AI use case

Improving patient trial screening

by
Paradigm
Context

Paradigm uses OpenAI’s GPT-4 API to evaluate clinical trial data sets, significantly improving the speed, accuracy, and cost of patient screening. By replacing traditional models with GPT-4, Paradigm achieved a 90% reduction in clinician time spent on model validation and a 10% increase in accuracy. This allows faster, more equitable access to clinical trials, especially for underserved patients with unstructured medical data.

Results

90% reduction in clinician time for model validation; 10% increase in accuracy.

Results not reported in the source
Industry
Healthcare
Region
Global
Published
April 15, 2024
Agent type
Data Agents
AI provider
OpenAI
Models/tools
Not disclosed
ICE score
360
The ICE framework in this database provides a quick way to assess the feasibility and potential impact of AI use cases, with higher scores signaling more actionable opportunities.

Impact: Potential benefits to the business.

Confidence: Likelihood of achieving expected results.

Ease: Simplicity of implementation in terms of resources and time.

ICE Score: Calculated by multiplying the component scores.

Note:
Each score is AI-generated based on available data and should be viewed merely as a general guideline for deeper exploration of the use cases.
Impact
9
Confidence
8
Ease
5

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Promega

Healthcare
Data Agents
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Context

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Models/tools

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Neuromnia

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Context

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AI use cases in

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