How AI Changed Modern Medicine

Artificial Intelligence is becoming more and more sophisticated with every passing year. Nowadays, we are using it in almost every field, and medicine is not an exception. AI-based techniques to modern medicine have been one of the most important breakthroughs in all healthcare history.

AI can perform tasks usually associated with human cognitive functions such as processing language, recognizing sounds, and general pattern learning for problem-solving functions. It allows doctors to focus on more important tasks and save more lives than ever before. Read on and find out how the implementation of AI forever changed modern medicine.

Speech Recognition

AI is widely used in modern medicine for diagnostics and other operations. Speech recognition is one of the most popular AI techniques used in medicine for diagnostic procedures. This method is based on a computer's ability to record, scan, and interpret human speech and convert it into digital information. It uses recorded voice samples from a patient's medical history and compares them to current voice recordings to detect any changes or abnormalities. This technique can be used not only to analyze and diagnose a patient's overall health condition but also to detect early signs of mental diseases such as depression and schizophrenia.

Surgical Robotics

Surgery is one of the most important branches of medicine, and robotic surgery is one of its fastest-growing segments. The use of robotics in surgical procedures improved the accuracy and precision of surgical operations and prolonged the lives of patients. Robotic surgery is considered a safer and more accurate alternative to traditional open surgery because it minimizes the risk of human errors and ensures that an operation is performed precisely according to plan.

Diagnosis And Prognosis

Modern medicine has made many steps towards greater accuracy, as you can see from the example of technology to test for COVID-19 from https://www.visbymedical.com/.  AI is now used in clinical diagnosis and prognosis, which makes the process faster and more precise than ever before.

Image Recognition

The biggest problem in modern medicine is the lack of human experts. Due to a high percentage of patients, doctors cannot pay attention to each patient individually. One of the best solutions for this problem is image recognition. AI can recognize ailments and diseases in X-rays, MRIs, CT scans, and other images, which will allow doctors to make a diagnosis much faster.

Virtual Patient Simulation

Virtual reality is one of the most important components of AI-based training systems in modern medicine. They are used as a training tool for physicians, nurses, paramedics, and other healthcare professionals to improve their skills and acquire necessary knowledge before they work in real conditions. This method is very important because it enables students to receive education without real patients being involved. This way, we can reduce the risk of injuring or killing patients, which is very dangerous for both parties.

Text Analysis And Natural Language Processing

NLP (Natural Language Processing) is probably one of the most advanced AI techniques used in healthcare today. It allows doctors to analyze a huge amount of data available on a patient's medical history just by looking at their text records. AI-based NLP systems can sift through billions of pages of old medical records in just a few minutes. They can then look for changes in the patient's health over time, which allows doctors to identify potential health problems early on and take appropriate actions before it's too late.

Personalized Medicine

Although healthcare experts knew for a long time that every person responds differently to certain treatments, only recently was it possible to apply this knowledge to real-life situations thanks to AI technology. In modern medicine, AI can be applied to personalized medicine, which is based on individual genetic factors specific to every patient. The suggestions produced by AI-based treatment recommendation systems are tailored specifically for each individual patient to ensure that they get the best possible treatment.

Preventive Care And Wellness Programs

AI-based preventive care and wellness programs have been a huge success in many hospitals around the world. They help patients maintain good health and prolong their lives by reducing the likelihood of dangerous diseases and conditions. By receiving regular health checks, patients can learn about how to improve their lifestyle and receive advice from doctors on what changes they should make in order to stay healthy and happy.

Finding a Match

Another crucial task that AI can perform is finding a match between a donor and a recipient. Some patients can be saved only with the help of an organ transplant, so the lack of donors is one of the main problems faced by doctors all over the world. An AI system can analyze hundreds of parameters in just a few minutes and find the most suitable donor for any patient in need.

Smartphone Diagnosis

This technology allows people without access to medical specialists to diagnose their own symptoms and maintain their health. AI systems will never replace human doctors, but they will certainly help many people to maintain their health and make the right decisions when it comes to diagnosing an ailment. The best part is that you can use such a smartphone app on your next trip to another country.

Drug Discovery

AI-based software greatly accelerates the drug discovery process, allowing scientists to create new medicines for diseases using data gathered from all over the world. Instead of focusing on a single disease and testing thousands of drugs in a lab, scientists can use massive datasets collected by millions of people who volunteered their information for research purposes. This also ensures that new cures will be discovered more quickly and will be available to more patients around the globe.

Prenatal DNA Testing

Prenatal DNA testing (also known as non-invasive prenatal testing or NIPT) refers to genetic screening tests that are performed on pregnant women during pregnancy. These tests can be used for prenatal diagnosis (pregnancy terminations and genetic counseling) as well as for assessing fetal sex in cases where it is not possible to determine this using other methods (such as ultrasound).

With NIPT, the results are available very quickly, within one or two weeks from the day of sampling, while traditional prenatal diagnosis methods usually take from two to eight weeks for results to show up. The results from NIPT also become available before the mother's amniotic fluid starts to reduce at about 18-20 weeks of gestation. AI allows to quickly interpret the results. So far, most countries have banned prenatal testing for non-medical reasons, but the future looks very promising for pre-screening purposes. Some countries even offer free prenatal testing to all citizens due to its obvious benefits and importance for public health and medical science.

Conclusion

By implementing artificial intelligence into modern medicine, we created a more efficient and humane healthcare system that allows doctors to spend less time on routine work and more time on patients who really need their help. AI is not going to cure all illnesses, it is going to support the decision-making process, thus, making it faster and accurate. The potential of AI is vast, however, it requires a lot of improvements to achieve excellent results.