Currently, Artificial Intelligence (AI) has enormous potential in medicine, fundamentally to transform the way in which medical care is delivered. In diagnosis, this is one of the key areas in which this technology is used the most. It is especially useful in cases where diagnosis can be difficult.
In medicine, Artificial Intelligence has proven to be a very important tool. Through the use of algorithms and data analysis, specific patterns and characteristics can be identified in medical images, laboratory tests, and patient records, thus helping to identify diseases and appropriate treatments.
Artificial Intelligence helps to identify some diseases
Likewise, it has demonstrated its effectiveness in the identification of some diseases such as melanoma, breast cancer, disease identification, pneumonia or even COVID-19. In addition, technologies can help predict the course of chronic diseases, such as diabetes and heart disease, allowing for earlier and more effective treatment.
Artificial Intelligence can be particularly useful in diagnosing rare diseases, which can be difficult to identify as clinicians may not have seen enough cases to recognize patterns. AI algorithms can be trained on data from patients with rare diseases and compared with data from patients without the disease, helping to identify features that may be indicative of that pathology.
Houdini’s algorithm is one of the most famous
What is clear is that the use of Artificial Intelligence in health brings a great possibility of transforming the way in which medical diagnoses are made. And it is that, currently, a medical professional needs an average of 8 interactions to reach a diagnosis. With these data, the Houdini algorithm was built, named after the greatest magician of all time: Harry Houdini.
This algorithm is used in the following way: the evolution of the patient is completed by typing their symptoms and other information and clicking on the ICD option. Afterwards, you will have to press the “Surprise me” option and then just wait for the “magic” to happen. The algorithm reads what has already been reported and will suggest possible CIE codes to add to the history.