Artificial intelligence (AI) is changing the way we work and live, creating new opportunities constantly. Especially in the field of healthcare, AI plays an important role, bringing continuous improvements. The AI market in healthcare is growing rapidly, from $11 billion in 2021 to a projected $188 billion in 2030, according to Statista.


Artificial Intelligence supports medical teams in accurately diagnosing, predicting patient outcomes, monitoring pathologies and personalizing treatment plans. At the same time, avoid human errors that affect patient safety. This not only marks a significant advancement in the medical field but also creates a better experience for patients.

How can artificial intelligence impact the healthcare sector?

Artificial Intelligence (AI) is having a major impact on the healthcare industry, driven by advances in Machine Learning algorithms, better access to data, and the power of software. hardware, and the popularity of 5G technology.

AI and Machine Learning technology is capable of processing large amounts of health data from sources such as electronic health records, clinical research, and genetic information. They have the ability to analyze and interpret data much more quickly than humans can. This not only enhances performance but also aids in accurate and timely diagnosis.

According to CB Insights, more than 86% of healthcare organizations, life sciences companies and healthcare technology providers use artificial intelligence technology. CB Insights estimates companies will spend an average of $54 million on AI projects in 2020, and Frost & Sullivan expects AI to generate more than $150 billion in savings for the healthcare industry by 2025.

Some practical applications of AI in the healthcare field

Artificial intelligence has been widely applied in the healthcare field, especially in diagnostic, treatment, and product development processes. These applications also include personalized patient health monitoring and care.

AI supports disease diagnosis

Artificial Intelligence (AI) technology is being significantly enhanced in the diagnostic support process. Advanced AI algorithms are capable of analyzing complex medical data and images, helping to detect diseases early, especially in cancer diagnosis, helping to get quick, effective and accurate results.

Deep Learning, an AI technique, as an illustrative example, has demonstrated its ability to interpret X-ray images to identify abnormalities such as tumors, fractures, or lesions, with even greater accuracy. even comparable or superior to human experts.

In addition, AI diagnostic tools support doctors by analyzing a variety of patient data, from symptoms, medical history to genetic information, to provide accurate diagnosis suggestions. This not only speeds up the diagnostic process but also minimizes human error, allowing doctors to focus more on patient care.

IBM’s Watson has integrated machine learning to help classify tumors by genetic type, helping doctors determine the most effective treatment for each patient. This application of Artificial Intelligence has brought about a significant improvement in the clinical trial screening process. Screening time was reduced by 78%, from 1 hour 50 minutes to 24 minutes. Diagnosis results also achieved high concordance rates, up to 96% for lung cancer, 81% for colon cancer, and 93% for rectal cancer cases. These achievements are demonstrated through research at the Manipal Comprehensive Cancer Center in Bangalore, India.

Chatbot supports customer service

AI-powered chatbots enable healthcare delivery to patients 24/7. These smart chatbots are programmed to understand and answer patient questions, provide medical information, make appointments, and even support medication reminders.

Chatbots can perform a preliminary assessment of a patient’s health condition, gathering necessary information before consultation, helping to simplify the process for both patients and healthcare providers. Chatbots’ ability to operate continuously and handle multiple requests simultaneously improves the healthcare experience for patients, ensuring they receive support whenever needed.

A Chatbot application for the healthcare sector: The World Health Organization (WHO) launched an interactive chatbot that can provide accurate information about Covid-19 in many languages. The chatbot also allows users to test their knowledge about this dangerous virus through interactive questions. Through the “Frequently Asked Questions” system, chatbots help users understand the nature and evolution of the epidemic, thereby enhancing knowledge to help protect their own health and that of the community.

AI enhances clinical decision making

Artificial intelligence (AI), especially Natural Language Processing (NLP) technology, is enriching clinical decision making significantly. NLP, a subfield of AI that focuses on the interaction between computers and humans, is becoming an important tool in interpreting free-text notes, unstructured data in health records. electronics and medical documents. It gives clinicians the ability to draw insights from this vast amount of information in a flexible way.

Furthermore, NLP provides predictive analytics using historical patient data, helping clinicians assess risks and complications in advance, and assisting them in making informed decisions. alert way. For example, NLP can predict a patient’s likelihood of readmission based on identifying patterns in medical history. This helps personalize treatment plans and preventative measures, thereby improving patient outcomes and enhancing the overall performance of the healthcare system.

In short, AI and NLP are reshaping clinical decision making by shifting from a subjective, experience-based model to an objective, data-driven model.


Artificial intelligence technology is constantly developing, bringing increasingly diverse benefits and applications in life and the healthcare field. The expansion of this application brings many development opportunities, but success requires active cooperation from relevant facilities and units. To modernize the healthcare industry and transform it into the technological age, individuals and organizations in the industry need to leverage advanced technology, especially from artificial intelligence, to provide a healthcare service. efficient and convenient.

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