Amalgam Rx, Inc., a recognized leader in AI-powered healthcare decision-making, has announced the publication of two peer-reviewed studies that validate its Medical-Grade AI framework. The company’s clinically governed approach to artificial intelligence focuses on safety, empathy, and measurable patient engagement, resulting in what it calls a new benchmark for digital health performance.
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The studies, featured in Artificial Intelligence and Applications and Human-Centric Computing, demonstrate that Amalgam’s multi-layered safety guardrails and personality-driven AI design achieved remarkable engagement levels. Users recorded an average of 35-minute sessions, 60 percent weekly retention, and engagement rates nearly twice as high as typical digital health solutions.
The first paper, titled “Taming Large Language Models for Healthcare – A Multi-Layered System,” was presented at the 26th International Conference on Artificial Intelligence (ICAI 2024) and later published in Artificial Intelligence and Applications. Chosen from 376 global submissions, the research outlines Amalgam’s clinical-grade safeguards designed for the safe and scalable use of large language models (LLMs) in regulated healthcare settings. The findings echo conclusions from Microsoft Research’s 2024 report, The Illusion of Readiness, which revealed how small testing changes caused accuracy in top AI models to drop from 83 to 52 percent, exposing significant reliability gaps in current LLM performance.
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Amalgam’s second publication, “Humanizing AI: Enhancing User Engagement in Health Applications with Personality-Driven AI Design,” explores how pairing advanced language models with emotionally intelligent design can improve engagement in digital health programs. Over several weeks, thousands of participants interacted with Amalgam’s conversational AI tool. Results showed an average 35-minute session time, with 10 percent of users exceeding one hour and 60 percent returning weekly—double the standard industry retention. The empathetic persona performed best, generating an average of 41-minute sessions and 67 percent retention, proving that personality and empathy play a vital role in user interaction.
While AI has revolutionized multiple industries, the company emphasized that healthcare requires far stricter oversight. Most existing models self-regulate internally, which Amalgam believes is inadequate when dealing with patient safety. Its framework, built as a layer external to the model, allows for real-time monitoring and governance to prevent unsafe or misleading outputs. These structured safeguards are designed not just to protect users but also to improve outcomes by encouraging consistent engagement that can lead to better medication adherence and stronger patient support.
Bharath Sudharsan, Chief Data Scientist and Head of AI at Amalgam, explained that the company’s mission is to bring order and reliability to AI’s role in healthcare. He said that without proper oversight, AI can create confusion rather than clarity. According to him, Amalgam’s system goes far beyond basic safety filters, allowing pharmaceutical partners to deliver tools that are safe, empathetic, and clinically sound.
Ryan Sysko, Chief Executive Officer of Amalgam Rx, added that innovation must always be grounded in responsibility. He stated that while Amalgam continues to push the boundaries of digital health technology, its strong clinical and regulatory foundation ensures patient safety remains the priority. Sysko emphasized that Amalgam’s safety guardrails not only contain potential risks but also unlock AI’s full potential by enabling scalable, meaningful digital companion experiences that enhance patient relationships.
Amalgam Rx’s findings mark a significant step toward establishing trusted, safe, and highly engaging AI systems in healthcare. With its Medical-Grade AI framework, the company is redefining how technology can support patients, clinicians, and life science organizations by combining scientific rigor with human empathy.
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Source- businesswire
