elisaterumi-ai

Searches and summarizes the latest AI news in English from selected sources. Removes duplicates and categorizes the topics.

Busca e resume as últimas notícias de IA em português a partir de fontes selecionadas. Remove duplicatas e categoriza os tópicos.

Generates standardized and meaningful commit messages following best practices. Use when writing or improving commit messages.

Reviews pull requests for code quality, readability, security, and best practices. Use when analyzing code changes or reviewing a PR.

Structures product plans and feature roadmaps. Use when planning products.

Analyzes financial data and generates insights. Use when working with financial reports.

Removes sensitive data from clinical text while preserving meaning. Use for healthcare data.

Performs structured research and synthesizes information. Use when researching topics.

Classifies clinical text into predefined categories such as severity, urgency, or clinical type based on patient information. Use when assigning labels for triage, prioritization, or categorization of medical cases.

Extracts and organizes clinical events into a chronological timeline based on patient records or medical notes. Use when reconstructing the sequence of symptoms, diagnoses, treatments, or hospital events.

Converts unstructured clinical text into structured JSON by extracting key medical information such as symptoms, diagnoses, medications, procedures, and temporal data. Use when transforming clinical notes into machine-readable format.

Generates structured clinical reports (e.g., discharge summaries, medical reports, or clinical notes) based on patient data. Use when transforming clinical information into clear, standardized medical documentation.

Answers questions based strictly on clinical text, such as patient records or medical notes. Use when extracting specific information from clinical documents in a reliable and grounded manner.

Assesses patient risk level (e.g., low, medium, high) based on clinical information such as symptoms, history, and findings. Use when evaluating potential severity, complications, or need for prioritization in clinical contexts.

Maps clinical text to standardized diagnosis codes (e.g., ICD-10) based on explicitly mentioned conditions. Use when extracting or assigning diagnostic codes from medical records, clinical notes, or patient summaries.

Generates possible diagnostic hypotheses based on clinical text, including symptoms, findings, and test results. Use when analyzing patient data to assist clinical reasoning and suggest differential diagnoses.