Artificial Intelligence in managing COVID-19
The healthcare industry is looking for new ways to observe and handle the increase of pandemic COVID-19 in the wake of this global health crisis. Artificial Intelligence is one of those tools that may track the virus spread and spot the risky patients to control this infection in real-time. Healthcare delivery includes the help of emerging technology such as Internet of Things, Artificial Intelligence, Machine Learning, and Big Data to combat in addition to look forward to the latest diseases.
Healthcare organizations are in desperate need of technology for the decision making to deal with this virus and facilitate them to get timely feedback in real time to prevent it spreading. AI competently works in simulating the human intelligence and it plays an important function in recognizing and recommending the growth of a COVID-19 vaccine. This motivated knowledge is new for better research, measuring, predicting and roadway for existing and potential patients. The applications are for tracking deep-rooted, improved and deceased cases.
AI in the Healthcare Sector
Patients, healthcare service providers, hospitals, professionals and various stakeholders in the ecosystem all stand to benefit from AI-based solutions. It can lead to greater operational efficiencies and produce positive and desirable outcomes.
AI is a very important part of the modern healthcare system. Chest x-rays are the most common radiological procedure with more than 2 billion scans performed worldwide each year, about 6000 scans a day. Such an enormous amount of scans places a heavy burden on radiologists and is likely to cause many diagnostic errors. In a fast decision-making process, the human error rate may be as high as 30 per cent under stressful conditions. While a radiologist’s experience is still of utmost importance, it has been shown in many studies that AI–powered machine learning systems frequently outperform radiologists in speed and accuracy. Assisting with AI tools in the decision-making process will boost the consistency of the outcomes and potentially save lives.
AI advances are important in combating COVID-19. Doctors and hospitals delivering critical care and shortage of resources will trial a patient with AI-tools to diagnose lung disease-representing chest x-rays in the very near term. As decent sized, well-curated and labeled COVID-19image datasets become available from reputable institutes such as NIH, Stanford, Mayo clinic, MIT and large hospitals around the world, training multiple versions of COVID detection machine learning model is possible. With the aid of these models, the effects of the intervention can be improved and COVID-19infections can be detected at a more rapid pace.
Applications of AI in the Healthcare Sector
The use of artificial intelligence would become a transformative force for applications in healthcare. The possibilities are infinite ranging from anatomic geometric measurements to cancer diagnosis, radiology, medical applications, drug discovery and genomics. The use of AI in these situations will lead to improved operational efficiencies, less human errors, extremely positive outcomes and major reduction in cost. The beneficial applications that will benefit include radiology, dermatology, vascular diagnostics and ophthalmology.
Early Infection detection and diagnosis
AI can quickly recognize suspicious signs and warn patients and representatives in the health care sector. This makes it easier to make choices, and is commercial. It aids to build a novel analysis and executive scheme designed for COVID 19 cases by means of supportive algorithms. Using investigative imaging technologies such as magnetic resonance imaging (MRI), computed tomography (CT ) scanning of human body parts, AI is useful in treating infected patients.
Tracking the Treatment
AI will create smart platform to track and predict the spread of that virus automatically. In addition, the neural network is built to eliminate the conceptual features of this ailment and this will aid better monitor and manage the affected persons. This has the potential to provide daily input to patients and also offer recommendations to be implemented in COVID-19 pandemic.
Development of Drugs and Vaccines
Review of available data on COVID-19 allows use of AI for drug analysis. It is helpful for the drug delivery design and production. This machine is used to improve the drug testing in real time, where normal testing take a lot of time.
Reducing workload for healthcare staff
Healthcare staffs have a very heavy workload because of a rapid and unprecedented rise in the number of patients during the COVID-19 pandemic. The AI is utilized to decrease healthcare staffs workload. This helps in early diagnosis and offers early care with modern methods and decision-making, offers students with the best preparation. AI may force potential patient care and deal with probable challenges that will lessen the doctor’s workload.
With the analysis of real-time data, AI is capable of providing efficient information that helps to avoid this disease. It predicts the possible infection sites during this crisis, virus inflow, beds need and health care professionals. AI is useful for preventing operation viruses and disease by means of the support of the previous mentored data over data that is established at different times. It describes the characteristics, causes and reasons for spreading the infection. In the future, this will develop into an important technology to combat the additional epidemics and pandemics.
AI is a growing as well as valuable method for detecting early corona virus infections and also helps in tracking infected patients’ condition. Through designing useful algorithms, it can greatly increase the quality of diagnosis and decision taking. AI is not simply useful in treating patients with COVID-19 infection, but also for close monitoring of their health. We can monitor the COVID-19 crisis at special scales, including medical, molecular, and epidemiological applications. It is also cooperative to promote research into this virus using the study of obtainable data. AI may assist in the development of effective treatment schedule, preventive strategies, drug and vaccine production.