With Artificial Intelligence getting increasingly present in every aspect of our lives, it is no wonder it’s also transforming healthcare. The potential is immense, so AI technology is being used by more and more clinics and hospitals around the world. Let’s look at the most interesting examples of how it is driving innovation into our medical system.
- AI transforming healthcare
- AI in healthcare – best examples
- Platforms for medical AI professionals
- The impact of introducing AI in healthcare
Healthcare is being transformed by artificial intelligence.
The current epidemic has accelerated the AI-driven healthcare revolution, making things like access to e-health systems not just a commodity but now a requirement. AI has been transforming healthcare for some time.
More and more technology is being employed for cancer and heart disease treatments, and older people are using systems that allow practitioners to monitor patients at home, eliminating the need for protracted hospitalization.
The sector is fast evolving, and the following are the primary drivers, according to PitchBook’s recent Retail Health & Wellness Tech report:
The COVID-19 pandemic catastrophe and the necessity for a technologically capable pandemic preparedness and response system,
Doctors who prioritize preventative care and healthy lifestyles
Consumer health awareness has increased, as has the index of healthy eating.
Partnerships between consumer wellness startups and companies
Increased life expectancy and an aging population
The digital economy is paving the way for telemedicine, customised solutions, and fitness apps.
Population growth combined with a shortage of medical practitioners,
Social media growth is beneficial in fostering a healthy lifestyle.
Healthcare flexibility is in high demand from both consumers and providers.
Traditional healthcare is becoming more expensive.
AI and Big Data advancements.
Best instances of artificial intelligence in healthcare
We’ve seen some fantastic instances of how ML and AI are being applied in healthcare over the last several years. Some of the most impressive are listed below:
COVID-19 Early-alert Signals, COVID-19 Vaccine Hesitance Analytics Tool, and COVID-19 Clinical Severity Predictive Analytics Tool
Predictive analytics and artificial intelligence (AI) technologies have been used to combat the pandemic since the COVID-19 outbreak. These tools project the pandemic curve, monitor vaccine misinformation, and extract themes and subjects on vaccination resistance. They have proved extremely beneficial to governments and other health-care systems.
COVID-19 vaccine production and distribution
AI and machine learning technologies were utilized to gather and evaluate data required to successfully increase vaccine production. Advanced methods have been established to assist in understanding when and where to distribute vaccine doses so that they are delivered where they should be, significantly altering the supply chain and pharmaceutical industries.
Predictive analytics in real time for the urgent care system
Live predictive analytics is used to estimate the chance of individuals getting medical illnesses including heart disease, diabetes, or strokes. Business intelligence and predictive analytics are also utilized to help healthcare professionals offer optimal treatment by proactively directing ambulance flows to support each other when required.
AI-based technologies are being employed to assist researchers in their drug discovery procedures in the pharmaceutical industry. This method saves time and money while allowing for a thorough examination of all drug-related data. New technologies also aid in data monitoring and patient recruiting for clinical studies.
Radiomics is a branch of research that studies and analyzes biomarkers derived from medical pictures. It is effectively utilized for illness diagnosis, survival prediction, and treatment response evaluation due to its ability to find patterns that are not evident to the human eye.
DCE-MRI analysis that is automated
DCE-MRI is useful in brain tumor diagnosis since it provides information on tumor prognosis. When done manually, it is prone to errors and takes a long time. A completely automated solution can help to speed up diagnosis, assure consistency, and decrease errors.
Surgery with robots
Doctors may now conduct difficult medical procedures with more accuracy and control thanks to robotic surgery. It is often connected with minimally invasive surgery, although it is also being utilized in more standard surgical procedures as well. Its accuracy (precise cutting and stitching not possible with older procedures) reduces blood loss and infection concerns for patients.
Chatbots and administrative help
Chatbots are a wonderful approach to enhance primary healthcare and speed the process of having access to the relevant information since they provide rapid reaction and communication with patients. Patients may contact digital human platforms 24 hours a day, seven days a week to obtain answers to their problems. The most essential and extensively used AI applications in healthcare, on the other hand, are administrative help tools. They assist healthcare professionals in their daily activities, such as time management and evaluations, saving the sector a significant amount of time and money.
Platforms for medical AI experts
Good locations to start exploring for further information and guidance on the issue are:
SoPE stands for the Society of Physician Entrepreneurs.
A worldwide network of changemakers and entrepreneurs reshaping healthcare’s future. Its The main objective is to build a community-based global platform for biomedical and healthcare entrepreneurs to communicate and collaborate internationally.
Medical Intelligence 10 (MI10)
AI education and adoption consultants who teach and train students, trainees, physicians, patients, and stakeholders on artificial intelligence and its use. Its highly skilled team of professionals has extensive expertise in a variety of healthcare and artificial intelligence disciplines, such as augmented and virtual reality, cloud computing, deep learning, and robotic process automation. MI10 is a resource for assistance, education, and evaluation of your business. The organization’s readiness to deploy an AI strategy.
The first all-in-one system for gathering and analyzing billions of data points on millions of healthcare providers and clinics throughout the world.
The Implications of AI in Healthcare
Given its potential to maximize resource utilization, AI is expected to have a significant economic influence on healthcare in the near future, making it one of the most creative industries and providing high-quality medical treatment.
According to a Deloitte and MedTech Europe analysis, AI has the potential to save up to 400 000 lives per year while releasing up to 1.8 billion working hours per year, the equivalent of 500 000 more full-time healthcare workers.
It should be impossible to ignore the importance of these figures. The moment of AI and ML in healthcare is here, and it is prudent to ride this wave of innovation in all medical-related organizations.
Arlen Meyers, MD, MBA, is an emeritus professor of otolaryngology, dentistry, and engineering at the University of Colorado School of Medicine and the Colorado School of Public Health. Additionally, he leads the Society of Physician Entrepreneurs as president and CEO.
He is the founder of various medical device and digital health enterprises. His principal research interests are in biomedical and health innovation, entrepreneurship, and the commercialization of life science technologies. He advises and lectures for businesses, governments, institutions, and universities all around the world.