Clinically-grounded development
We work with specialist physicians to build AI that is genuinely useful in real clinical practice.
Medical AI Custom Development
A medical AI custom-development service — from problem definition and PoC through model development, validation, and operation. From diagnostic support to prognosis prediction and risk stratification, we build the right solution for your challenge, choosing from a wide range of machine-learning methods including deep learning.
Any medical AI, built to fit the challenge
Building on deep experience developing medical-imaging diagnostic AI (SaMD), Kewel takes on custom development across medical AI as a whole. The data we work with is diverse — images, numeric, time-series and more — and we select the best approach from a wide range of machine-learning methods, including deep learning, according to the problem and the nature of the data. Beyond model building, we support data design and annotation, explainability (XAI), and — where needed — regulatory / SaMD readiness.
Challenges we address
- Automatically detect or segment specific lesions/findings from medical images
- Predict post-operative prognosis or stratify risk
- Turn research-stage results into AI usable in clinical practice
- Delegate everything from data design and annotation to dataset construction
- Develop with explainability (XAI) and regulatory / SaMD readiness in mind
- Extract quantitative biomarkers for pharmaceutical R&D
Development Process
- 01
Problem definition & PoC design
We clarify the clinical and business problem and design a proof of concept to test feasibility.
- 02
Data design & annotation
We design the required data, annotate it, and augment it as needed — with specialist-physician supervision in our own fields of expertise.
- 03
Model development & validation
We develop models with state-of-the-art methods and validate them, visualizing the rationale with explainable AI (XAI).
- 04
Clinical evaluation & SaMD readiness
We support clinical evaluation and, where applicable, design toward regulatory approval as a medical device (SaMD).
- 05
Operation & improvement
We stay involved through deployment, monitoring, and continuous accuracy improvement.
Why Kewel
Method chosen for the challenge
From a wide range of machine-learning methods including deep learning, we pick the best fit for the problem and the data — balancing accuracy and explainability.
Experience across domains
Proven development across ophthalmology, gastroenterology, orthopedics, neurology and more — spanning CT, MRI, X-ray, OCT, fundus imaging, and other modalities.
Explainable AI (XAI) & SaMD
We visualize prediction rationale and design toward medical-device (SaMD) and regulatory requirements.
NVIDIA Inception member
Selected for NVIDIA Inception, with access to GPU and technical support.
Proprietary technology & patents
We hold proprietary technology, including novel models and patents in medical-image AI.
Track Record & Partnerships
We develop our own medical AI across multiple domains including ophthalmology, gastroenterology, orthopedics, and neurology. Alongside this, we are building contracts and partnerships with medical institutions across these fields — from clinics and community hospitals to university hospitals. We are also a member of the NVIDIA Inception program.
Considering a medical AI development partner?
We can start from problem scoping and a PoC. Please feel free to get in touch.