Transformer-based pretrained language models (T-PTLMs) have achieved great success in
almost every NLP task. The evolution of these models started with GPT and BERT. These …

The presence of personally identifiable information (PII) in natural language portions of
electronic health records (EHRs) constrains their broad reuse. Despite continuous improvements …

Transformer-based pretrained language models (PLMs) have started a new era in modern
natural language processing (NLP). These models combine the power of transformers, …

Background As the coronavirus disease 2019 (COVID-19) vaccination campaign unfolds, it
is important to continuously assess the real-world safety of Food and Drug Administration (…

The recent explosion of biomedical knowledge presents both a major opportunity and challenge
for scientists tackling complex problems in healthcare. Here we present an approach for …

The automated analysis of medical time series, such as the electrocardiogram (ECG),
electroencephalogram (EEG), pulse oximetry, etc, has the potential to serve as a valuable tool for …

The natural language portions of an electronic health record (EHR) communicate critical
information about disease and treatment progression. However, the presence of personally …

… Reid McMurry; Patrick J Lenehan; Samir Awasthi; Eli Silvert; Arjun Puranik; Colin
Pawlowski; AJ Venkatakrishnan; Praveen Anand; Vineet Agarwal; John C OHoro; Gregory J …

… Jiho Park1, Agustin Lopez Marquez1, Arjun Puranik1, Ajit Rajasekharan1, Murali
Aravamudan1, …

The growing prevalence of AI in industry and the dominance of a handful of model classes
have contributed to a community-wide shift toward more data-centric AI. As an AI-driven …