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Found 3 papers, 3 papers with code
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records
This paper describes PULSAR, our system submission at the ImageClef 2023 MediQA-Sum task on summarising patient-doctor dialogues into clinical records.
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models
Medical progress notes play a crucial role in documenting a patient's hospital journey, including his or her condition, treatment plan, and any updates for healthcare providers.
Perturbated Gradients Updating within Unit Space for Deep Learning
In deep learning, optimization plays a vital role.
Ranked #5 on
Image Classification
on Tiny ImageNet Classification
(using extra training data)
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