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)
See the sample files page for example settings and reports.