- 1 Introduction
- 2 How Medicine can use AI
- 3 What are the applications?
- 4 Research Perspectives
- 5 Conclusion
Lets discuss Artificial Intelligence usage in Medicine.. Artificial Intelligence is booming throughout the globe because of its immense applications and also demand in every field of life. Since the years back, human was dependent on slow systems and also most of the work was done by men. That’s why, chances of error was higher as compared to the current age. Because of advancement in the field of computer science, we are capable to do complex calculations with less effort and more accuracy. Artificial Intelligence in Medicine (AIM) is one of the most prominent field which is going to change the way of dealing with patient’s problems and also recommending the best possible treatment to diseases.
How Medicine can use AI
Artificial Intelligence usage in Medicine. Trends in technology are being changed because of artificial intelligence. And Our thought about the threats to humankind is changing because of artificial intelligence. Artificial Intelligence is not intended to completely remove doctor or clinical judgment. In fact, Its intentions are to minimize the dependency on the conventional ways of treatment. In healthcare, artificial intelligence has a marvelous contribution as it is the cause of inventing a number of applications like decision support, image analysis, and artificial intelligent systems for predicting the future side effects of the medicine. ChatBots are being used to interact with patients and also ask a series of questions to patients to save money and time.
What are the applications?
Decision Support Systems are computer programs mainly designed to support patients and also health professionals. In these systems, the patient submits a set of answers to the questions of the system and also it does the task of screening disease. The computer decides intelligently on the basis of pre-trained data set. There are different types of Decision Support Systems based on architecture, targeted user and targeted domain.
Hospital Information Systems
Currently, available healthcare systems are quite challenging and also have skyrocketing costs. For providing equal treatment to all patients, AI is useful in handling the increasing availability of patient’s data on run time. AI analysis the data and also give the easy, efficient and cost-effective method of monitoring the number of patients.
This system is very effective in remotely monitoring the patients. Especially in ICU’s where analyzing the state of patients after each second is very difficult. Moreover, nursing can become impossible when there is a rush of patients. Notification System collects numerous amounts of data from ICU’s and also after analyzing and visualizing the data it provides notices to doctors before any serious condition.
Acute Care System
This is another system that provides short term treatment to patients with severe injury. A number of departments are linked together to monitor the patients. Acute Care Systems has application in the emergency department and ICU’s where patients need acute care and need to transfer in other higher dependency unit for further treatment.
Drug Therapy Systems
Drug Therapy Systems are getting higher attention from the medical care centers and also from doctors where it helps in suggesting the medicine for a disease. This system predicts the adverse drug effects and also enables the doctors to avail the precaution before any serious condition comes. In addition to this, it also supports to suggest dosing and choosing the best suitable medicine at every stage of the patient.
Quality Control and Administration System
This system supports the number of patients in hospitals or medical care centers instead of focusing on the particular patient. And It is very useful in analyzing the cost.
In training the young professionals and doctors this system helps and give an overview on the basis of different case studies. Education System is providing its part in saving time and also enhancing the quality of medical resources.
The main goal of this type of system is inventing the new systems as this system gives prediction on the basing of its experiences and electronic data provided by a number of users.
Laboratory system analyzes the different tests of patients and also helps in assessing the results. Similarly, it also provides assistance in ordering laboratory tests.
Decision Support Component
This system basically works when more than one user is working on the same task. It allows the collaborators to discuss the issues on the same platform to come up with multiple solutions to decide the best possible solution. The common example of deploying this system is the web or client-server.
The following graph gives market forecasts for the usage of artificial Intelligence. As the graph depicts, North America is deemed to be a leading region because of its highest investment in healthcare. Similarly, Europe and APAC are also showing a high interest in Artificial Intelligence usage in medicine. In short, the overall world’s trend is going positive direction.
Companies like Intel, IBM, Google, Microsoft, Medtronic, and Siemens are taking an interest in using artificial intelligence in the field of medical sciences. Similarly, there are a number of startups that are being added on a regular basis. For example, CloudMedx, Imegia Cybernetics, Precision Health AI and Cloud Pharmaceuticals are the active initiatives in this field.
Researchers are finding ways to develop more efficient techniques to reduce the overall developing cost and providing more proficient tools to get systems with precise and accurate results. Moreover, the mental healthcare for narrowing the gaps, identifying individual at high risk because of domestic violence, Stroke care, inventing new approaches for the treatment of eye disease, Brain’s real-time monitoring, automatic malaria detection, prediction of chances of suicide and reimagining the medical imaging world are the future research sides. In addition to this, scientists are further working on management systems to make them more autonomous and reliable that will really help in reducing the administrative burdens.
To put everything in nutshell, artificial intelligence is changing the classical ways of treatment. It is evolving new methods of dealing with disease and making it easy for doctors to take effective and efficient decisions timely. Moreover, with artificial intelligence involvement in medicine, one can get world-class treatment across the globe at a very low cost. Similarly, monitoring a number of patients at a time and getting notifications about their health to avoid any alarming situation has become possible because of artificial intelligence. To recapitulate all, artificial intelligence in medicine is emerging as a new field of research and it is going to change the old ways of thinking about handling the subjects.
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