Urging The Industry To Openly Share How AI Works-Before Trust Is Lost
Healthcare Tech Outlook

Urging The Industry To Openly Share How AI Works-Before Trust Is Lost

OAKLAND, Calif. – The adoption of Artificial Intelligence (AI) in Smart Hospitals has reached a pivotal moment. With technologies like computer vision poised to redefine patient monitoring, clinical workflows, and hospital operations, success now depends on a foundation of trust. LookDeep Health, a leader in Vision AI for hospital care, is calling on the industry to aggressively embrace transparency by publicly sharing how AI systems work, how they are tested, and how they perform in real-world environments. Without peer-reviewed evidence and open accountability, Smart Hospital AI risks stagnation, skepticism, and missed opportunities to enhance patient safety and operational efficiency.

According to LookDeep CEO Narinder Singh (Excerpt from Open Letter):

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“Transparency is not merely an option—it is an imperative. At LookDeep Health, we have set a benchmark by publishing what we believe to be the most transparent and detailed peer-reviewed study of Smart Hospital Vision AI deployments in hospitals. This comprehensive paper outlines our approach to model training, data challenges, architectural decisions, and performance in real-world environments.

Yet, we do not view this as a conclusion. Instead, it is an invitation. Our goal is to encourage the entire healthcare industry to push the boundaries of transparency further, setting even higher benchmarks for openness that will accelerate the adoption of AI solutions across the healthcare industry.”

LookDeep’s Collective Call to Action

Imagine a promising new drug being introduced without sharing the evidence gathered during its trials. Then imagine several similar drugs launching, each with varying—but undisclosed—evidence. 

This is the reality of AI in Smart Hospitals today. 

Transparency isn’t just a virtue; it’s the antidote to a fragmented and noisy market. Without it, even the best AI systems will face doubt, resistance, or outright rejection. If the healthcare industry doesn’t demand openness, we risk stalling progress where it’s needed most—inside hospitals.

We are at a critical juncture where our collective choices could determine how and when AI actually arrives in hospitals. The journey towards full transparency is complex and filled with technical, ethical, and operational challenges. We need market pressure to drive action so that government regulation does not clumsily step in to fill the void.

We call on key stakeholders to take action:

● CHIME and AVIA: As leaders in strategic Smart Hospital initiatives, mandate transparency. Encourage every vendor to publicly share how their AI works in peer-reviewed forums.

● Competitors and Peers: Go beyond our example. Challenge us and each other. Disclose methods, data handling practices, limitations, and real-world results. Transparency fosters trust and expands market potential for all.

A Shared Beginning

Organizations like the Peterson Center on Healthcare have already spotlighted the value of independent assessments in digital health. Their ongoing work validates concerns about the need for transparency and accountability in AI solutions.

In the rapidly evolving field of Smart Hospital AI, waiting for third-party reviews to retroactively validate what works is not enough. Like the rigorous evaluation processes applied to medical advances, AI must be held to high standards of evidence and openness. Without transparency, we risk losing credibility and stalling progress in acute care – and of government clumsily stepping in.

Early vaccines earned public trust through visible, rigorous trials. AI in healthcare must follow that example—not fall into the trap of bold claims unsupported by proof. Transparency isn’t just a virtue—it’s the foundation of trust and the catalyst for meaningful change in the healthcare industry.

Let us learn from history: openness builds trust, and trust drives innovation.

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