How AI is Contributing to Healthcare Sectors?

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"Every little thing that we adore about human development is a product of intelligence, so amplifying human intelligence with artificial intelligence has the potential of assisting civilization flourish like never before as we manage to keep the technology beneficial."

Says: Max Tegmark, President of the Future of Life Institute

Artificial intelligence (AI) as the name says is the replica of human intelligence which is demonstrated by machines. Its transformative power is pulsating across many industries due to the lower costs and quick performances, but in one industry its impacts are booming and proving to be truly life-changing. From hospital care to clinical research and drug evolution to insurance, AI applications are transforming how the health sector works to reduce spending and improve patient outcomes.

Investments Done So Far:

According to Forbes Insights, the total public and private sector investment in healthcare AI are astonishing. Moreover, the investment is likely to reach $6.6 billion by 2021. Accenture predicts that the top AI applications may result in annual savings of $150 billion by 2026.

How AI is benefitting you?

Shape It Up- One of AI's biggest benefits is to help people stay healthy so they don't need a doctor, or at least not as often. The use of AI and the Internet of Medical Things (IoMT) in consumer health applications are already serving people. Technology applications and apps encourage healthier behavior in people and help with the proactive management of a healthy lifestyle. It sets consumers in control of health and well-being.

Early detection & prevention- Artificial Intelligence enabled devices use pattern recognition to identify patients at risk of developing a condition or watching it getting deteriorated due to lifestyle, environment, or genomic conditions. AI can help clinicians take a more extensive approach for disease management, better coordinate care plans and help patients to better manage and comply with their long-term treatment programs.

It can detect cancer more accurately and at its early stages. According to the American Cancer Society, a high proportion of mammographically tests yield false results, leading to 1 in 2 healthy women being told they have cancer. The use of AI is allowing the review and translation of mammograms 30 times faster with 99% accuracy, reducing the need for unnecessary biopsies.

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Robots are redefining doctors- Robots have been used in healthcare as they are considered to be highly evident surgical robots, they can either aid a human surgeon or execute an operation by themselves. In addition to surgery, they’re applied in hospitals and labs for repetitive tasks, in rehabilitation, physical therapy and in support of those with long-term diseases.

Dependency is now a thing of the past- Artificial Intelligence has bought the potential to revolutionize end of life care, conditions like dementia, heart failure, and osteoporosis make people dependent on others or probably make them lifeless, robots these days are helping such people to remain independent for longer, reducing the need for hospitalization and care homes.

Drug Research and Discovery- It is one of the most recent applications for AI in healthcare software development. By handling the modern approach in Artificial Intelligence to streamline the drug discovery and drug recycling processes there is the potential to significantly cut both the time to market for new drugs and their costs.

According to a recent study, it takes an average of 12 years for a drug to travel from the research lab to the patient. Barely five in 5,000 of the drugs that initiate preclinical testing ever make it to human testing and just one of these five is ever approved for human usage. Furthermore, on average, it will cost a company US $359 million to develop a new drug from the research lab to the patient.

Some of the implemented cases:

1. IBM’s Watson for Health: It was created to help solve some of the world's most crucial health challenges through data, analytics, and AI. By combining human experts with augmented intelligence, Watson assists health professionals and researchers around the world to translate data and knowledge into insights so they can make more informed decisions about care in a number of hospitals and health organizations. It offers a two-way dialog with evidence-based suggestions for treatment. This represents the first practical application of AI in a clinical setting.

2. Google’s DeepMind Health: DeepMind is the world leader in artificial intelligence research and its application for positive impact. It is working in partnership with clinicians, researchers, and patients to solve real-world healthcare problems. The technology merges machine learning and systems neuroscience to build powerful general-purpose learning algorithms into neural networks that mimic the human brain.

3. Microsoft’s Hanover Project: It aspires to advance the state of the art of machine reading for accelerating CaaS in precision medicine. They focus on three respective areas:

  • Molecular tumor board- It is a gathering where physicians who looks after cancer patients and other providers, meet to discuss specific patients and advise one another on the best treatment plans.
  • Real-world evidence- In healthcare, it means evidence obtained from real-world data, which are observational data obtained outside the context of randomized controlled trials (RCTs) and generated during routine clinical practice.
  • Clinical trial matching- These services facilitate patient enrollment in clinical trials by identifying potential representatives for interested patients.

Conclusion

Artificial Intelligence has taken the healthcare industry by storm and it seems like there is no looking back. In the past two decades, the use of technology in the healthcare industry has increased substantially. Patient records are now stored and shared electronically. Doctors can see patients remotely, diagnose their problems and give their prescriptions. Healthtech startups and established medical companies are creating cloud and mobile based solutions for patients, doctors, hospitals, drugs and medicine companies. Electronic Health Record (EHR), Automation suites for hospitals and clinics, OPD and pharmacy management softwares, Doctor’s aggregation platforms are some of the common examples of healthcare applications.

As the world is furnishing their hands on AI, so we thought of bringing our foot forward. Now, Jellyfish Technologies is one of the leading healthcare application development companies. We provide healthcare application development services and healthcare application developers for hire. We understand the technology, healthcare domain, user expectations and have the experience of delivering healthcare products. We customize our services according to the requirements of our clients which means we deliver end-to-end solutions or individual features. If you are looking for some healthcare software development services, feel free to contact us.

Completed Projects

Patra
Patra
An insurance aggregation platform
Heffernan Insurance
Heffernan Insurance
An insurance brokering platform