AI-Analysis-Assistant

Use case: The AI-Analysis-Assistant

Model description: The AI-Analysis-Assistant

Diagram outlining the processing steps of the Analysis Assistant:

A PDF document is generated containing

App Files

Application executable: Media: AI-Analysis-Assistant.zip

Reference file: Media: Analysis-Schema.zip

Reference file: Media: openFDA device_search_fields.xlsx

Settings.txt

CONFIG:OpenFDA-Vertex-V1.0 // identifies schema version (readonly)

https_url1: // openFDA api for source data

limit1: // limit of query results

report_title: // title of output report

data1_fields: // data fields to be analyzed in MDR query results

KEYWORD1-SEARCH: // general keyword search terms (matched in any field)

SEARCH1-FIELDS:SEARCH1-TERMS // query search fields and terms, see openFDA device_search_fields.xlsx for full details of searchable fields

date_received: // MAUDE example field

device.device_report_product_code: // MAUDE example field

SORT1-FIELD:SORT1-TERM // query results sorting date_received:desc

COUNT1-FIELD:COUNT1-TERM // query count field/term

AI-ProblemSummaryPrompt: // Prompt that summarizes the product problem

AI-CountSummaryPrompt: // Prompt that counts the instances of items

AI-AnalysisPrompt: // Prompt that analyzes the MDR data to identify trends and patterns in adverse event occurrence

AI-ReportSummaryPrompt: // Prompt that summarizes the information collected from the MDR records

AI-WordsPerReport: // Number of words in each intermediate report (recommended: 1500, range: 100-5000)

AI-ModelTemperature: // LLM Temperature index (recommended: 0.05, range: 0..1f)

AI-ModelTopP: // LLM TOP_P index (recommended: 0.4, range: 0..1f)

AI-ModelTopK: // LLM TOP_K number of words for next word prediction (recommended: 10, range: 1-128)

AI-ModelMaxOutputTokens: // LLM maximum output words (range: 1-2048)

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See the sample files page for example settings and reports.

Sample Files: AI-Analysis-Assistant