5 examples of uses of artificial intelligence in medicine

Written By Mark

In light of the rapid development witnessed by the global healthcare sector, it has become noticeable that there is great interest in integrating artificial intelligence technologies as an effective and pioneering tool in the sector, which contributes to changing the features of care provided by medical specialists to patients.

Despite the continued growth in the use of these advanced technologies, we have seen many cases in which artificial intelligence has proven to be an effective contribution to enhancing accuracy, efficiency, and personalized care.

When integrating artificial intelligence into various functions within the field of medical care, the goal is not only to create independent tools that can replace practicing doctors, but also to provide tools that help doctors improve their processes to ensure maximum levels of efficiency and provide personalized, individualized care to all patients.

Given the widespread shortage of doctors globally, artificial intelligence has contributed to speeding up operations and delegating tasks to tools and platforms that rely on this technology in a way that has allowed medical practitioners more time to devote to their daily tasks.

The following innovations illustrate how artificial intelligence is transforming healthcare. Its use in medicine makes work more efficient, precise, and often personalized.

Help with diagnosis

Artificial intelligence systems are used to analyze medical images, such as X-ray images or magnetic resonance imaging, and these tools help diagnose various medical conditions such as cancerous tumors, retinal diseases, pneumonia, and others.

There are also some examples of AI techniques helping to diagnose heart disease, as deep learning algorithms are used to diagnose heart attacks in the same way that cardiologists use. In other cases, AI networks are trained using clinical images to provide assistance in diagnosing skin diseases and accurately classifying skin lesions.

Studies have proven the ability of artificial intelligence to provide performance that is comparable to or superior to that of human experts in its diagnostic capabilities, in addition to its superiority in accuracy and speed.

Robotic-assisted surgery

Another emerging use of AI in medical care is its ability to help support appropriate surgical decision-making before, after, and even during surgeries. This aspect is achieved by integrating information from a range of different data sources, such as surgical instructions and research insights.

In some cases, surgical robots equipped with artificial intelligence capabilities can help surgeons perform operations with greater precision, and the minimally invasive options offered by robotic-assisted surgery provide many benefits to patients, including shorter hospital stays, earlier recovery, and significantly reduced pain severity. general.

Medical education and training

Medical colleges have begun to integrate various artificial intelligence tools into their teaching programs, as these technologies can be used in medical education at 3 levels:

  • Learner-oriented AI, which includes the tools students use to receive and understand new information.
  • AI for teachers that allows teachers to reduce their workload, gain useful insights about students, and integrate new innovations into their classrooms.
  • Enterprise-oriented artificial intelligence that helps in making decisions related to the management of colleges and their educational programs.

In practical terms, integrating artificial intelligence tools into medical education includes the use of artificial intelligence-based platforms that can adapt to individual learning styles, speeds, and needs. Students can also experience AI-powered simulations and virtual reality environments, which enable them to practice surgical procedures, diagnose diseases, or participate in clinical scenarios in a safe and controlled environment.

Artificial intelligence can also contribute to improving curricula, helping medical teachers design dynamic and modern curricula and modify teaching methodologies based on data-driven insights.

A doctor is holding a DNA strand in his hands.  Concept of scientific discovery and exploration

Natural language processing for healthcare records

Artificial intelligence-driven natural language processing (AI-driven NPL) systems are proven to transform how we use healthcare records. By analyzing and extracting valuable information from unstructured medical records, these systems can dramatically improve the efficiency of coding, billing, and data management.

Natural language processing systems based on artificial intelligence technologies help transform text data into structured, usable and analyzable information, help automate billing and coding processes, improve accuracy, reduce errors, and speed up administrative tasks. AI can also aid clinical decision making by providing practitioners with important data, flagging potential problems, and suggesting possible treatment options.


The use of artificial intelligence has revolutionized genomics by enhancing the capabilities of analyzing, interpreting and applying biological data. Artificial intelligence algorithms help determine the genome sequence faster and more accurately than human experts, and identify patterns, mutations and differences in DNA sequences, which helps doctors understand diseases and genetic traits.

Machine learning algorithms can predict disease risk based on an individual’s genetic makeup, while also predicting how a person will respond to certain medications or treatments. The ability to design treatment plans based on a patient’s genetic predisposition is a revolutionary shift in the field of genomics.

In conclusion, we can say that integrating artificial intelligence into health care has led to a radical change in the way we deal with the issue of health and treat patients. By leveraging analytics and data-driven capabilities, AI has the potential to improve outcomes and develop more efficient patient-centered care.

As we continue to discover new capabilities of artificial intelligence, these technologies will witness continuous development in the medical and healthcare sector, starting from changing how diseases are diagnosed and ending with providing pioneering treatments tailored to patients of all conditions.