Yating Intelligence Debuts at ADI DEMO DAY, Showcasing “Four Core Healthcare Solutions” with Practical Implementation Becoming the Event’s Highlight

Validated across multiple benchmark hospitals in Taiwan! Pre-loaded with diverse workflows and a fully on-premises architecture to enable rapid smart healthcare deployment.

[Taipei] Guided by the Ministry of Digital Affairs (MODA), commissioned by the Administration for Digital Industries (ADI), and organized by the Digital Transformation Institute of the Institute for Information Industry (III DTI), the “2026 ADI DEMO DAY: Sovereign AI Empowerment — Building Trustworthy, Controllable Smart Healthcare AI” grandly took place on September 3 at the NTUH International Convention Center. Domestic AI pioneer Yating Intelligence was invited to exhibit alongside leading healthcare AI innovators—including Taiwan Health Network, Taiwan Medical Imaging, Ever Fortune.AI, Iris Technology, Mirage Launch, Jubo Health Technologies, and ebm Technologies—as well as major system integrators (SIs) including SecuFirst, SYSCOM Group, and InfiniCloud, comprehensively demonstrating critical breakthroughs in sovereign AI for smart healthcare.

National-Level Objective Benchmarks Back High-Trust AI Built for Taiwan’s Healthcare Settings

According to benchmark results recently released by the Ministry of Digital Affairs and the AI Evaluation Center (AIEC), Yating Intelligence’s flagship model, Yating-FedGPT, ranked first in Taiwan across key metrics evaluating Taiwanese values, local language nuances, and social comprehension. Bolstered by this policy momentum and objective technical certification, Yating Intelligence’s booth drew numerous hospital delegations eager to explore how this locally tuned AI technology can be securely and efficiently deployed on the clinical frontlines.

Targeting Healthcare Institutions’ Core Needs: Beyond Just “An AI”—Focusing on “Interpretability, Controllability, and Reliability”

At the event, Yating Intelligence highlighted that healthcare environments demand strict patient privacy standards and regulatory compliance. What hospitals truly require is not an opaque cloud-based black box, but highly transparent and controllable productivity tools. Yating-FedGPT delivers three core on-premises advantages:

• 100% Data Ownership: Sensitive medical records and health data are processed strictly on-premise. By adhering to “no data to the cloud, zero leakage of sensitive assets,” cloud transmission risks are eliminated at the source.

• Long-Term Cost Efficiency: Flexible perpetual licensing provides transparent, controllable deployment costs, removing the recurring overhead of usage-based subscriptions.

• All-in-One On-Premises Integration: Delivers “one device, multiple uses” with pre-loaded, standardized workflows. Clinical departments and administrative units can rapidly activate specific capabilities, significantly lowering adoption barriers and engineering overhead.

  

Live Demos Across Four Core Scenarios: Standard Pre-loaded Workflows for Rapid, Effortless Deployment

Demonstrating practical execution from dialogue to automated tasks, Yating Intelligence showcased live operations of the Yating-FedGPT Smart Healthcare Platform across four core scenarios:

• Smart Triage System: Uses natural language understanding to guide outpatient triage, accurately directing patients to the appropriate clinical department.

• Smart ICD Coding: Leverages deep semantic analysis to cross-reference medical records and assist with precise ICD diagnostic coding recommendations, accelerating insurance claims.

• AI Nursing Handoff Assistant: Consolidates complex care data and clinical notes with a single click to generate standardized handoff summaries, drastically reducing documentation burdens for frontline staff.

• AI Smart Patient Education System: Automatically generates tailored, easy-to-understand educational materials based on individual patient conditions and clinical needs.

Beyond these four core scenarios, the platform ships on hardware pre-configured with multiple specialized clinical workflows, allowing hospitals to deploy rapidly out of the box without the heavy burden of training models or custom development from scratch.

Proven Deployments Across Benchmark Hospitals: Deepening Impact on the Clinical Frontline

Yating-FedGPT has been adopted and practically deployed in several benchmark medical institutions across Taiwan, including National Taiwan University Hospital, Hualien Tzu Chi Hospital, Cheng Hsin General Hospital, En Chu Kong Hospital, Armed Forces Medical Service hospitals (Taoyuan, Taichung, and Beitou Branch of Tri-Service General Hospital), Taipei Veterans General Hospital Yuanshan Branch, and Cheng Ching Hospital.

The platform provides tangible benefits across clinical, nursing, and administrative operations. It fully supports over ten specialized workflows, including medical image recognition, clinical reporting and recommendations, smart nursing handoffs, nursing documentation, admission summaries, patient education, ICD coding assistance, medical record summarization, meeting minute assistants, and medical literature and regulatory knowledge retrieval.

Joining Hands with Ecosystem Partners to Bridge the Last Mile of Smart Healthcare

Cheen Liao of Yating Intelligence stated that moving forward, the company will continue collaborating with hardware and system integration partners to package nationally evaluated model capabilities into rapidly deployable on-premises hardware-software integrated solutions, assisting Taiwan’s healthcare institutions at all levels in building dedicated, autonomous, and controllable local AI brains.

(Data sources: Ministry of Digital Affairs / AIEC Language Model Benchmark Data; 2026 ADI DEMO DAY Official Event Information)