MedTech: The Impact Areas Of Artificial Intelligence In Healthcare

• By Ricky Philip
• 03-11-2022
• Artificial Intelligence

Artificial intelligence has become an indispensable part of our lives. It has been a boon for technology as well as medicine. Artificial intelligence helps in improving the quality of healthcare and also saves time, money and effort.

And without any doubt, we can say that AI is nothing short of a miracle!

It has the incredible power to solve almost any problem and make things easier for humans. AI-enabled medical devices are already helping millions of people around the world. It is not just limited to healthcare but can be used in many other fields like education, finance and even entertainment.

What is Artificial intelligence (AI)?

Artificial intelligence (AI) is a field of computer science that deals with making intelligent machines. It has been applied in many fields, including computer vision, natural language processing and self-driving cars.

The ability to read and understand medical documents, including X-rays and CT scans, has made AI an imperative part of MedTech. This implementation of Artificial intelligence has significantly reduced the burden on radiologists or doctors who read such images alone.

But before learning about AI in healthcare, let’s first dig deeper into the history of AI.

Artificial intelligence (AI) is a subset of machine learning that uses computer science techniques to make machines perform tasks that normally require human intelligence, especially in the form of non-artificial intelligence. AI research began in 1950s when Alan Turing and John von Neumann, co-founders of the field of computer science, proposed what they called a "thinking machine". By the 1980s, the field had produced several successful results, such as diagnosing flu using computational methods to analyse patient symptoms and identifying genes responsible for inherited diseases using computational methods to simulate biological systems. In recent years, AI has expanded to other tasks, including autonomous robots and video games.

The Role Of Artificial Intelligence In Healthcare

Various studies have shown that AI platforms can improve patient care by reducing errors and improving efficiency, accuracy and timeliness in delivering healthcare services. Some of these technologies are being used across different industries, including entertainment, aviation, transportation, retail and others, which directly impact the industry's bottom line.

Artificial intelligence is already making a positive impact on healthcare. It helps health professionals diagnose diseases, monitor patients' health, and predict their treatment responses.

Artificial Intelligence (AI) is becoming a popular topic in healthcare. AI is being used for diagnosis, treatment planning and monitoring of patients, as well as for data analysis and research purposes.

In the next five years, AI will be able to deliver real-time health data and information that can help doctors work out diagnoses and prescribe the right treatment. It also plays an important role in healthcare by automating some of the most tedious tasks for doctors and nurses. Moreover, AI has helped to reduce errors, improve patient outcomes and enhance the patient experience. It has helped improve the quality of life for millions of people worldwide.

Nowadays, AI applications can be used to analyse patient data, improve drug therapy and provide a faster and more accurate way to diagnose illnesses. It can also help personalise healthcare services based on patient needs.

Top Uses Of Artificial Intelligence In Healthcare

1) Clinical decision support:

Providing clinicians with critical information based on a patient's specific needs. This can include guidance for treatment options, medication management, and educational materials about disease symptoms and treatments. It helps doctors make better choices when it comes to treatment options for their patients. This could include recommending courses of action based on the patient's history or medical conditions, such as whether they're elderly or pregnant or if they have a health condition that needs special attention during pregnancy or after delivery.

2) Digital patient records:

Making it easier for patients to access their medical records via mobile devices will reduce paper trails and improve compliance with doctor visits and medications. With the help of artificial intelligence, doctors can be more efficient and accurate in their diagnoses. This has helped to reduce medical errors and saved lives. There are many benefits of using artificial intelligence in digital patient records. It helps to improve the doctor-patient relationship by making it more personalised for each individual.

3) Clinical research studies:

Using AI technology to collect large amounts of data from patients in clinical trials can then be analysed to help determine how new drugs or other treatments work best on different populations. Clinical research studies are the backbone of medical research and are responsible for developing new treatments and cures. Artificial intelligence is now being used to help researchers in this field by making their job easier. Researchers can now use AI to identify patterns in data that they would not have been able to find otherwise. They can also use it to find new leads for clinical trials and quickly analyse large quantities of data, saving them time and money.

4) Diagnosis:

AI can help doctors diagnose diseases better than humans do. This involves using machine learning algorithms that recognise patterns in patient health records and then predict future disease outcomes based on these patterns. For example, an AI system could monitor a person's blood pressure by analysing their medical history and clinical data over time. The system would then predict whether or not the person was likely to develop high blood pressure if they didn't take medication regularly or if they stopped taking it altogether. The AI can look at a patient's symptoms and determine the most likely cause of their ailment. This lets doctors rule out other illnesses before they start treating patients with expensive, time-consuming and invasive procedures.

5) Screening tools:

The AI can be used in various ways to help improve healthcare outcomes by identifying at-risk patients who may benefit from early intervention programs, including those for high blood pressure or cholesterol levels in adults or for autism spectrum disorder (ASD) in children who have not yet been diagnosed with ASD but may develop symptoms over time as they grow older. It can also be used to identify children who may need additional screenings due to changes in their development over time, such as changes in vision or hearing.

Conclusion

Artificial intelligence can also help doctors plan treatments for patients diagnosed with certain diseases or conditions, such as cancer or heart failure, by analysing their medical histories and clinical data over time. Clinical research studies are traditionally conducted in a lab setting, with researchers observing the study's results. But with the use of AI services, researchers can now collect and analyse data from anywhere in the world. The use of AI technology has allowed medical professionals to do their work more efficiently and accurately. It has enabled them to save time by avoiding repetitive tasks such as data entry or even reading through long documents. It has also helped to improve the accuracy of diagnosis by providing an objective analysis of patient records.