Advanced AI-Powered Medical Imaging Solution for ENT Clinical Environments
Over the past few decades, the healthcare sector has adopted software solutions for managing patient records and medical imaging, significantly improving diagnostic processes. More recently, the integration of artificial intelligence (AI) into medical imaging has enhanced the identification of abnormalities, particularly through deep learning (DL) models.
This has opened new possibilities for accurate and efficient diagnostics in various medical fields. One such field is the Ear, Nose, and Throat (E.N.T.) domain, which handles a wide range of conditions affecting these areas.
Specializes in diagnosing and treating conditions affecting the ear, including hearing loss, ear infections, balance disorders, tinnitus, and congenital disorders.
Focuses on nasal and sinus conditions including sinusitis, allergies, polyps, deviated septum, and other disorders affecting breathing and smell.
Addresses throat-related issues including voice disorders, swallowing difficulties, tonsillitis, pharyngitis, and detection of foreign objects.
Artificial Intelligence is revolutionizing ENT diagnostics through:
Enhanced image analysis for detecting abnormalities in medical scans
Automated classification of ENT conditions with high accuracy
Reduced diagnostic time and improved patient outcomes
Deep Learning models are particularly effective for:
Analyzing complex patterns in medical images that may be missed by human eyes
Providing decision support for clinicians in challenging cases
Enabling early detection of conditions for better treatment outcomes
Animal bones (as food), metallic objects (safety pins, needles), and biomedical foreign objects are common foreign objects that can be identified in the throat area.
Foreign objects can be identified using lateral neck X-ray radiographs.
Sinusitis is the inflammation of the sinus tissue, caused by infections or allergies.
It causes headaches, thick nasal mucus, a plugged nose, and facial pain.
Cholesteatoma is a destructive and expanding growth of keratinizing squamous epithelium in the middle ear and/or mastoid process.
Destroys middle ear bones (ossicles) and can grow through the skull base into the brain. Can be identified using otoscopic images.
Pharyngitis is an inflammation of the pharynx, often caused by viral or bacterial infections.
Leading to symptoms like sore throat, difficulty swallowing, and swollen lymph nodes. High-resolution images of the throat are obtained to visualize inflammation, redness, and swelling.
In existing research, there was no consideration for creating comprehensive software solutions.
Existing research was somewhat outdated. There are new deep learning technologies that can be used for this line of work.
Different types of models or state-of-the-art models were not considered in previous studies.
How to create a Web/Mobile based software solution to be used in E.N.T clinical environment which can be used for identifying medical conditions from certain medical images?
The system architecture diagram shows the overall design of the proposed medical imaging application, which includes four sub-modules for detecting and diagnosing Cholesteatoma, Sinusitis, Foreign Objects in the throat, and Pharyngitis.
It has two front-end interfaces: a web app built with NextJS and a mobile app built with Flutter. These allow doctors and radiologists to upload medical images, view reports, and access patient data.
NodeJS-based REST API with Flask server for deep learning analysis
CNN models including ResNet50, VGG16, InceptionV3, and YOLO
Web and mobile interfaces for comprehensive accessibility
Discussion on research Domain & Scope
Initial research proposal and literature review
System design and initial implementation
90% Completion Of The Project
Final Report Submission
Complete system demonstration and evaluation
Initial research and problem identification. Team formation and project scope definition.
Demonstrating the Project Proposal
Proposal Draft Submission
Presenting the 50% Progress of the Solution
Submitting the Github Repo
Submitting the Demonstration Video
Demonstrating 90% Completed Project
Submitting the Research Paper
Submitting the Final Reports for Supervisor Evaluation
Final Presentation & Viva Session with Finalized Product presentation
Demonstration of Static website with Project details
Forum on Submitted Research Papers
E.N.T Consultant
Medical Advisor
Explore our journey through these visual highlights captured during our field research and clinical observations.
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