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06/06/2023
Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue
Factual correctness is often the limiting factor in practical applicatio...
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05/10/2023
Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models
A medical provider's summary of a patient visit serves several critical ...
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04/27/2023
CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants
A wave of new task-based virtual assistants has been fueled by increasin...
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04/04/2023
Dialogue-Contextualized Re-ranking for Medical History-Taking
AI-driven medical history-taking is an important component in symptom ch...
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03/30/2023
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents
Large language models (LLMs) have emerged as valuable tools for many nat...
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10/06/2022
Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach
Medical conversations between patients and medical professionals have im...
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07/12/2022
OSLAT: Open Set Label Attention Transformer for Medical Entity Span Extraction
Identifying spans in medical texts that correspond to medical entities i...
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11/17/2021
MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System
We present MEDCOD, a Medically-Accurate, Emotive, Diverse, and Controlla...
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11/15/2021
Adding more data does not always help: A study in medical conversation summarization with PEGASUS
Medical conversation summarization is integral in capturing information ...
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11/12/2020
Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions
We study the problem of medical symptoms recognition from patient text, ...
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09/18/2020
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures
Understanding a medical conversation between a patient and a physician p...
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08/07/2020
COVID-19 in differential diagnosis of online symptom assessments
The COVID-19 pandemic has magnified an already existing trend of people ...
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08/04/2020
Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs
People increasingly search online for answers to their medical questions...
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12/11/2019
The accuracy vs. coverage trade-off in patient-facing diagnosis models
A third of adults in America use the Internet to diagnose medical concer...
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11/16/2019
Classification as Decoder: Trading Flexibility for Control in Medical Dialogue
Generative seq2seq dialogue systems are trained to predict the next word...
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10/09/2019
Domain-Relevant Embeddings for Medical Question Similarity
The rate at which medical questions are asked online significantly excee...
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10/07/2019
Open Set Medical Diagnosis
Machine-learned diagnosis models have shown promise as medical aides but...
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10/04/2019
Classification As Decoder: Trading Flexibility For Control In Neural Dialogue
Generative seq2seq dialogue systems are trained to predict the next word...
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11/07/2018
Prototypical Clustering Networks for Dermatological Disease Diagnosis
We consider the problem of image classification for the purpose of aidin...
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06/08/2018
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations
Many structured prediction problems (particularly in vision and language...
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04/21/2018
Learning from the experts: From expert systems to machine learned diagnosis models
Expert diagnostic support systems have been extensively studied. The pra...
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06/05/2017
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
We present a novel training framework for neural sequence models, partic...
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03/05/2017
LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation
We present LR-GAN: an adversarial image generation model which takes sce...
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01/29/2017