proven by supplying and validating our kidney-cancer AI solution ARNA in tertiary hospitals, we apply it across your hospital's work.
Clinical Support
- Reading assistance · Prognosis
- Clinical decision support
Medical Imaging
- Image analysis · Lesion detection
- Exam prioritization
Records & Docs
- Draft notes · Summaries
- Document classification
Nursing & Wards
- Monitoring optimization
- Alert prioritization
Administration
- Scheduling · Claims
- Document automation
Research
- Research data curation
- IRB document assistance
Field experts become your hospital's AI team.
Without hiring a dedicated team, the expert roles you need are performed right in your field.
Clinical advisors (directors·professors)
RA · regulatory specialists
Data engineers
Project managers
Here's how Medical AX works.
* The below is an example; we tailor proposals to your hospital's situation and stage.
From local clinics to tertiary and university hospitals, we tailor the starting point and scope to your size and readiness.
STEP 01
On-site Assessment
We look at your hospital's work, data, and systems to find where AI can help.
- Assessment report
- Prioritized projects
STEP 02
Choosing the Task
We pick tasks that can actually change, starting with the biggest pain points.
- Project definition
- Data-readiness check
STEP 03
Pilot in Practice
We build and validate AI in your real work environment, starting small.
- Pilot results
- Integration plan
STEP 04
Embed & Expand
We incorporate field feedback so your hospital keeps using it.
- Operations guide
- Training materials