The rise of artificial intelligence is obvious. As we can see, AI changes our lives, from its app on voice assistants like Siri, Google Assistance and Alexa to supply chain, retail, manufacturing, enterprise mobility, autonomous cars and much more. More Despite advances in other industries and sectors, AI has virtually transformed health care and has impacted thousands of people and improved their lives.
Use cases of artificial intelligence in health care — there are many.
Today, many technology vendors, such as mobile app development companies, have begun to harness the power of AI by creating apps that can seriously impact healthcare.
These companies have successfully implemented many applications that help medical companies around the world using the leading tech giant platforms such as Google, Microsoft, Apple, IBM, and Amazon.
There are tremendous health apps available in the App Store and Play Store. According to Statista, by the end of 2019, smartphone users will reach 7 2.7 billion worldwide.
And, all the above-mentioned voice assistants. The combination of voice assistants and healthcare apps helps users deliver medication alerts, educational materials, and more. This level of personal help can help people live healthier lives without human care.
Today, the majority relies on health care machines. Whether it is for a routine inspection or important operations, machines that help doctors to help their patients live a healthier life have become the way of doctors. Most maximum of the period, computers and equipment work strongly, but they also need maintenance and repair.
I will help the technician to detect the fault in advance rather than fail the machines in times of emergency. Also, AI can help surgeons perform surgical procedures by providing information about the body part of the patient who needs surgery. It supports doctors to generate highly personalized treatments for their patients. For example, IBM Watson’s AI has the potential to process structured and unstructured patient data and demonstrate evidence-based treatment options for cancer patients.
Follow-ups are an essential part of health care, especially if the patient suffers from a chronic illness. In the vast majority of hospitals and clinics, doctors offer regular follow-up or life coaching as part of their treatment.
However, such services are expensive, and not every patient can afford it. But, unique wearable technology and an AI-enabled mobile app can help solve the problem. It captures data coming from a wearable device and also addresses the necessary medications, exercises, activities and habits that lead to a healthy life.
4. Healthcare bots
It has become clear that chatbots will soon replace phone-based customer service. Chatbots in healthcare can help patients solve their problems faster than traditional counseling sessions with health care providers. Bots support the sufferer to catalog a follow-up immediately.
Also, bots can help patients pay their hospital bills in a few clicks. Bots help healthcare providers address and improve 24/7 customer service by speeding up every service request, from scheduling appointments to paying bills.
Medical imaging has revolutionized the delivery of health care services by providing a better picture of various conflicts. But sometimes, the anomalies are so small that the human eye is unable to detect it. Failure of doctors to detect such an abnormality can cost the patient life. AI can help identify such anomalies that the human eye cannot detect.
We have seen health professionals browsing through various documents when diagnosing patients. If only one detail is missing, the doctor dies.
Natural Language Processing (NLP) supports doctors to separate important information from long reports. The NLP not only allows physicians to filter out relevant information but also helps them understand the information so that doctors can easily access users’ information.
He is a billion-dollar business today. Expensive medicines are often the result of rigorous research and development. AI can help reduce medical costs by reducing the cost of RANDD. In 2014, Atomic launched an AI-powered program to find alternative drugs for the Ebola virus. The program was discovered in a single day for drugs that could potentially reduce the effects of Ebola. This has reduced RANDD work.
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There is much confidential information in hospitals and clinics. This information requires protection from cyber attacks. Even the smallest data leak can cause significant harm to patients and health centers/professionals. Hospital cybersecurity teams may not be able to detect every threat to their systems. AI helps cybersecurity teams to identify every potential problem or threat. The algorithm can rank them based on their preference and display them to the team.
Based on Gibson Dunn, the entire amount of recovery paid by the federal government under the FCA is 9 2.9 billion in fiscal 2018. This amount increased compared to the previous fiscal year. AI can help prevent these pitfalls by learning from past events. The machine learning algorithm searches for fraudulent claims in advance and sends them alerts as soon as the relevant person is identified.
Unnecessary hospital admissions have made many people indebted. However, new AI-based systems can help patients diagnose workflow inefficiencies and mistakes in treatment.