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Found 8 papers, 1 papers with code
Towards Automating Medical Scribing : Clinic Visit Dialogue2Note Sentence Alignment and Snippet Summarization
Medical conversations from patient visits are routinely summarized into clinical notes for documentation of clinical care.
ACI-BENCH: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation
Here we present the Ambient Clinical Intelligence Benchmark (ACI-BENCH) corpus, the largest dataset to date tackling the problem of AI-assisted note generation from visit dialogue.
An Investigation of Evaluation Metrics for Automated Medical Note Generation
To study the correlation between the automatic metrics and manual judgments, we evaluate automatic notes/summaries by comparing the system and reference facts and computing the factual correctness, and the hallucination and omission rates for critical medical facts.
Explicit and Implicit Semantic Ranking Framework
The core challenge in numerous real-world applications is to match an inquiry to the best document from a mutable and finite set of candidates.
Alignment Annotation for Clinic Visit Dialogue to Clinical Note Sentence Language Generation
Despite advances in natural language processing, automating clinical note generation from a clinic visit conversation is a largely unexplored area of research.
Automatic rubric-based content grading for clinical notes
Clinical notes provide important documentation critical to medical care, as well as billing and legal needs.
Annotation of pain and anesthesia events for surgery-related processes and outcomes extraction
Pain and anesthesia information are crucial elements to identifying surgery-related processes and outcomes.
