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AI in Medicine and Imaging - Stanford Symposium 2020
Through the AIMI Symposium we hope to address gaps and barriers in the field and catalyze more evidence-based solutions to improve health for all.
health medicine medical-imaging stanford
Deep Learning Techniques for NLP in Healthcare
A talk discussing the recent advancements of deep learning to facilitate the adaption of NLP in the healthcare domain.
health natural-language-processing deep-learning video
Q-Aid
A comprehensive healthcare conversational agent powered by Visual QA and segmentation models.
question-answering health pytorch visual-question-answering
BERTology Meets Biology
Interpreting Attention in Protein Language Models.
bert healthcare biology health
MT-Clinical BERT
Scaling Clinical Information Extraction with Multitask Learning
health multi-task-learning information-extraction clinical-information-extraction
Deep Learning with Electronic Health Record (EHR) Systems
A comprehensive look at recent machine learning advancements in health.
health deep-learning ehr tutorial
Stochastic Segmentation Networks
An efficient probabilistic method for modelling aleatoric uncertainty with any image segmentation network architecture.
segmentation health medical-imaging mri
ProteinGCN: Protein model quality assessment using GCNs
Source code for the paper: ProteinGCN: Protein model quality assessment using Graph Convolutional Networks.
protein-model-quality-estimation graph-convolutional-networks graph-neural-networks pytorch
Sparkle: Combating Medication Non-adherence with ML
Introducing Sparkle ✨: a multi-platform medication monitoring system designed to promote medication adherence for ordinary people.
health medicine gradient-boosting code
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