Pneumoconiosis is the lesions formed in the tissues by the accumulation of inorganic dust in the lungs
It is generally encountered in those who work continuously in dust-intensive industrial workplaces and is among the most common diseases known as occupational diseases
What are the Symptoms of Pneumoconiosis?
Symptoms of pneumoconiosis occur at a fairly late stage, usually starting with respiratory disorders
Over time, complaints of coughing, expectoration, chest tightness and shortness of breath begin to increase
However, tuberculosis, chronic obstructive pulmonary disease (COPD) and bronchitis may develop with the disease
In advanced diseases, it may cause lung failure
How is Pneumoconiosis Diagnosed?
The most prominent factor in pneumoconiosis is the continuous exposure of individuals to extremely dusty environments, and if adequate precautions are not taken, the risk of developing pneumoconiosis increases
The diagnosis of pneumoconiosis is made as a result of the findings obtained as a result of radiological scans
Early diagnosis of pneumoconiosis is very important, so that the further progression of the disease can be slowed or stopped with the measures to be taken
What is the Relationship between HSE.AI and Pneumoconiosis Diagnosis?
HSE.AI is a software solution that provides medical imaging support based on artificial intelligence methods
By combining advanced image scanning and artificial intelligence technology, it has a supporting role in the early detection of pneumoconiosis in PA Lung Radiography
It provides decision support in the diagnosis of pneumoconiosis in PA Lung Radiography by fully specialised medical doctors
HSE.AI The accuracy of the radiological imaging result is decided and approved by specialists
How HSE.AI Ensures Reliability
Artificial intelligence (AI) algorithms, especially deep learning, have made remarkable progress in image recognition tasks. Methods ranging from evolving neural networks to variable autoencoders have found numerous applications in the field of medical image analysis, moving the field forward at a rapid pace
Historically, doctors trained in the practice of radiology visually assessed medical images for disease detection, characterisation and monitoring
HSE.AI has been developed to automatically recognise complex patterns in imaging data and provide quantitative rather than qualitative assessments of radiographic features
HSE.AI scans a PA Lung Radiography image taken for the diagnosis of pneumoconiosis and enables the lesions detected on the image to be displayed by comparing them with models previously taught in an artificial intelligence environment with the contribution of expert doctors
This enables the most sensitive and difficult to visualise lesions to be visualised very quickly
After each new scan, the results reported by HSE.AI are again included in the detailed examination of our specialist doctors
The more image inspections, the more HSE.AI's learning ability improves and the lower the rate of missing scans in image scans
HSE.AI, What are the Advantages of Artificial Intelligence Assisted Medical Imaging?
The performance and speed of medical devices are improving day by day
Especially in the field of radiology, the number of films taken per unit time is many times more than the number of films that a specialist doctor will read in the same unit time
This means that radiology films take a very long time to read and report, as well as the risk that the doctor may not be able to examine the films in sufficient detail due to time pressures, HSE.AI minimises these risks
At the very least, it can at a fraction of a second, from among the thousands of films taken, identify the high-risk patients with the highest pathology and bring them to the attention of doctors
This prioritisation enables rapid sorting from the most risky disease to the least risky patient, minimising the possibility of doctors overlooking patients in the risky group due to various disadvantageous situations
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