Quickly identify diagnoses, treatment directives, contraindications, and conclusions in medical records and professional guidelines
In a healthcare setting, every decision needs to be based on accurate information. Medical records may include medical history, test results, imaging diagnoses, treatment progress, physician directives, and other related documents.
NKTg AI helps users recognize a document's structure before reading, so they can choose the right approach for each type of document.
After analysis, NKTg AI shows AMP = 72%, indicating the record focuses on treatment decisions and clinical actions.
Read the Core Content first, which usually contains:
Analysis result: DAMP = 69%, showing the document focuses on:
In this case, focus on reading the contraindications, indication conditions, warnings, and monitoring sections during treatment.
Analysis result: AMP = 50%, DAMP = 48% → STABLE state.
The document is built to standardize a professional procedure, with no dominant Core Content. Users should read step by step to ensure safety and professional quality.
NKTg AI does not make diagnoses, does not replace a doctor, and does not recommend treatment methods. Its value is helping users quickly access the necessary information in the original document:
In Healthcare, what matters isn't just accessing information quickly, but accessing the right content that supports a clinical decision. NKTg AI helps doctors and healthcare staff understand a document's structure from the start using the AMP, DAMP, and STABLE metrics, helping them choose the right way to read each type of document.