Revolutionizing healthcare in remote and underserved regions is KAI’s mission. Our cutting-edge Healthtech AI solutions are designed to deliver faster, more accurate, and more accessible medical care where it’s needed most – from the heart of Fiji to communities worldwide.
We empower healthcare providers with a comprehensive suite of digital and AI-driven tools, ensuring quality care isn’t a privilege, but a fundamental right for every community:
- Digital Health Infrastructure: We pioneer the digitalization of medical records, creating secure, unified patient histories that streamline access and improve continuity of care, especially vital for regions like Fiji.
- Integrated Patient Management App: Our intuitive mobile applications bring healthcare to your fingertips, enabling seamless appointment scheduling, efficient patient monitoring, and streamlined prescription handling, significantly reducing administrative burdens.
- AI-Powered Mental Health Support: Provide accessible, confidential support and early intervention through AI-driven platforms that can monitor well-being, offer guidance, and connect individuals with professional help.
- Early Intervention for ASD in Kids: Through gamified apps, we offer a playful yet powerful approach to early Autism Spectrum Disorder detection. Our solutions leverage behind-the-scenes multimodal analysis of a child’s attention span, sentiment, and audio cues to provide crucial insights for timely intervention and support.
- Advanced AI-Driven Diagnostics: Leverage sophisticated AI for earlier and more accurate detection of health issues, including enhanced capabilities in areas like digital pathology for cancer diagnostics.
- Real-Time Patient Monitoring: Keep a vigilant eye on patient well-being with continuous monitoring solutions, complemented by innovative approaches like mental health monitoring through social media analysis.
- Community Health & Drug Awareness: Implement geo-location based tracking for public health initiatives, such as identifying hotspots of drug activity (e.g., meth in Fiji), enabling targeted awareness campaigns and interventions.
- Optimized Resource Allocation: Utilize AI to predict hospital length of stay and other operational metrics, ensuring healthcare resources are managed efficiently and effectively.
KAI’s innovations are not just theoretical; they are directly informed by groundbreaking research in AI and healthcare, led by experts like Dr. Bali from A*STAR’s Centre for Frontier AI Research (CFAR). His work ensures our solutions are not only cutting-edge but also highly scalable, ethical, and perfectly suited for resource-constrained settings.
Explore KAI’s Foundational AI-Healthcare Research:
- Digital pathology, deep learning, and cancer: a narrative review
Published in Translational Cancer Research, 2024. This review discusses how deep learning enhances cancer diagnostics through digital pathology, a cornerstone of KAI’s diagnostic capabilities.
Link to publication - Exploring the Business Aspects of Digital Pathology, Deep Learning in Cancers
Published in Intelligence-Based Medicine, 2024. This paper examines the business implications of deploying deep learning in cancer diagnostics, ensuring KAI’s solutions are scalable and accessible in underserved regions.
Link to publication - Depression Detection Using BERT on Social Media Platforms
Published in 2024 IEEE International Conference on Artificial Intelligence in Engineering, 2024. This study uses BERT to detect depression via social media, enhancing KAI’s real-time patient monitoring for mental health.
Link to publication - Forecasting length of stay: Will it be clear or cloudy today?
Published in Intelligence-Based Medicine, 2022. This paper focuses on forecasting hospital length of stay using AI, supporting KAI’s efforts to optimize healthcare management and resource allocation in underserved communities.
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