Medical Applications of Artificial Intelligence - How Innovative Companies Use AI in Healthcare

Artificial intelligence has evolved increasingly to be able to do what humans do, but more efficiently, more quickly, and at a lower cost. 

The potential of both artificial intelligence and robots in healthcare and the medical field is enormous and vast. 

As in our daily lives, artificial intelligence, and robots are increasingly part of our environmental health care system.

Artificial intelligence is widely used in the medical field

Medical Applications of Artificial Intelligence - How Innovative Companies Use AI in Healthcare

Medical Applications of Artificial Intelligence

It may be difficult for humans to analyze complex medical data, but for artificial intelligence and robot, it is not a difficult task. 

Artificial intelligence has become widely used in the medical field by using programs to improve and develop human knowledge in the analysis of complex medical data.

There are many uses of artificial intelligence in medical science and healthcare, for example, artificial intelligence is used in modernization and development of medicines and treatments.

Artificial intelligence is used in the process of diagnosis and knowledge discovery of various diseases and is used to maintain the safety of patients by monitoring their health and care. 

AI is also used in the development of good systems and protocols for the treatment of patients.

One of the biggest potential benefits of artificial intelligence is that it helps people stay healthy until they do not need a doctor, or at least not as much. 

The applications of artificial intelligence and the Internet of medical things (IoMT) in consumer health actually, help people. 

The use of artificial intelligence technology promotes healthy behavior in individuals and helps in the proactive management of a healthy lifestyle. 

It puts consumers in a position to control their health.

Artificial intelligence is already used to detect diseases, such as cancer, more accurately and in its early stages. 

According to the American Cancer Society, a high proportion of mammograms give wrong results, leading to 1 in 2 healthy women being told they have cancer. 

Artificial intelligence can be used to review mammograms and translate them 30 times faster at 99% accuracy, reducing the need for unnecessary biopsies.

The spread of wearable fitness devices and other medical equipment is also applied along with artificial intelligence to monitor heart disease at an early stage, enabling doctors and other caregivers to better monitor for life-threatening and early-stage seizures.

Robots have the potential to revolutionize end-of-life care, help people stay independent for longer, and reduce the need for hospitals and care homes.

Artificial Intelligence allows the undergoing training to engage in natural simulation in a way that simple computer-based algorithms cannot do. 

The emergence of natural speech and the ability of a computer equipped with artificial intelligence to draw instantly on a large database of scenarios means that answering questions, decisions and advice from the trainee can challenge in a way that a person cannot do it. 

A training program can learn from previous responses from a trainee, which means that challenges can constantly be modified to meet their learning needs.

Many international medical centers have developed much artificial intelligence algorithms for their facilities, recognizing the importance of using artificial intelligence in the medical field that can offer to solve many health problems.

When was Artificial Intelligence First Used in Healthcare?

The program was created in the 1970s and was the first medical program based on artificial intelligence. 

This program provided important fundamentals for MYCIN - artificial intelligence program, which is used to identify the highly pathogenic bacteria such as bacteremia and meningitis. 

MYCIN is one of the most important applications of artificial intelligence in medicine.

The Present Use of Artificial Intelligence in Healthcare

As for the present age, artificial intelligence has acquired a great interest in the field of medicine, which has been used extensively, especially in the field of radiation which is known as radiotherapy, as this medical field requires a high degree of accuracy to get the results of sound. 

Doctors and radiologists rely on artificial intelligence to get accurate results.

For example, Stanford's Artificial Intelligence study, which helped develop radiotherapy, produced a modern algorithm that could detect pneumonia better than radiologists.

How Innovative Companies Use AI in Healthcare? 

Various innovative companies have contributed to the use of artificial intelligence (AI) in healthcare

There are many famous technologies companies that have played a major role in the use of artificial intelligence in medicine and other medical fields. 

The most innovative companies that have contributed to the use of artificial intelligence in healthcare include:

Hanover Project: Microsoft Corporation, which launched the Hanover Project in collaboration with Oregon Health & Science University (OHSU) Knight Cancer Institute. 

The project analyzes medical research to predict the most effective cancer treatment options for patients.

Bio Beats: Bio Beats uses sophisticated and innovative artificial intelligence (AI) algorithms to accurately predict the factors that lead to stress or strain and the steps that people need to take to reduce it. 

BioBeats Apps have been programmed to help people develop better resilience and flexibility for stress and strain and improve their health for a long time. BioBeats Apps provide a variety of features, including:

The apps encourage more physical activity

Help to promote better sleep

Motivate regular evaluation of your mood.

International Business Machines Corporation: IBM is working with many centers and companies to develop and use artificial intelligence in medicine. 

It works with CVS Health Corporation on how to apply and use artificial intelligence in the treatment of chronic diseases, and also develops oncology at the Memorial Sloan Kettering Cancer Center (MSKCC).

Ginger.io: Ginger.io is one of the most sophisticated data-driven solutions to improve mental health. 

It keeps track of various patient inputs for establishing causal links between various psychological problems and many mental health issues to make the custom patient plans.

Jvion:  Jvion Machine uses artificial intelligence(AI) to identify physical risk factors and diagnose physical and mental disorders that were previously undetermined, most risk factors are cognitive. 

The techniques used to run this machine have found interesting relationships between various physical ailments and many psychological factors.

Atomwise: Atomwise has helped many pharmaceutical companies to find a number of new medicines and drugs much more quickly. 

The company is partnering with other major health organizations to use artificial intelligence to develop and improve healthcare models.

Google Deepmind Health: Google is clearly one of the world's most famous AI companies. 

The company's AI division is focusing more on implementing artificial intelligence models to pursue healthcare. 

Google has built the deep Google field platform - Google Deepmind Health, which is used in various medical and health services in the UK, to detect potential health risks by aggregating data from a mobile application. 

There is also a second project for Google to analyze the x-rays collected in various national health services to detect the carcinogenic cells in the person's body.

Healint:  Healint Company helps patients manage chronic diseases. 

The company uses a wide range of data sources, including information from wearable fitness devices, mobile phones, and patient records. 

This technology is capable of providing some of the timely health services available.

Conclusion

The success of artificial intelligence in healthcare will help healthcare professionals diagnose more accurately and efficiently and will allow more diagnostic care in areas with limited services and health facilities. 

Medical Training can be done anywhere with the help of artificial intelligence (AI) in healthcare embedded on your smartphone, a quick compensatory cycle after the difficult situation in the clinic or while traveling will be possible.