10 Use Cases of AI and Machine Learning in the Healthcare Sector

AI is everywhere now! Medical sciences & healthcare are advancing with the help of it. Check out 10 use cases of AI and Machine Learning in the Healthcare Sector.

Once upon a time, Artificial Intelligence was only a concept, and at that time, only a few know that is a very revolutionary technology that will completely change the world. But, yes, it is true, and we have completed some steps to reach the point where maybe some of your employees will be Robot. In this article, we will specifically talk about the contribution of AI and Machine learning in the healthcare sector.
Medical science is facing new research conclusions every day and advancing with the new technologies in which artificial intelligence is one of the promising technologies. Until now, most of the use we can see in the devices in a digital assistant. There are numerous healthcare applications we can find that have the essence of AI. The segment that works with devices called Machine Learning. You can understand this term as when the device learns the user behaviour by analyzing the history of previous inputs.
Regarding the healthcare applications, the organizations avail the services of technology vendors such as web development companies. Specifically, if we talk about the USA, then the US $6.7 billion is projected revenue by AI in the healthcare sector that motivates firms such as web development companies, Atlanta, to raise the efforts for more growth in research to make the lives easy healthcare segment.

Earlier, to kick start the list of 10 use cases of AI and Machine Learning in the healthcare sector, we need to read the revelation about an openly asked question.

How AI is used in healthcare?

The above question is cleared in itself, and the point is that AI and Machine Learning can change the future of any industry where healthcare is one of the biggest. Although all industrial segments have their own importance, this industry is directly related to human lives. According to the at-present scenario where COVID-19 shook the world, there are ample need for artificial intelligence-based healthcare solutions. Here you should note that for implementing the healthcare solutions, software firms also contribute, such as web development companies in California.

If we prepare the list to specify the answer to the question that how AI is used in healthcare, then it would be following –

• Automated Consultation, Diagnosis and Prescription
• Personalized Medications
• Patient Data Analytics
• Prediction of Spread of Disease
• Medical Imaging
• Market Research
• Risk Analysis
• Drug Invention
• Gene Editing

The above are the key activities that indicate the use of AI in healthcare. The global AI market in 2021 is expected to reach USD 327.5 billion, where AI software market revenue recorded across the globe is USD 247.6 billion. The software firms in the USA, such as web development companies in Los Angeles, are stakeholders in generating revenue by producing technical solutions to multiple healthcare enterprises. These enterprises are investing their capital in Artificial Intelligence and Machine Learning-based healthcare solution for having an extra edge in the market.

Let’s proceed further to have great insight into AI in the medical and healthcare sector.

List of 10 Use Cases of AI and Machine Learning in the Healthcare Sector

In comparison to the existing time, in future, we will observe more applications powered by machine learning as the scientists and technology firms such as web development companies, Atlanta is continuously progressing towards it. In addition, along with the healthcare needs, these AI-powered applications provide great insight into the data that can be used for further analytics on a broad spectrum.

Here are 10 use cases of AI and Machine learning in the healthcare sector-

1. Identification & Diagnosis

One of the crucial requirements of the healthcare industry is to identify and diagnosis the disease. Machine learning, one of the hot-most segment of AI technology, has the potential that solves the issues related to the delay in diagnosis of diseases such as Cancer, Lung infection or any other ever disease. If the symptoms catch in an earlier stage, it is very fruitful to initiate the treatment on time. Multiple web development companies in San Francisco strive to develop solutions that can act in routine clinical conditions where automated prescription of medicines and tests will be advantageous.

2. Research And Analysis

The healthcare sector is totally dependent upon research and analysis to find out the best solutions for life-saving options in medicines and devices. From routine checkup to critical surgery, machines are involved with the medical specialists to give a new life to the patients, and that is possible with the help of research done by scientists and where software firms such as web development companies in California are contributing to developing compatible applications. One of the best examples is Robotic Surgery. Till 2025, the robotic surgery market size will be 12.6 billion US dollars, wherein in 2016, it was only 4.5 billion USD.

3. Drug Discovery

Machine learning also assisting in the early drug discovery process via a comprehensive analysis of data obtained from research and development activities. Precision medicine and next-generation sequencing is empowering healthcare or medicine brands to find out the best alternatives for therapy and drugs regarding multiple diseases. For this purpose, organizations also use data analytics software built with the help of web development companies in New York. For example, Microsoft’s Project Hanover use Machine Learning technology for cancer treatment.

4. Personal Healthcare

Personal healthcare covers a significant percentage of the healthcare sector worldwide. It is projected to reach USD 5,134 by the end of 2021, and the expected revenue growth CAGR 2021-2025 is 9.91%. In a normal routine, the patient can approach the doctor, but in chronic conditions, it is tough to keep an eye on every second because doctors have to take care of other patients.

So, here wearable AI technology is such a fantastic utilization of technology that keeps the record of patient of monitoring purpose where doctors can prescribe the treatment immediately. Some of the web development companies in Los Angeles are working day and night on wearable AI, so something great cab is produced for human lives.

5. Chatbots

Chatbots are revolutionary examples of the evolution of technology or interference of technology in our lives. It is the technology that will totally replace the definition of customer services. It is also useful in healthcare where the patient can interact with it to resolve their health concerns instead of standing in a queue at clinics or hospitals. One of the web development companies in San Francisco admits that at various hospital’s website, you can find chatbot applications now. These chatbots are helping in an initial consultation for disease also helping in crowd management at the reception counters of clinics. Shortly, chatbots will be able to prescribe the initial medication instead of doctors. It is the real face of AI and Machine Learning.

6. Error Reducing

Misdiagnosing can take a life, and yes, it happens multiple time. Several reasons for it include incomplete medical history, misconceptions, inappropriate medicine prescription etc. It has been proved that AI can faster predict the disease in comparison to doctors. Although it does not mean that there is no need for medical practitioners, the point is some due to heavy load, it is too tough for the healthcare professional to diagnose the patient with extra care, so instead of misdiagnosing, they are using Machine Learning based healthcare solutions developed by web development companies in New York to eliminate the chances of errors.

7. Health Records

Managing the health records of many patients is quite a tussle task. The health records are being maintained by data entry work where there are multiple chances of typo errors that can lead to the worst case. Maintaining the records takes much time, so instead of fear of errors, Machine Learning-based software works fine to handle the health records. Web development companies have developed AI-powered software that helps in managing the records faster and accurate. So, later it can be used for further analysis.

8. Filtering Out Relevant Information

The doctors need to go through the patient’s medical history via previous medical records or documents for finding out the conclusion for diagnosis and treatment. It takes too much time. So, instead of spending valuable time only extracting the information Natural Language-Based tools are much better for filtering out relevant information.

9. Crowd-Sourced Data Collection

Crowdsourcing is one of the best examples of use cases of AI and Machine Learning in the Healthcare Sector. It allows researchers and scientists to access the wide range of data for research purpose. These data are being uploaded by the people own. For example, Machine Learning based facial recognition technology is helping healthcare professionals to treat the disease such as Asperger’s disease, Parkinson’s disease etc. Here the base of treatment is crowdsourced data. The web development companies in California are working on developing tools that will be compatible with these types of live data.

10. Outbreak Prediction

COVID-19, one of the dangerous words of the 21st Century. The whole world is facing it very badly; however, efforts are taking place to tackle it. The AI-based Machine Learning technology became the greatest tool to predict disease outbreaks; various results and predictions we see in the newspapers or news channels are based on it. The scientists are using several mediums for data collection in which web development companies are also helping them from their side. The Artificial Neural Network is a technology that helps in consolidating the data for accurate outbreak prediction.

The Conclusion

Artificial Intelligence is the most powerful techniques that have the potential to change the world order. However, it has positive and negative aspects. In terms of positive aspects, in the healthcare sector, now AI techniques became the revolutionary method to overcome the impossible years ago. Now, medical science is advancing via AI and machine learning, where these 10 use cases are enough to prove it.

In addition, web development companies are also contributing to impart AI techniques in the healthcare sector. Therefore, there are servicing the major portion of the healthcare and medicine sector worldwide as their technical partners that include software and tools development. Shortly, traditional healthcare practices will be totally replaced by AI and Machine Learning.

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