Factual correctness is often the limiting factor in practical applicatio...
In the past few years we have seen the meteoric appearance of dozens of
...
Medical conversations between patients and medical professionals have
im...
Identifying spans in medical texts that correspond to medical entities i...
We present MEDCOD, a Medically-Accurate, Emotive, Diverse, and Controlla...
Medical conversation summarization is integral in capturing information
...
We study the problem of medical symptoms recognition from patient text, ...
Understanding a medical conversation between a patient and a physician p...
The COVID-19 pandemic has magnified an already existing trend of people
...
People increasingly search online for answers to their medical questions...
A third of adults in America use the Internet to diagnose medical concer...
Generative seq2seq dialogue systems are trained to predict the next word...
The rate at which medical questions are asked online significantly excee...
Machine-learned diagnosis models have shown promise as medical aides but...
Generative seq2seq dialogue systems are trained to predict the next word...
We consider the problem of image classification for the purpose of aidin...
Expert diagnostic support systems have been extensively studied. The
pra...