The AI industry has seen incredible evolutions and advancements in recent times as technology is quickly becoming a part of our daily lives. According to Market.us, the global Artificial Intelligence market was valued to be worth USD 129.28 billion in 2022. From 2023 to 2032, it is estimated to reach USD 2967.51 billion growing at a CAGR of 36.8%
Personal assistants like Amazon Alexa and Google Home use AI to run their processes and respond to user requests. Even with its wide array of uses, most still understand the technology as part of entertainment products and part functional tool.
However, AI is being applied to industries that most would never think of and getting great results. These AI apps are poised to launch quickly and will be great investments for years to come. The most important industry of all: healthcare.
As this field is still in progress, companies who want to hire people from these fields will need to pay more attention to the specialists they hire. Nowadays, many companies started investing in LinkedIn lead generation services in order to find the most suitable candidate for them who will help the company develop and provide artificial intelligence services.
Researching diseases that mutate rapidly
Researching disease is a massively important global goal. In order to tackle morbidity and mortality, we have to quickly research and address infectious diseases and deadly viruses.
Artificial intelligence is incredibly important in this endeavor. AI programs have been deployed to address diseases and viruses that mutate rapidly and unpredictably. Cancer is one such disease.
It mutates in rather quickly and uniquely. Analyzing key medical data associated with cancer patients with the precision of AI was previously impossible. Now analyzing disparate datasets of medical data on a granular level is much easier with automated processes and AI programs specifically designed for medical research.
Ebola crisis eradicated
AI has already been deployed to effectively analyze Ebola. With the help of smart software, medical researchers and disease control teams were able to combat the wave of Ebola outbreaks plaguing the globe. With the help of AI, pharmaceutical groups were able to manufacture a safe and effective vaccine for the voracious virus.
Health and education in a digital era
Health and education are the crumbling pillars of American infrastructure. These load-bearing columns are plagued by deep cracks and rifts wrought by short-sightedness and greed.
Oppression, however, breeds the power to oppose it. Similarly, big problems demand great solutions. As such, AI and other emerging technologies have worked to solve these pressing problems in healthcare and education by making distance learning and telehealth viable options for quality and affordable care.
Utilizing AI systems to teach and deploy healthcare also reduces costs for businesses and users which results in better health overall.
AI is now being used in conjunction with mixed reality technologies to create real surgical scenarios and train hopeful surgeons in real-time. We have already had a significant process with applied medical technology that has assisted in live surgeries. AI is often used to analyze vitals and other data in real-time in order to guarantee accuracy when it matters most.
Telehealth has benefitted from software automating administrative processes, engaging and connecting current patients and potential clients.
Taking knowledge a step further
AI is also being used on the student side of the medical industry as well as students are able to simulate real-world medical problems in a virtual environment and respond to them in real-time. This type of hands-on training is usually unavailable to most students but with the power of AI this type of training can become the norm.
Educational AI apps include:
- AI-assisted surgeries
- AI-assisted AR and VR training sets
Mood tracking and mental health
Mental health is one area where AI where be impactful. Mood tracking, chronic pain management, balancing stress, and virtual medical assistants will help those with chronic mental and physical illness manage their pain and take control of their prognosis. In addition, AI can be integrated into HRIS software to help companies discover more about their employees and thus, know to make the best decisions.
Conclusion
The first foray into the world of pharmaceutical research for AI comes in the form of research and analysis tools that can accomplish years’ worth of work in a couple of weeks. In an applied scenario like a mutating virus or disease, AI can increase the rate at which researchers can compile data and therefore come up with a cure.
For the most part, these AI apps are used to speed up the process of research dramatically so that new medical solutions can be found at faster than average rates. What’s more, AI has already been used to analyze the Ebola strain and produce data that was ultimately used to create a vaccine.
This proved that AI wasn’t just a tool for financial gurus and techies but instead a tool that can be applied to any situation. The same process of mass complication and analysis is also being used to study cancer and has already produced promising results that suggest new paths of action for certain types of cancer. This all culminates into a body of research that has been driven by AI and already achieved phenomenal results faster than anyone could have predicted.
