Role of Artificial Intelligence in Public Health

Updated: Jun 24




Role of Artificial Intelligence in Public Health


Artificial Intelligence (AI) in Public Health refers to the use of complex machine learning algorithms and deep learning software to mimic human cognition in analyzing, presenting, and comprehending complex medical and health care data to improve the quality of life.


What makes use of Artificial Intelligence (AI) technology stand out from the traditional technologies in public health is its ability to collect accurate data, process and analyze it, and deliver personalized experiences and output to the intended users.


What Role Does Artificial Intelligence play in Public Health?


Artificial Intelligence(AI) is in current use in all aspects of smart public health. Its endless opportunities involve several dimensions that include disease management, management of the public health facilities, medical research, and public health decision-making, aimed at promoting interaction between the public health and individuals.

In the following areas, Artificial Intelligence can be successfully applied


Diagnosis and Treatment of diseases


Artificial Intelligence(AI)-based solutions and algorithms can analyze large amounts of structured and unstructured healthcare data across public health institutions for effective disease diagnosis and treatment.


The implementation of Artificial Intelligence(AI) substantially aids physicians & doctors in hospitals to find similar cases and treatments, factoring in chief symptoms that they can use to accurately describe a patient’s condition and status of the disease that will lead to developing a more personalized treatment plan.


The accuracy of machine learning-based systems results and artificial intelligence diagnosis exceeds that of experienced doctors and physicians. The clinical decision support system built by Artificial Intelligence enables medical practitioners to give advice that is based on algorithms to improve the diagnosis accuracy, reduce the incidence of misdiagnosis, and enable patients to receive real-time and appropriate treatment.


Artificial Intelligence(AI)-enabled systems have been developed to allow for early diagnosis and interferences before certain conditions can turn into severe cases. These algorithms are reliable in immediate detections of conditions like osteoporosis, malignant tissue in breast mammography, and brain drains.


AI is driving progress in public health operations. It has the intelligence for immediate and more precision recognition symptoms of disease in medical models, like x-rays, MRI, ultrasound, and CT scans. This makes the whole process precise by allowing quicker diagnostics, reducing patient’s waiting time, and stimulating the initiation of treatment options


Health Management System


There is an increase in the number of diseases and patients that the traditional health management system cannot adequately deal with. Artificial Intelligence (AI) presents a new model through Artificial Intelligence(AI) that emphasizes and pays more attention to patient self-management, real-time patient monitoring, immediate health data feedback, and timely medical behavior intervention.


The increase in the use of telemedicine, treating patients remotely, has shown the rise of possible Artificial Intelligence applications. Patients’ information can be constantly monitored remotely through sensors and wearable devices. The information can then be compared to other data previously collected using artificial intelligence algorithms that alert public health officers of any alarms.


Smart homes powered by Artificial Intelligence(AI) offer home assistance to older and disabled populations. Tools such as personal and environmental sensors and actuators are integrated into these homes and are used to identify and monitor residents' regular activities and give an alert if there is any abnormality in behavior or a measure vital to the caregiver.

AI will help improve efficiency in hospitals and public health systems.


Disease Prevention and Risk Monitoring


Artificial Intelligence(AI) can minimize patient risk by identifying errors in medication that traditional clinical decision support systems are not able to detect.


By integrating Artificial Intelligence, public health systems will be in a position to predict risks associated with certain diseases and suggest preventive measures.


Smart Hospitals


This is about having operational initiatives that will improve services for patients, medical staff, and administrators while saving on costs. Smart hospitals rely on advanced technology, especially those based on automated processes and IoT optimization for better patient care procedures and to introduce new features.


The information platform for hospital management when integrated with multiple technology systems based on the IoT plays a key role in identifying and monitoring patients, daily medical staff management, and instruments and biological specimens tracking.


Pharmaceutical industries can also employ the use of AI in the production and circulation of drugs, anti-counterfeiting, and management of their drug inventory.


Hospitals with management platforms that are integrated with AI can realize functions such as allocation of resources, performance analysis, and quality analysis, that will reduce medical costs, maximize resource utilization, and help to make development decisions. This is due to the easy and fast decision-making process.


In summary, the integration of Artificial Intelligence(AI) and automation, is the future direction smart cities need for their public health.


Drug Research and Development


Application of data and artificial intelligence in medical and scientific research, the whole process of drug research and development will become more convenient.


Drug development processes involve such stages as target screening, the discovery of drugs, clinical trials, and more. Artificial intelligence offers automatic screening of the effects of drugs and targets, greatly increasing the speed of screening and reducing on time needed for the same. In addition, the artificial intelligence system can also timely collect the latest information from the outside world optimizing or correcting the screening process at any time.


Clinical trials of drugs involve the combined use of data analytics, IoT, and artificial intelligence. First, using artificial intelligence to analyze and match a large number of cases and determine the most suitable target individuals, saving the time of recruiting the subjects and improving the targeting. All data is collected and aggregated onto the appropriate platform for the researchers to analyze.



Summary


The use of Artificial Intelligence (AI) is predicted to bring down medical costs as there will be more accurate diagnosis and better treatment plan predictions as well as more disease prevention.



.WIASE RESEARCH INSTITUTE is committed to empowering cities and communities with the latest technology with the collaboration of DATA SCIENCE to implement the smart solution which can help cities and communities to survive in current challenges they are facing to be sustainable.





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