Established in 2020 Wednesday, April 17, 2024

AI-generated medical reports to offer accurate, timely diagnosis of COVID-19
AI-generated medical reports that offers accurate timely diagnosis of COVID-19.

MELBOURNE.- Researchers from Monash University, Sun Yat-sen University and The First Affiliated Hospital of Harbin Medical University have developed an advanced medical report generation method using AI technology. This will accurately read lung CT images and help diagnose COVID-19 cases.

In addition to the Reverse Transcription Polymerase Chain Reaction (RT-PCR) tests, lung CT scan analysis is another essential testing method for COVID-19 – which has infected more than seven million people globally. A key step in controlling the infection is to quickly identify positive cases and treat patients appropriately.

While the number of confirmed COVID-19 cases continues to outweigh the number of experienced medical personnel needed to diagnose lung CT scans, an automated report generation tool allows for more accurate and timely COVID-19 diagnoses,” explains Senior Research Fellow Dr Xiaojun Chang from the Faculty of Information Technology (IT), Monash University.

Image captioning is a form of AI technology which summarises visual information, such as images or videos, in an automatically generated description. This complex task requires the AI model to bridge visual and linguistic information to deliver accurate analyses.

In medical report generation, the AI model requires an increased capacity to understand the medical domain and describe medical images in a coherent way, covering appropriate terminologies.

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 and robust medical reports,” explains PhD student Mingjie Li from Monash University’s Faculty of IT.

Rather than simply notifying 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.

The comprehensive reports generated by this AI method enhances the credibility of the doctor's diagnosis and provides patients with accurate information relating to their health.

This research has wider clinical value as well as future applications across other diseases. While an AI-generated medical report will never eliminate the work of a healthcare professional, it can act as an effective tool to reduce the pressure experienced by doctors during COVID-19,” said Professor Anyuan Li, a radiologist from The First Affiliated Hospital of Harbin Medical University.

Findings of this research have been submitted to the thirty-fourth Annual Conference on Neural Information Processing Systems in December.

Today's News

June 20, 2020

EPFL researchers cut atom-sized patterns into 2D materials

Carefully, Yale labs stir to life across campus

Four Columbia professors named finalists for Blavatnik Award for Young Scientists

In China's vaccine race, shortage of monkeys and weekends

Microbes could 'help save Old Masters' and catch forgers

Scientists develop new method for detecting black hole mergers

Human activity on rivers outpaces, compounds effects of climate change

Study shows how Australia's burrowing frogs handle the heat

Blood test to monitor cancer up to ten times more sensitive than current methods

AI-generated medical reports to offer accurate, timely diagnosis of COVID-19

Redesigning hand sanitizer and donating 7,000 gallons to fight Covid-19

Homeless people are more likely to be put on ventilators for respiratory infections than non-homeless

Surprising signal in dark matter detector

A call for better governance of climate engineering technologies

Neurons can shift how they process information about motion

How a historic drought led to higher power costs and emissions

Plants can camouflage odours to avoid being eaten: study


Editor & Publisher: Jose Villarreal
Art Director: Juan José Sepúlveda Ramírez

Tell a Friend
Dear User, please complete the form below in order to recommend the ResearchNews newsletter to someone you know.
Please complete all fields marked *.
Sending Mail
Sending Successful