research
∙
05/05/2023
Predicting COVID-19 and pneumonia complications from admission texts
In this paper we present a novel approach to risk assessment for patient...
share
research
∙
03/28/2023
Whole-body PET image denoising for reduced acquisition time
This paper evaluates the performance of supervised and unsupervised deep...
research
∙
06/02/2022
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization
The symptom checking systems inquire users for their symptoms and perfor...
research
∙
04/05/2022
Abstractive summarization of hospitalisation histories with transformer networks
In this paper we present a novel approach to abstractive summarization o...
research
∙
01/17/2022
RuMedBench: A Russian Medical Language Understanding Benchmark
The paper describes the open Russian medical language understanding benc...
research
∙
07/12/2021
Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough
The COVID-19 pandemic created a significant interest and demand for infe...
research
∙
06/21/2021
Patient Embeddings in Healthcare and Insurance Applications
The paper researches the problem of concept and patient representations ...
research
∙
05/25/2021
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning
Analysis of chest CT scans can be used in detecting parts of lungs that ...
research
∙
07/15/2020
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-based Neural Networks
In this paper we study the problem of predicting clinical diagnoses from...
research
∙
03/31/2020