How is AI advancing Healthcare and Medical Science?

How is AI advancing Healthcare and Medical Science?

Remaining as a fact in history, Artificial Intelligence has influenced all our lives in one way or the other, by becoming an office companion or a home assistant. However, among all this, AI has been a blessing to the Healthcare Industry. The Adoption of AI in the Healthcare and Medical Science is growing rapidly as according to a report by Sage Growth, 90% of the hospitals have provided a solid nod to the AI culture in making developments in their medical infrastructures and also support their employees in performing their jobs more diligently.  

Though that being said, it also raises the privacy concern for the authorities that could threaten the security and privacy of patient data. Several Medical Institutions and hospitals are trying to find a solution to avoid such situations by putting up stringent policies and structures, mainly focusing on the rights to patient data.  

How does AI work in improving Healthcare? 

The Artificial Intelligence system is inspired by the Brain’s Neural Network of managing, processing, storing and release information. Here, AI begins with a massive amount of data, and then it employs machine-learning algorithms to extract information. This information is then utilized to generate meaningful results to solve a complex problem that is fed into the medical system.  

AI Models identify meaningful patterns and translate into clinical imagery through deep convolutional neural network. This helps in patient diagnosis, prognosis, treatment and caregiving. Though we have only scratched the surface to find out this, there is much more that AI could achieve in the future. At present, the recently built modern algorithms can easily solve complex medical problems by using binary classification of data. It can review, interpret and also recommend solutions to be later carried out by a medical practitioner.    

Applications of AI in Medical Science and Healthcare 

There are numerous ways how Artificial Intelligence has helped the medical field. It is bringing about a transformation that is and will be going to be remembered as the time for a change. So, where is AI being used to help the medical industry? Let’s find out. 

1. Clinical Support for Decision Making 

 AI is a powerful tool that helps medical professionals make quick and accurate decisions. Through Pattern recognition system, Artificial Intelligence can make room for better diagnosis and treatment in case of emergency. At times, it can also be used as a second opinion to the medical practitioner to avoid complications and miss any unruled circumstances that could occur.  

2. Patient Information Management 

Artificial Intelligence has proved excellent for diagnosis but also great for patent information management. Automated information updation and interoperability etc., are considered great for both the medical institution and the patient. Telemedicine is also becoming popular that is the remote delivery of healthcare services and medicine. AI detects and evaluates the patient condition and helps in outpatient care for hospitals.  

3. Drug Discovery 

Though you have already observed how AI has elevated the situation and provided the needful for Drug Discovery and Development in the times of Covid-19, but if you haven’t read our article, read it here ‘How is Artificial Intelligence winning the Covid-19 situation’. Artificial Intelligence has saved humankind by its efficient and accurate testing/identification of combinations. Accelerating the entire process, AI has produces an innovative approach to medicine and medical science sphere.  

4. Improve Research and Development  

By the focused adoption of AI in medical science, we can control or manage the budget spend on R&D. Since R&D is a great part of medical science, governments and private institutions are spending a colossal amount of money on its part. However, with the deployment of AI in the field, there will be a significant change in the nature of research as it will be fast-tracked and have accurate results, simply saving time and money. 

5. AI-assisted surgery 

This might look like something from your favourite sci-fi movie; however, this is being practised in different parts of the world. AI-enabled Robots helping the surgical procedure with a surgent. There has been much evidence that proves the fact the Artificial Intelligence has the ability to provide acute care management like surgery to its patients. Advanced Analytics and Machine Learning, along with Robotics have made it possible in time.  

6. Prevent a Pandemic/Epidemic 

Though it may seem quite far-fetched, it will soon be a common enactment. Artificial Intelligence, along with Machine Learning are great to provide insights on early detection of a spread. It processes massive information of patients without any human help, thus maintaining confidentiality and detect early symptoms of a group of patients in a locality. This application can also be incredibly beneficial for the government to take immediate action.  

7. Reinforcing Life Insurance and Medical Covers 

Artificial Intelligence is also used in Finance and banking industry. It is interesting to know that Financial Institutions are using Artificial Intelligence to help people find out the appropriate amount that they need to cover their medical insurance and even life insurance. The AI works through the medical history of the applicant by applying advanced analytics and thus make a balanced document that will be accurate for the individual. This saves money and time for any patient. Some hospitals provide this facility as an overall management or healthcare package. 

 

Thus, AI looks well-positioned to transform the healthcare industry as a whole. AI systems can help in multiple ways other than the ones listed above, like transcribing notes, send healthcare alerts, managing and updating patient data into EMR portals and also help in diagnosing patients. Artificially intelligent systems are great to help patients with inpatient, outpatient and follow-up care. The future of AI in the healthcare industry is promising, and yet there is so much that remains to be done. If you want to know more about AI and its role, you must be a part of our latest webinar, Role of AI: From Vaccine Development to Distribution on 25th June 2021.  

India representing Innovation for Higher Education

India representing Innovation for Higher Education

The Economic Growth of a country majorly depends on its education system. The rise of a generation can be predicted easily with the quality of education and how it prepares its young minds for the future. While India’s higher education system is known to be the third-largest in the world, just next to the US and China, it can be said that there is a lot that the country can lend from its frontrunners in terms of growing up to be a Knowledge Economy.  

With an abundance of resources and being the largest pool of scientific and knowledge workers, India is emerging to be a hub of Higher and Technical Education. As per The National Education Policy, 2020, every education institution must encourage its students to foster creativity and critical thinking to develop logical decision-making and innovation. 

Big Innovation Centre India is a Think-Tank, and our aim is quite aligned with the present objective of the country’s Government. To create a knowledge-based Ecosystem that delivers to the ever-changing societal demands and raise their country’s innovation capabilities. We help institutions and organizations build Research, Entrepreneurship and Incubation Centres for students, as well as professionals to contribute to their field of interest. Visit our Website and know more about us.  

Let’s take a look at How Innovation is helping the Higher Education Sector: 

Reforms in Course and Curriculum in Higher Education

There was an absolute need for the reformation of course and curriculums of the Higher Education Institutions. The changing times have ruled off the theories of the past and thus The National Education Policy 2020 focuses on more modern learning that is Student-centric. Student Centric Learning is well defined as educational programs, instructional approaches, learning experiences, and academic strategies that address the distinct learning needs, aspirations, interests and values cultural backgrounds of each student or a group of students. This creates a space for the students to be matured learners. The higher education system must include the availability of flexible curricula models and educational policies that emphasizes open-ended systems, inter-generational, open-ended systems and inter-professional relationships and sustainability.  

 

Creating Digital Knowledge Transfusion Infrastructure 

The Pandemic has cleared every cloud that we had on investing in Digital Infrastructure for Higher and Technical Education Institutions. The corridor for development in making the Digital Learning Space safe and secure for its students still exists and the government has emphasized on the vertical by creating a National Repository Digital Infrastructure for Knowledge Sharing (DIKSHA). This is a great initiative that would be beneficial for both teachers and students. We need to boost our e-governance infrastructures so it incorporates Management Information Systems within our inclusive teaching-learning process as well as provide a direction in the governance of higher education institutions. 

 

Request to add Emerging Technology in the existing curriculum 

Adding Emerging Technology to the syllabus can be proved as a great addition to make the students future-ready. These once futuristic concepts that students used to learn post their education, should be introduced to have a better grasp of these advanced innovations and technologies. The Government of India has previously expressed the need to implement skill-based education for all, and even then, only a few universities had included Emerging Technologies as a subject. However, 2020’s digital revolution is one that is making the academia adopt subjects like Artificial Intelligence and Machine Learning, Robotics and Blockchain.  

 

Setting up of Innovation and Incubation Centres 

There is a staggering need to advance science and technology innovation and its application in our universities and thus create favourable conditions for growth and forming of an environment for innovations to occur. Higher Education Institutions and Universities must build Innovation as well as Incubation centres that aim at promoting the economic de­velopment of various regions. These incubation centres are great for students as well as research professionals to utilize their creativity and help solve the complex societal problems. These Innovation Platforms should be encouraged to facilitate multi-disciplinary research projects in dynamic areas of science and technology such as IoT, robotics, big data analysis, cybersecurity, ethical hacking, forensic etc.  

 

So, the Indian Higher Education System is trying to transform its framework right from the foundation and adapt to changes needed to impart high-quality education. The level of excellence in higher education will be a key factor in determining the role that India will play globally. Thus, Innovation in Higher Education is the absolute pathway that will lead India to become a knowledge hub among other countries and these factors like skills to create, innovate, crisis management, problem-solve, design thinking, critically think, cognitive recognition and teamwork are taken into account to leverage the growth of economy and society as a whole.