INTRODUCTION
AI is becoming more proficient at performing human tasks with greater speed, efficiency, and economy. Robotics and AI have enormous potential in the healthcare industry. AI and robotics are becoming more prevalent in our healthcare ecosystem, just like they are in our daily lives.
The proliferation of new technology throughout the Information Age has caused disruption in a number of businesses. Healthcare is no exception.Doctors, hospitals, insurance firms, and industries connected to healthcare have all been touched, oftentimes more positively and significantly than other industries, particularly in the case of automation, machine learning, and artificial intelligence (AI).
A 2016 CB Insights survey found that roughly 86% of healthcare provider organizations, life science businesses, and technology suppliers to the industry use artificial intelligence technologies. These businesses will invest an average of $54 million on AI initiatives by the year 2020.
What remedies are they therefore most frequently using? Here are 10 typical ways that artificial intelligence is altering healthcare now and in the future.
1. Taking control of medical records and other data
Data management is the most popular use of artificial intelligence and digital automation since gathering and analyzing information (such as medical records and other historical data) is the first stage in providing health care. To enable faster, more reliable access, robots gather, store, reformat, and trace data.
2. Working at Repeated Tasks
Robots can perform data entry, X-ray analysis, CT scans, test analysis, and other routine jobs more quickly and precisely. The amount of data to analyze can be intimidating and time-consuming in the fields of radiology and cardiology. Future cardiologists and radiologists should focus on the most challenging instances when human supervision is beneficial.
3. Treatment Planning
Artificial intelligence (AI) systems have been developed to analyze data, including notes and reports from patient files, outside research, and clinical expertise, in order to assist in choosing the best, most individualized course of therapy.
4.Digital Consultation
AI is used by UK apps like Babylon to provide medical consultation based on a user's personal medical history and general medical expertise. The programme allows users to input their symptoms, which are then compared using speech recognition technology against a database of ailments. Then, taking into account the user's medical background, Babylon suggests a course of action.
A 2016 app for Amazon Alexa was created by Boston Children's Hospital to provide parents of sick children with basic health information and guidance. The app responds to queries on drugs and whether certain symptoms call for a doctor's appointment.
6. Management of Medication
To track a patient's drug usage, the National Institutes of Health developed the AiCure app. In order to automatically verify that patients are taking their medications and assist them in managing their condition, AI is combined with a smartphone's webcam. The most frequent users may include those with major medical illnesses, patients who frequently defy medical advice, and participants in scientific trials.
7. Making of drugs
Clinical trial drug development can take more than ten years and cost billions of dollars. The world could alter if this process was made quicker and more affordable. During the recent Ebola virus outbreak, an artificial intelligence (AI) programme was used to search for existing medications that may be modified to treat the illness.
When investigation of this kind typically takes months or years, the programme discovered two drugs that may reduce Ebola infectivity in one day, a discovery that potentially resulted in the saving of thousands of lives.
8. Personalized medicine
By using the data in DNA, genetics and genomics search for mutations and connections to disease. Body scans can detect cancer and vascular disorders early and forecast potential health difficulties, thanks to artificial intelligence (AI).
9. Monitoring of Health
Wearable activity and heart rate monitors are available from companies like FitBit, Apple, Garmin, and others. They can share this information with doctors (and AI systems) to provide them with extra data on patient needs and behavior, as well as alert the user to get more exercise.
10. Health System Analysis
97% of medical bills in the Netherlands are electronic. An AI-powered data analysis tool developed by a Dutch startup helps local healthcare institutions reduce needless patient hospitalisations by highlighting treatment errors and workflow inefficiencies.
These are just a few of the solutions artificial intelligence is providing to the healthcare sector. Providers like Novatio are developing additional time-saving and cost-cutting solutions as innovation pushes the possibilities of automation and digital workforces.
Why utilize AI in medicine?
The way healthcare is provided is changing as a result of artificial intelligence (AI) and machine learning technologies. Health organizations have amassed enormous data sets, including clinical trial data, population data, claims data, and health records and photographs. The analysis of this data using AI technology is well suited to revealing patterns and insights that humans alone are not capable of discovering. Healthcare organizations can employ AI's deep learning to implement algorithms that will aid in the improvement of their clinical and business decisions as well as the standard of the experiences they offer.
How AI in healthcare quickens clinical judgements
Clinicians are finding it difficult to find the time to stay up with the most recent medical findings and yet deliver patient-centered treatment due to the enormous amounts of health data they are being bombarded with and their expanding workloads. Healthcare providers can quickly harvest accurate, pertinent, and evidence-based data that has been curated by medical specialists by utilizing machine learning technology on the most recent biomedical data and electronic health records. Users can enter inquiries as if they were asking a medical colleague in casual conversation and obtain prompt, accurate responses thanks to the natural language processing and domain-based training capabilities of some AI-powered clinical decision support products.
In conclusion, healthcare is more advanced thanks to the introduction of more cutting-edge and new generation AI tools in terms of awareness, efficiency in providing care, detection of emerging complications, accurate early disease diagnosis, and most recent interventional methods
.A succession of industrial, intellectual, and social applications of AI result in transformational applications that go well beyond what was brought about by past industrial revolutions.