Heatmaps the ai assessed to make lung disease diagnoses. Credit: Picture sourced from data by covidx-as.
Artificial Intelligence (AI) Best friend a radiologist’s best friend, with resarchers training the technology to accurately diagnose pneumonia, Covid-19 and Other Lung days.
The New Study by Researchers from Charles Darwin University (CDU), United International University, and Australian Catholic University (ACU) Describes Developing and Training An Ai Modeel to Analyze Lung Ultrasound Videos And Diagnose Respiratory Diseases.
The study is Published in the journey Frontiers in Computer Science,
The model works by examining Each video Frame to find important features of the lungs and assessing the Order of the video frames to understand the patterns of the lungs over time.
The model then identifies Specific Patterns Different Lung Diseases and Based on This Information, Classifies The Ultrasound Into A Diagnosis Category Suchgory Such as Normal, Pneumonia, Eases.
Co-Author and CDU Adjunct Associate Professor Niusha Shafiabady Said the Model Had An Accuracy of 96.57%, with the Ai Analyses Verified by Medical Professionals.
“The model also uses ai techniques to show radiologists with it made certain decisions, Making IT Easier for them to Trust and Undrstand the Results,” Associate Professor Shafabady SAID.
The model uses explainable ai, a method which allows human users to understand and Trust the results created by machine learning algorithms.
“The explainability of the proposed model aims to increase the relief of this approach,” Associate Professor Shafiabady Said.
“The System Shows Doctors Why IT Made Certain Decisions Using Visuals Like Heatmaps. Ily.
“This Model Helps Doctor Diagnose Lung Diseases Quickly and Accurately, Supports Their Decision-Making, Saves Time, and Serves as a Valuable Training Tool.”
Associate Professor Shafiabady said if fed the approves data, the model could be trained to identify more diseases such as tuberculosis, Black Lung, Asthma, Cancer, Cancer, Cancer, Chronic Lung Disease, and Pillar osis.
The Study was LED by Researchers at United International University in Bangladesh, AlongSide CDU Researchers Dr. Asif Karim, Dr. Sami Azam, Dr. Kheng Cher Yeo, Professor Friso de Boer and Associate Professor Niusha Shafiabady, Who is also a Researcher at acu.
Potential Avenues for Research Include Training The Model to Assess Other Imaging, Such as CT Scans and X-Rays.
More information:
Arefin Ittesafun Abian Et Al Al, Automated Diagnosis of Respiratory Diseases from Lung Ultrasound Videos Ensuring Xai: Annovative Hybrid Model Approach, Frontiers in Computer Science (2024). Doi: 10.3389/fomp.2024.1438126
Citation: Researchers Train Ai To Diagnose Lung Diseases With 96.57% Accuracy (2025, January 24) RetrieVed 25 January 2025 From
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