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amianlp2022

website for AMIA NLP Pre-symposium

amianlp2023

amianlp2024

cleardashboard

ebaic

Website for The 1st International Workshop on Ethics and Bias of Artificial Intelligence in Clinical Applications (EBAIC)

healthprompt

Prompt Learning is a new paradigm in Natural Language Processing(NLP), which uses pre-trained language models to perform downstream tasks, avoiding fine tuning of a model. This zero-shot learning approach can be applied to healthcare applications, where there is limited availability of data. This projects aims to design prompt methodologies for downstream applications using PLMs, without the need for model training. This approach can change "Deep Learning" to "Deep Thinking" in Healthcare sector.

icl-minima

Code for the Paper "In-Context Learning Functions with Varying Number of Minima"

llm4cds

Synthetic patient datasets for the paper entitled "Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines"

llms-vote

Code for the Paper "Large Language Models Vote: Prompting for Rare Disease Identification"

pittnail.github.io

The official website for PittNAIL

pittupmcllm

Homepage for Pitt/UPMC genAI/LLM Interest Group

pyohnlp

NER with MedSpaCy

rare-disease-identification

Rare disease identification from free-text clinical notes with ontologies and weak supervision

snn-for-fsl

Code for the Paper "Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks: Algorithm Development and Validation Study"