Original article was published by Zoya Javed K on Artificial Intelligence on Medium
AI/ML Technology helping to improves health ??
As we see, technology is updating every day which leading the companies to adopt such technologies and organise the work culture as much as possible.
Machine learning and artificial intelligence are two most outstanding technological developments in the recent years.
A large number of organizations are adopting the ML technology for use in their services and products.
The companies strongly believe that they could address all of its customers only with a technology that can handle and process the data in a way that no human can do.
There are some exceptional companies that are making a move into machine learning and locating themselves well above other industries in the current competitive world.
Now, let’s see one of the leading company that have incorporated this technology.
You must have heard about IBM’s Watson earlier, a supercomputer that is designed to consume data at a rate faster than the human. In recent years, Watson has been adopted in several medical centers and hospitals where it is proved for diagnosing some types of cancers more efficiently than human oncologists. Watson also demonstrated its significant strength on the retail side, where it could be utilized as a servant to help customers, and in addition the hospitality industry. It was trained in such a way that it could be able to suggest treatments and diagnoses to doctors and IBM is currently offering its Watson ML technology on a license basis.
*What is artificial intelligence in medicine?
Artificial intelligence (AI) is technology patterned after the brain’s neural network sand uses multiple layers of information — including algorithms, pattern matching, rules, deep learning and cognitive computing — to learn how to understand data.
Healthcare could benefit tremendously from AI and machine learning due to the vast amounts of medical data and other types of information that health organizations collect and maintain. Machine learning could help organizations sort through the large libraries of data they may have to identify what medical data is most meaningful for problem solving and refining their care or business processes. With a deeper level of insight, they could make better decisions or explore new ideas and sources of competitive advantage.
*How do IBM use AI in medicine?
AI-enabled tools can identify meaningful relationships in raw data and has the potential to be applied in almost every field of medicine, including drug development, treatment decisions, patient care, and financial and operational decisions.
With AI, healthcare professionals could can tackle complex problems that would be difficult, time-intensive, or inefficient to address alone.AI could be a valuable resource for medical professionals, allowing them to better use their expertise and provide value across the health ecosystem.
which focused on Manipal Hospitals in India and was presented over the weekend at the American Society of Clinical Oncologists (ASCO) annual meeting in Chicago — showed that physicians on a multidisciplinary tumor board changed their treatment decisions in 13.6% of cases based on information provided by Watson for Oncology, the tech giant’s AI platform for cancer care.
Of those cases where the tumor board changed their treatment decisions and made a different recommendation, 55% of the time it was because Watson for Oncology provided more up-to-date, evidence-based information on newer treatments than what the physicians knew on their own, Nathan Levitan, M.D., chief medical officer for oncology and genomics at IBM Watson Health, told FierceHealthcare.
“We all know physicians face a nearly impossible task keeping up with all the merging literature and these physicians found the information provided by Watson for Oncology so compelling they actually changed their treatment decisions,” he said.
“The real power of leveraging AI technology is to manage a volume of information that the human brain can’t encompass at one time. Technology doesn’t tell a doctor what to do, it doesn’t make a diagnosis, it presents evidence-based treatment options to enable the doctor to be his or her best self in caring for that patient,” Levitan said.
That study was based on a multidisciplinary tumor board ‘s blinded evaluation of 1,000 breast, lung and colorectal cancer patients. The study found that decisions on cancer treatment also changed due to the AI platform providing more personalized alternatives (30%) or new insights from genotypic and phenotypic data and evolving clinical experiences (15%).
That study was among 22 scientific studies IBM Watson Health presented at ASCO this year demonstrating progress in using AI to provide clinical decision support for cancer care.
*Benefits of artificial intelligence in medicine*
AI-enabled tools can extract relevant information from large amounts of data and generate actionable insights that could be applied to many applications.
1- Surfacing treatment insights
With AI technologies, physicians could find information in unstructured medical literature to support care decisions.
2- Supporting user needs
AI can search and present data to help people find use full health information, which could lead to more informed users.
3- Identifying insights from patient data
AI tools could search structured and unstructured medical records to provide relevant patient histories.
4- Targeting similarities and patterns
AI could identify patterns and help researchers create dynamic patient cohorts for studies and clinical trials.
Role of AI in IBM-
Why is artificial intelligence in medicine important?
1- Cutting through the noise
AI could help make sense of the overwhelming amount of clinical data, medical literature, and population and utilization data to inform decisions.
2- Providing contextual relevance
AI could empower healthcare providers to see expansively by quickly interpreting billions of data points–both text and image data –to identify contextually relevant information for individual patients.
3- Reducing errors related to human fatigue
Human error is costly and human fatigue can cause errors. AI algorithms don’t suffer from fatigue, distractions or moods. They could process vast amounts of data with incredible speed and accuracy.
4- Identifying diseases more readily
AI systems could be used to spot anomalies in medical images, such as MRIs or CT scans.
5- Increasing doctor-patient engagement
AI automation allows physicians o spend less time on data entry and desk work and more time engaging with patients.
6- Reducing cost of care
AI could help determine important utilization information, such as what citizens are eligible for assistance across health and human services programs.
Those who work in healthcare fill essential roles in our society.
IBM is dedicated to enabling them to derive more insights from their data and simplify their operations, helping their organizations to become more efficient, resilient and robust institutions.
Thanks for Reading!!
*Hope this Article help you to know how MNCs Company work and get benefitted by AI/ML :-)!!!