Generating Medical Reports from Patient-Doctor Conversations Using Sequence-to-Sequence Models

WS 2020 Seppo EnarviMarilisa AmoiaMiguel Del-Agua TebaBrian DelaneyFrank DiehlStefan HahnKristina HarrisLiam McGrathYue PanJoel PintoLuca RubiniMiguel RuizGag SingheepFabian StemmerWeiyi SunPaul VozilaThomas LinRanjani Ramamurthy

We discuss automatic creation of medical reports from ASR-generated patient-doctor conversational transcripts using an end-to-end neural summarization approach. We explore both recurrent neural network (RNN) and Transformer-based sequence-to-sequence architectures for summarizing medical conversations... (read more)

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