Enhancing COVID-19 diagnoses with next-level AI-generated medical reports
Our researchers have helped to develop an advanced medical report generation method that harnesses AI to enhance COVID-19 diagnoses.
Together with Sun Yat-sen University and The First Affiliated Hospital of Harbin Medical University, our researchers have developed an advanced, AI-driven medical report generation method. This will accurately read lung CT images and help doctors better diagnose COVID-19.
The coronavirus has infected more than seven million people globally. In order to prevent the spread of the infection, positive cases must be identified quickly – and patients treated appropriately.
In addition to Reverse Transcription Polymerase Chain Reaction tests, lung CT scan analysis is another essential testing method.
‘The number of confirmed cases continues to outweigh the number of experienced medical personnel needed to analyse lung CT scans. An automated report generation tool allows for more accurate and timely COVID-19 diagnoses.’ explains Monash Faculty of IT Senior Research Fellow, Dr Xiaojun Chang.
The researchers in this project are currently using AI technology to examine medical images and provide a comprehensive analysis. This complex function, called ‘image captioning’, requires the AI model to bridge visual and linguistic information to deliver accurate analyses.
In medical report generation specifically, the model needs an increased capacity to understand the medical domain and coherently describe images using appropriate terminology.
“Our research has formulated the first public COVID-19 CT report dataset and proposed a novel deep learning model which demonstrates how an AI-generated method is capable of producing accurate, robust medical reports.” said Monash Faculty of IT PhD student, Mingjie Li.
Rather than simply informing a patient that they may be diagnosed with COVID-19, a healthcare professional can use the AI-generated report to offer a complete picture of what the diagnosis might look like – taking into account additional factors such as fever, coughing or breathing difficulties, which are not identified in a medical image alone.
These comprehensive reports enhance the credibility of diagnoses and provide patients with accurate information about their health.