AI-Enhanced Healthcare Human-machine collaboration for
better patient care quality
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At Heaith, we believe in utilizing artificial intelligence for better patient care.

We aim to fill the gaps between researchers, medical professional, technological experts, and all stakeholders in healthcare ecosystem. Together, we can bring human-machine collaboration into reality to benefit patients and medical workers.

Our Services

Research Consultation

Kickstart your research idea, from planning to deployment.

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Gathering and Organizing Data

Provide software and hardware to collect and organize medical data.

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Deploy AI Application

Bring your medical AI model from research to production.

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Procurement Consultation

Help you choose the right medical AI for your needs.

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Medical AI Products

Research-based medical artificial intelligence products, ready for deployment.

PACMAN
PACMAN

Pandemic Accelerated Human-Machine Collaboration on the Use of Pulse Oximetry for Remote Health Monitoring in a low-resource setting

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MIN2Net
MIN2Net

End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification

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Multi-Scale CNN in Medical  Time Series
Multi-Scale CNN in Medical Time Series

Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection

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Prototype, Research 
& Case Studies

Real-world example of prototyping, researching, and bringing AI into practical healthcare application.

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CHIVID Case
CHIVID

Covid home-isolation application, integrated with PACMAN to help patient improve self-report ease and accuracy.

SensAI Prototype
SensAI

Wearable device for health monitoring

OCTAve Research
OCTAve

Optical Coherence Tomography Angiography Vessel Segmentation with Weakly-Supervised Learning

CB-AI Prototype
CB-AI

Assistive AI for Centroblast Cell Counting and Detection from Whole-slide Image

Need more information?

Get in touch with Heaith team to explore your idea

Our Expertise

Our deep understanding and experiences to help you tackle medical artificial intelligence problems

AI in Signal Processing

AI in Signal Processing

We do research and practical application in signal processing field. From capturing quality signal data to using AI and ML to enriched medical signal processing landscape.

Prediction Model

Prediction Model

With years of experience in machine learning techniques like deep learning, XGBoost, and Random Forest to develop prediction models for medical conditions.

Medical Imaging

Medical Imaging

One of our core competency is research, development, adapt and refine image analysis techniques to work with medical imaging such as MRI, CT, X-Ray, and digital pathology.

Alliances & Partners
Medensy

Medensy