April 11, 2022
5 minutes, 23 seconds
Most of us never think about our breathing; it’s just something we do. For example, research by Lung Foundation Australia shows that almost half of all Australians rarely or never think about their lung health. Despite this, almost two-thirds of Australians reported that they had experienced at least one lung-related health issue. People often assume that there are symptoms of aging or lack of fitness. Any problem that prevents the lungs from working properly is called lung disease – this may be lung circulation, lung tissue, or a disease of the airways. There are over 30 arts of lung disease, beginning from influenza and asthma to occupational lung disease and lung cancer. And don’t forget about COVID-19 pandemic!
Lung disease can’t discriminate and affects women, men, children, ex-smokers, smokers, and non-smokers. Improving outcomes, bettering treatment options, and saving lives are critical to getting an early diagnosis.
Symptoms of lung disease include weariness, coughing up mucus, coughing up blood, and chest pain. Often lung disease is diagnosed in its later stages, reducing the chance of effective treatment. Early detection can help to treat or, at the very least, fully stall the progression of lung disease.
Pneumonia is a complicated disease to diagnose because it could be caused by any number of pathogens that lead to a bacterial, fungal, or viral infection in the lungs. It can be contracted almost anywhere, including in hospitals. The problem is that pneumonia could be caused not just by a single disease but even by a group of specific infections. Each such infection has different epidemiology, pathogenesis, presentation, and clinical course.
According to the WHO statistics, nowadays, pneumonia is one of the leading causes of death worldwide.
However, the research of Le Roux and Zar says that pneumonia is the most common cause of death in children who have passed the neonatal period in the world. In the UK, pneumonia accounts for much more admissions and bed days than any other lung disease, with over 200,000 entries per year – this equates to 2.3 million bed days. Between 5% and 15% of patients hospitalized with pneumonia die within 30 days of admission. This figure rises to 30% for patients who are admitted to intensive care.
The main clinical diagnostic criteria for many types of pneumonia and coronavirus disease (COVID-19) have been imaging exams, which are especially important. The characteristic manifestations on chest X-Ray or CT imaging features of multiple patchy areas of ground-glass opacity and consolidation predominantly in the periphery of the lungs are beneficial in the early detection and diagnosis of this disease. That aids in prompt diagnosis and the eventual control of this emerging global health emergency.
In the clinical work of this pandemic, radiologists play a crucial role in the fast detection and early diagnosis of a suspected patient. This can become a great benefit for patients, public health surveillance, and response systems.
Chest radiography is the most helpful screening tool on the frontlines in medical settings with limited resources. Chest radiography is also beneficial in cases where the patient’s physical condition does not allow for transport to the radiology department CT scanner. Chest radiography can detect multiple patchy opacities throughout the lungs as the disease progresses beyond the early stage.
Computed tomography (CT) imaging is very sensitive to detecting early disease, assessing the nature and extent of lesions, and discovering subtle changes that are often not visible on chest radiography. The imaging features of lesions are always described with the following factors: distribution, quantity, shape, pattern, density, and accompanying signs.
However, artificial intelligence and machine learning can be used for solving complex data analysis problems, optimization of practices, and the diagnosis of life-threatening diseases like pneumonia.
The current situation requires fast, widely accessible diagnostic tools that would preferably be available yesterday or now. Speed, availability, and ease of application in a realistic clinical context of the current COVID-19 pandemic are most important. In this case, AI and ML solutions will play a key role.
The AI-based algorithms identify the infected areas that the physician should pay attention to for diagnosis.
Based on the reference information provided in the development, algorithms show the likelihood of a particular disease as a percentage. Users can also share the received data with colleagues through the network for consultations which reduces the probability of making the wrong diagnosis.
Such applications are very useful for physician assistants. And its goal is to reduce the burden on radiologists when the healthcare systems are operating beyond their capabilities and reduce the likelihood of a diagnostic error caused by overwork and psychological pressure.
Predictive analytics in healthcare: benefits and challenges
Modern technologies, including Big Data and machine learning, have opened new horizons for the predictive analytics and decision support systems market. With proper use, they will be the next step in the digital transformation of any industry, including healthcare. Today, the market for predictive analytics is exceptionally fast-growing. According to a study by AMR, from…
State of data science and ML in healthcare
VITech is pleased to reveal the results of the State of data science and ML in the healthcare survey that we conducted on LinkedIn in 2019. The survey sought to look into the scope and patterns of data science and machine learning adoption in the healthcare industry. Over 50 qualified respondents represented a variety of…
How is predictive analytics used in healthcare: TOP 10 examples
Smart healthcare is the future of the healthcare system. This revolution is already impacting the daily work of healthcare professionals and the practice of patient care. The changes taking place can provide solutions to many problems. Still, they also require us to rethink how we organize the health system, shifting the focus from treatment to…
ML-based system or why we use сomputer-aided systems in healthcare
Healthcare companies — providers or payers — have historically relied on computers for administrative tasks. However, new use cases have emerged as technology matured and the industry digitized. Today, hardly any clinic operates without a fleet of computers to store and manage patient/facility data, monitor patients and equipment, perform operations, and research. The advance in…
Benefits of EHR: Advantages and disadvantages for patients and medical staff
According to the analytical agency Frost&Sullivan, the market for digital medical solutions in 2021 amounted to $6 billion. At the same time, annual growth approached the 40% mark. This means that in the world’s developed countries, there is a significant growth in electronic medical records, the possibility of remote patient management, and the sale of…
How to provide diagnostics accuracy while lacking time
Poor systems deliver poor results, and, in the case of US healthcare, the pile of problems has been growing for years. From lack of transparency to high costs and administrative inefficiency, the system has created an environment where patients and medical staff suffer.
Human factors in safety control: epidemiological safety at risk
Organizations in every industry must ensure a safe working environment for employees and achieve safety compliance enterprise-wide. However, despite stringent regulations, regular safety drills, and safety management systems, non-fatal and fatal injuries in the workplace are still an issue for businesses. According to National Safety Council research, the total cost of workplace injuries in 2018 reached…