Artificial intelligence in medicine

Artificial intelligence in medicine: musculoskeletal disorders

When we talk about the applications of artificial intelligence in medicine, we have to mention the different specialties that can benefit from its tools. We have already mentioned the case of AI and neurology, but we could do so for many other branches in which its algorithms have made significant progress.

Today it is the turn of musculoskeletal disorders. We are going to see how artificial intelligence contributes to their diagnosis and assessment and we will mention some concrete cases that you can find in our AI marketplace.

Medicine and artificial intelligence for musculoskeletal disorders

If there is one thing that we can highlight when talking about medicine and artificial intelligence, it is the elimination of the inter-observer difference. Even if a diagnosis is never made without the intervention of a doctor, there is no need for the doctor to start from scratch in identifying the problem.

With many of the algorithms in our marketplace, we obtain reports with relevant data that have been extracted by post-processing the medical image. In fact, we could say that we quantify the problem in order to make an objective assessment.

Thus, we move from the analysis of a medical image, from which multiple human errors could arise, to the observation of a report that already collects the key information for diagnosis and decision making.

Comparison and accuracy

An AI algorithm relies on a large amount of data against which it compares what is observed on the medical image. In this way, it starts from what is considered normal to pick up variations and thus detect possible diseases. Then, of course, it is up to the doctor to validate the conclusions in order to make a final diagnosis.

This can be seen very easily by using ImageBiopsy Lab’s algorithm for paediatric assessment of bone age and development as an example. Based on what is considered a normal growth at a given age, it is able to detect from a medical image whether there is an abnormality.

Early diagnosis

In addition, some diseases or lesions may be asymptomatic and difficult to detect. Artificial intelligence picks up details that can easily go unnoticed by the human eye.

Thus, what we are doing by post-processing a medical image with a certain algorithm is helping the doctor in his work and contributing to obtaining an early and accurate diagnosis. At the end of the day, when it comes to making medical decisions, saving time is always a plus point.

Discover our AI algorithms for MSK at Alma AI MARKETPLACE

Now that we’ve seen the benefits of AI for MSK, let’s mention some real-world uses you’ll find in our Alma AI MARKETPLACE:

  • Determine bone age and detect possible growth abnormalities.
  • Measure leg geometry to detect discrepancies, deformities and even degenerative diseases.
  • Analyse and quantify hip positioning to detect related diseases and assess their progression.
  • Detect signs of knee osteoarthritis and other inflammatory or degenerative diseases affecting the joints.
  • Work with 2D or 3D bone microarchitecture to determine its quality and even observe signs of possible osteoporosis.
  • Easily analyse the cartilage thickness and volume to detect possible injuries.

These are the possibilities that Quibim and ImageBiopsy Lab offer in the field of musculoskeletal disorders. But do you want to continue exploring the possibilities of artificial intelligence in medicine? Go to our marketplace and contact us to solve all your doubts.