For patient care, AI not only brings high accuracy in diagnosis but also helps improve disease prediction and prevention. This technology provides big data analytics and process automation, which helps medical professionals focus on more optimal patient treatment.
Revolutionizing Healthcare: The Impact of AI on Patient Care and Diagnostics
Artificial intelligence (AI) has continuously demonstrated its important and groundbreaking role in many fields, especially in the healthcare industry. The application of AI in health care and patient care has opened new doors, bringing the potential to improve the quality of life and enhance the ability to treat patients. Let’s explore how AI affects healthcare and expectations in the current landscape.
AI applied in X-ray
AI applications with the ability to interpret radiology results can assist in detecting small changes in images that clinicians may accidentally miss. An example of this application is the Aidoc system developed to work with radiologists in diagnosing and flagging acute intracerebral hemorrhage (ICH) or brain bleeding in CT scans. The system helps radiologists and hospitals prioritize patient care, detecting acute abnormalities in the patient’s body.
AI is being widely applied in analyzing X-ray images to support disease diagnosis and treatment management.
In addition, artificial intelligence applications have also helped radiologists improve accuracy in breast cancer detection. Imaging diagnosis depends heavily on breast tissue density. If this density is thick, it can affect the doctor’s ability to diagnose, but diagnosis with AI does not.
AI supports disease diagnosis.
Errors occurring during the diagnostic process also account for a high proportion of the total number of errors in the medical field. These errors can cause many consequences for patients. Nowadays, people apply Artificial intelligence in disease diagnosis, especially in cancer diagnosis, helping to get quick, effective, and accurate results.
For example, Ultromics – developed by John Radcliffe Hospital in the UK is an AI-powered diagnostic platform that helps diagnose heart diseases more accurately than doctors. The company Optellum is developing an AI system for lung cancer diagnosis by analyzing cell clusters detected through images. Google has developed an AI system that accurately identifies signs of prostate cancer in biopsies.
Chatbot uses AI
Medical chatbots can act as a guide with voice recognition capabilities, assisting patients in self-checking their condition, comparing signs of illness, and providing users with necessary medical information. For example, Ada is an application that helps users ask about their symptoms to proactively manage their health and link with medical experts to provide care services.
AI is used to develop automated chat applications capable of interacting with patients.
In the Covid-19 epidemic worldwide, AI chatbots have been applied effectively. The Indian government has launched a Chatbot application called “MyGov Corona Helpdesk” to help users get accurate information about the COVID-19 pandemic. After more than 10 days of launching the application, there have been more than 21 million users and over 30 million registered chats.
In addition to the artificial intelligence applications mentioned above, people also use robotics in health care. In particular, in India, many hospitals use humanoid robots to support the treatment process of Covid-19 patients.
Automatic patient monitoring
Automated patient monitoring helps continuously monitor and analyze a patient’s vital signs and conditions in real-time without direct human intervention. People put the sensors and specialized devices on or near the patient. These sensors continuously collect data such as heart rate, blood pressure, oxygen levels, etc.
Automated patient monitoring helps continuously monitor and analyze a patient’s vital signs and conditions
In addition, cameras and computer vision can observe the patient’s physical state and movements. The AI system helps to recognize what is normal for each patient based on their medical history and current condition. It establishes a baseline for their key signs and behaviors.
For example, if a patient’s heart rate suddenly spikes or their oxygen levels drop below the expected range, the AI system will detect these abnormalities. It then sends an alert to the healthcare team, providing them with important information. This rapid response allows healthcare professionals to intervene and ensure the patient is comfortable.
While AI has made impressive achievements in the healthcare sector, promoting widespread acceptance and deployment of this technology still poses many challenges. Hospitals and healthcare organizations need to invest in AI systems while ensuring that medical data is used safely and securely. In the future, AI could become an important tool to assist medical professionals in diagnosing and treating diseases. The development of AI in the medical field is a crucial breakthrough in improving the quality of human life.
