How AI Is Used in AppExtractAI
AppExtractAI uses AI to extract data from applications. It does not evaluate, rank, score, or make any decisions about applicants.
AI does not make decisions about applicants
AppExtractAI is a data extraction tool, not a decision-making tool. It reads application documents and pulls out the specific information you request. It does not score applicants, generate rankings, make recommendations, or influence who gets interviewed or matched. Every evaluation decision remains entirely with the faculty reviewers.
What AI does
Reads application text
AI reads the text content of each PDF application document, the same text a faculty reviewer would read manually.
Extracts the data points you specify
You define exactly which fields to extract (for example, number of first-author publications with a PubMed ID, Step 2 score, clerkship grades). AI locates that information in the document and returns it in a structured format.
Follows your extraction rules
Each field includes a description that tells the AI what to look for and how to format the result. For publications, this includes specific verification criteria like requiring a PubMed ID and "Published" status. The AI follows these rules as written.
What AI does not do
- Does not score, rank, or rate applicants in any way
- Does not recommend which applicants to interview or match
- Does not compare applicants to each other
- Does not make subjective assessments about applicant quality
- Does not filter or exclude applicants from consideration
- Does not assign weights or importance to any data points
- Does not generate opinions, summaries, or evaluative commentary
An analogy
Think of AppExtractAI as a research assistant who reads a stack of applications and fills in a spreadsheet with the information you asked for: name, medical school, number of publications, Step 2 score, clerkship grades, and so on.
The research assistant does not tell you which applicants are strong or weak. They do not highlight favorites or flag concerns. They simply transcribe the requested data points from the documents into a consistent format so that you, the faculty reviewer, can efficiently review and evaluate the applicants yourself.
AppExtractAI works the same way, except it processes applications in seconds instead of hours.
Faculty remain the decision-makers
The extracted data is a starting point, not a conclusion. Faculty reviewers use the structured data to inform their own evaluation process, applying their professional judgment, institutional priorities, and holistic review criteria. AppExtractAI simply removes the manual data entry step so reviewers can spend their time on what matters: evaluating applicants thoughtfully.
Questions about how AI is used?
We are happy to discuss our approach in more detail. Contact us at mac.singer@appextractai.com