Press Releases July 2, 2026 08:00 AM

Trust Stamp makes first LLM-focused AI Patent filing for Medical Diagnosis Assurance

Trust Stamp Files First AI Patent Focused on Medical Diagnostic Assurance Leveraging LLM Technology

By Leila Farooq
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IDAI

Trust Stamp has filed a U.S. provisional patent for a novel Medical Diagnostic Assurance System (MDAS) that utilizes large language models (LLMs) to enhance the reliability of medical diagnoses by reducing confirmation bias and hallucinations. The system aims to operate as a secure, self-contained solution protecting patient identities while assisting qualified practitioners through a consensus of three AI models that challenge or reinforce diagnoses. A pilot program is in negotiation with expectations for deployment by Q1 2027.

Trust Stamp makes first LLM-focused AI Patent filing for Medical Diagnosis Assurance
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Key Points

  • Trust Stamp's new provisional patent focuses on LLM-based technology to improve medical diagnosis reliability by mitigating biases and false data generation.
  • MDAS uses tokenization to protect patient privacy and operates independently to support qualified medical professionals, enhancing security and compliance in healthcare AI applications.
  • The company plans a pilot implementation of MDAS in early 2027, signaling progress in commercializing AI solutions for healthcare.
  • This innovation impacts healthcare technology, AI diagnostics, data privacy, and regulatory compliance sectors, potentially driving advances in medical AI tools and secure patient data management.

Atlanta, GA, July 02, 2026 (GLOBE NEWSWIRE) -- Trust Stamp (Nasdaq: IDAI) Gareth N. Genner, Chief Executive Officer of the Company commented, “Prior to this we had a total of twenty seven issued or allowed patents and seven patents pending, covering a range of proprietary technologies encompassing AI, Biometrics and cryptography. On June 15, 2026 we filed U.S. Provisional Patent Application No. 64/091,057 entitled: “Medical Diagnostic Assurance System” (“MDAS”) for an LLM-based technology designed to avoid critical issues in medical diagnosis including confirmation bias amplification, and hallucinations that could cite invented data sources.

"Sycophantic behavior can undermine the reliability of LLM outputs in any use case, but in medical diagnosis, the consequences can be catastrophic. MDAS is intended to operate as a self-contained sovereign system with tokenization of patient identities, thereby protecting patient records from third-party access, for use only by qualified medical practitioners. MDAS does not provide a primary diagnosis but, using a three-model consensus, challenges and/or reinforces the medical practitioner’s diagnosis using data flows that ensure that the model’s research is conducted blind to that original diagnosis.

We are currently negotiating a pilot program for MDAS and aim to have the technology live in Q1 of 2027.”

Inquiries:
Trust Stamp                                                   Email: [email protected]

About Trust Stamp

Trust Stamp is a global provider of AI-powered services for use in multiple sectors including banking and finance, regulatory compliance, government, healthcare, real estate, communications, and humanitarian services. Its technology empowers organizations via advanced solutions that reduce fraud, tokenize and secure data, securely authenticate users while protecting personal privacy, reduce friction in digital transactions, and increase operational efficiency, enabling customers to accelerate secure financial inclusion and reach and serve a broader base of users worldwide.

With team members from twenty-two nationalities in eight countries across North America, Europe, Asia, and Africa, Trust Stamp trades on the Nasdaq Capital Market (Nasdaq: IDAI).

Safe Harbor Statement: Caution Concerning Forward-Looking Remarks 

All statements in this release that are not based on historical fact are “forward-looking statements” including within the meaning of the Private Securities Litigation Reform Act of 1995 and the provisions of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. The information in this announcement may contain forward-looking statements and information related to, among other things, the company, its business plan and strategy, and its industry. These statements reflect management’s current views with respect to future events-based information currently available and are subject to risks and uncertainties that could cause the company’s actual results to differ materially from those contained in the forward-looking statements. Investors are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date on which they are made. The company does not undertake any obligation to revise or update these forward-looking statements to reflect events or circumstances after such date or to reflect the occurrence of unanticipated events.


Risks

  • The forward-looking statements indicate uncertainties around finalizing the pilot program and actual deployment timing of MDAS, which could delay benefits or commercialization.
  • Regulatory challenges and acceptance by the medical community could affect adoption and efficacy of the MDAS system, impacting returns on R&D.
  • The effectiveness of the AI technology in accurately supporting diagnosis while avoiding errors such as hallucinations or bias remains to be proven in real-world clinical settings, posing a technical risk.

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