cacti ml
Clinical AI tools for extracting and processing medical records.
Description
cacti ml is an open-source suite of clinical AI software, models, and resources focused on making information in electronic medical records more accessible. It offers tools for semantically filtering, searching, and extracting data from medical records, supporting a range of clinical tasks and research applications.
With generalizable models for named entity recognition and practical packages like MedQA and clinisift, cacti ml serves as a foundation for further clinical AI research and development in healthcare settings.
Key Features
- MedQA: GPT-powered clinical reference tool for answering clinical questions with source references.
- clinisift: Multifunctional tool for processing clinical medical records.
- clinitokenizer: Sentence tokenizer optimized for clinical and medical text.
- bert-Clinical-NER: Named Entity Recognition model for extracting clinical entities such as problems, treatments, and tests.
- bert-Med-NER: Named Entity Recognition model for extracting medication details including name, dosage, duration, frequency, and reason.
- Clinical GPT-3 exploration: Analysis of GPT-3's performance on clinical NLP tasks.
- Sample Medical Notes: Collection of generated, publicly available medical notes for demonstrations.
Use Cases
- Searching and extracting information from electronic medical records
- Performing clinical named entity recognition for research
- Developing downstream clinical NLP applications
- Creating clinical question-answering systems
- Processing and structuring medical notes for analysis
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