DeCloak Intelligences to showcase AI-powered privacy healthcare system at NVIDIA GTC 2025

As hospitals and medical institutions increasingly rely on artificial intelligence to streamline operations, concerns over patient privacy have grown. DeCloak Intelligences, a subsidiary of Etron Technology, is addressing this challenge by integrating AI-powered de-identification into medical imaging and patient monitoring. The company is set to present its AI-aided Privacy Agent (AipA) Healthcare System at NVIDIA GTC 2025, a premier AI and high-performance computing event in San Jose, California, from March 17 to 21.

The AipA Healthcare System, developed in collaboration with the Hsin-Chu Branch of National Taiwan University Hospital (NTUH), offers an advanced solution for processing medical images while safeguarding personal data. By employing privacy-preserving AI, hospitals can conduct critical analyses without exposing sensitive information. The system ensures compliance with global regulations such as the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and Taiwan’s Personal Information Protection Act.

What Makes DeCloak’s AI-Powered De-Identification Technology Unique?

AI-driven medical innovations have raised ethical and security concerns, particularly regarding the protection of personal health information (PHI). Traditional anonymization methods often compromise data accuracy, limiting their usefulness in big data analysis. DeCloak’s AI-powered de-identification overcomes this challenge by allowing real-time processing of patient images without losing analytical value.

Unlike conventional encryption techniques, DeCloak’s approach enables hospitals to analyze de-identified medical data while ensuring that facial and biometric details remain untraceable. This technology has been deployed at NTUH Hsin-Chu Branch’s Zhubei Campus, where it is used in public areas and demonstration wards to track patient movement, prevent medical violence, and detect critical events such as falls or distress signals.

By integrating deep neural networks (DNN) and vision-language models (VLM), the system can recognize emergencies in real-time while adhering to stringent data privacy regulations. These capabilities demonstrate the growing role of AI-powered de-identification in protecting medical image privacy without compromising hospital efficiency.

How Does The AipA Healthcare System Improve Hospital Safety?

Ensuring patient safety while maintaining data privacy has long been a challenge in the healthcare industry. The AipA Healthcare System addresses this by providing real-time event detection that enhances hospital security. In addition to identity verification and patient tracking, the system uses AI-powered image recognition to detect falls, aggressive behavior, and medical distress.

In recent years, hospitals worldwide have faced rising incidents of medical violence, where healthcare workers encounter physical and verbal threats from distressed patients or their families. The implementation of AI-powered privacy monitoring can help mitigate such risks by providing early warning systems that alert staff to potential security concerns.

Beyond hospital safety, DeCloak’s AI system contributes to broader applications in smart healthcare innovation, enabling seamless integration with electronic health records (EHRs) and other digital medical solutions. By leveraging AI-powered de-identification, hospitals can maintain medical image privacy while extracting valuable insights for clinical decision-making.

How Does DeCloak’s AI Compare To Other Privacy Solutions?

While AI-driven privacy protection is gaining traction, not all solutions offer the same level of data integrity and regulatory compliance. DeCloak’s AI-powered de-identification stands out due to its ability to preserve high data accuracy while ensuring that sensitive information remains anonymized.

Many traditional privacy solutions rely on encryption or manual de-identification, both of which present challenges. Encryption methods can limit data usability, making it difficult for AI models to conduct large-scale medical analyses. Manual de-identification, on the other hand, is time-consuming and error-prone, leading to potential data leaks or inaccuracies.

DeCloak’s patented approach utilizes differential privacy models, which ensure that patient data remains securely anonymized while allowing for AI-driven analysis. This balance between data utility and privacy protection positions DeCloak as a leader in privacy-preserving AI for the healthcare industry.

What Industry Impact Can Be Expected From DeCloak’s AI Innovations?

DeCloak’s advancements in AI-powered de-identification have already gained significant industry recognition. The company’s previous solutions, including the DeCloakVision surveillance system and DeCloakFace facial recognition technology, were showcased at CES 2025, where they received strong interest from investors, healthcare providers, and technology leaders.

Following its success at CES, DeCloak is now expanding its presence at NVIDIA GTC 2025, a key event in the AI and semiconductor industry. The company’s participation underscores Taiwan’s growing influence in smart healthcare technology, as the nation continues to develop AI-driven privacy solutions for medical applications.

As hospitals worldwide face mounting pressure to adopt privacy-preserving AI, DeCloak’s AipA Healthcare System is well-positioned to become a standard in medical data security. By combining AI-powered de-identification with cutting-edge event detection, the company is setting a new benchmark for smart hospital technology.

What’s Next For DeCloak In The Smart Healthcare Market?

With global demand for AI-driven medical privacy solutions on the rise, DeCloak is poised for further expansion in healthcare AI applications. The integration of AI-powered de-identification into hospital workflows represents a major step forward in balancing data privacy with operational efficiency.

As the healthcare industry continues to embrace AI-powered privacy monitoring, DeCloak’s AipA Healthcare System is expected to drive wider adoption across hospitals, research institutions, and medical AI platforms. By advancing its AI de-identification technology, the company aims to further solidify its position as a leader in privacy-enhancing AI for smart healthcare innovation.

With growing interest from investors and industry leaders, DeCloak’s showcase at NVIDIA GTC 2025 signals a pivotal moment in the evolution of medical data privacy. The company’s focus on balancing security with AI-driven efficiency marks a crucial step in shaping the future of AI-powered healthcare.