Search Results for author:
Found 5 papers, 0 papers with code
A general-purpose AI assistant embedded in an open-source radiology information system
This helps establish a partnership between the radiologist user and a user-specific AI model.
Two-step adversarial debiasing with partial learning -- medical image case-studies
The use of artificial intelligence (AI) in healthcare has become a very active research area in the last few years.
Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications
To test the performance of the two top models for CXR COVID-19 diagnosis on external datasets to assess model generalizability.
Multi-label natural language processing to identify diagnosis and procedure codes from MIMIC-III inpatient notes
In the United States, 25% or greater than 200 billion dollars of hospital spending accounts for administrative costs that involve services for medical coding and billing.
Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks
In this paper, we report the performance of a natural language processing model that can map clinical notes to medical codes, and predict final diagnosis from unstructured entries of history of present illness, symptoms at the time of admission, etc.
