Formally Verifying and Explaining Sepsis Treatment Policies with COOL-MC | ScienceToStartup | ScienceToStartup

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References (74)

[1]

Safe reinforcement learning via adaptive robust model predictive shielding

2026Hilde Gerold, Sergio Lucia

[2]

Towards trustworthy artificial intelligence for decision-making: A lifecycle perspective on knowledge- and data-driven artificial intelligence systems

2026Emiel Miedema, S. Waschull et al.

[3]

Exploring Time-Step Size in Reinforcement Learning for Sepsis Treatment

Founder's Pitch

"COOL-MC offers clinicians a tool to formally verify and explain sepsis treatment policies using a model checker integrated with explainability methods."

Healthcare AI•Score: 5•View PDF ↗

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Formally Verifying and Explaining Sepsis Treatment Policies with COOL-MC

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References (74)

Founder's Pitch

"COOL-MC offers clinicians a tool to formally verify and explain sepsis treatment policies using a model checker integrated with explainability methods."

Commercial Viability Breakdown

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Formally Verifying and Explaining Sepsis Treatment Policies with COOL-MC

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References (74)

Founder's Pitch

"COOL-MC offers clinicians a tool to formally verify and explain sepsis treatment policies using a model checker integrated with explainability methods."

Commercial Viability Breakdown

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