The field of artificial intelligence in orthopaedics has been gaining more and more attention lately and is transforming the way surgeons do their job. By providing researchers with a method to extract knowledge from data in a collection of observations on humans suffering from various injuries, machine learning can drastically improve patient outcomes. The combination of machine learning and traditional surgical skills not only saves money but also enables doctors to better serve their patients. This combination allows them not only to save huge resources, too but also to make the healthcare ecosystem more sustainable.
Artificial Intelligence in Orthopaedics: Need-To-Know Facts
Machine learning is a type of artificial intelligence that allows a computer to develop rules and compliance procedures to base its decisions on without being explicitly programmed. It is a very valuable tool for doctors who face an overload of patients, as it is capable of analysing data to make its own decisions in regards to the patient and their treatment.
How is it helping doctors?
Artificial intelligence and machine learning can improve treatment for patients with musculoskeletal injuries, such as shoulder and knee injuries. These problems are very common in patients suffering from arthritis, as well as in athletes who are in active training. By using machine learning algorithms and computers to do repetitive work, doctors can focus on the patient more, which ultimately makes the health care system more effective and less expensive.
Examples of Artificial Intelligence in Orthopaedics
1 - Translate the natural human language into structured format data
Artificial intelligence can analyse the patient’s medical history, previous damages and surgeries and can use this information to create a personalised plan of treatment. This means that the AI system can understand the patient’s history and perform a series of tests to create a comprehensive and personalised plan of treatment. During the planning stage, the system will take into account the patient’s specific needs, as well as their physical limitations and their psychological state.
2 - Predict the patient’s outcome
The machine-learning algorithms that power the AI system can predict the probability of a successful treatment, thus allowing doctors to categorise patients based on their risk of re-injury. This is crucial in preventing repeat surgeries, as well as in determining where the patient will need to receive treatment.
3 - Operate as a virtual second opinion
The artificial intelligence system has the ability to provide the doctor with a second opinion about the patient in need of treatment. In this sense, the system can be used to predict if the patient will benefit from a specific treatment or if there are other treatments that might be more appropriate in that particular case.
4 - Automate the analysis of complex data
The AI system can be used to automate the analysis of complex medical data, such as CT scans and medical images. This is a major advantage that can help doctors in identifying the nature of a patient’s injury, as well as any potential weaknesses in their treatment plan.
5 - Improve treatment accuracy
Artificial intelligence has the ability to improve treatment accuracy by recommending the best treatment plan for each patient. It can take into account the patient’s needs and risk of re-injury, as well as their overall health.
As artificial intelligence becomes a more integral part of the healthcare system, machine learning algorithms will also become more common in the healthcare field. This technology offers doctors new ways to treat patients, as well as to improve their efficiency and reduce the cost of treatment. The combination of artificial intelligence with more traditional medical practices can help to create a more sophisticated healthcare system that improves patient outcomes and saves money for both the doctors and the patients.
If you want to know more about the use of AI in orthopaedics, visit ImageBiopsy Lab. We offer AI-driven software applications that enable orthopaedists and radiologists to assess and predict bone health.