AI and physiotherapy may be a good example of the fact that both are required and that the human factor is the predominant one, and has been so for decades.
There are already many examples of a measured, conscious and mutual learning use for both professionals and their teams. Thus becoming a perfect trifecta for the early recovery of patients.
Based on the immersion experience carried out by the specialized center of physiotherapy EcijaIn this article, we will be able to describe how at the moment (and surely with an extension of at least 07 years with its required improvements/upgrades), AI and physiotherapy have become a new hope for comprehensive rehabilitation.
AI and physiotherapy
Artificial intelligence can already analyze medical images and patient data, helping physiotherapists to make more accurate and faster assisted diagnoses, allowing therapies to be initiated in a shorter time than previous ones - which were already fast in the last decade.
Artificial intelligence algorithms can analyze movement patterns and create personalized rehabilitation programs, doubly adapted to the specific needs of each patient and this will allow the professional to apply it, explain it and humanize it.
AI and physiotherapy are driving medical companies - and some that are not, but wish to leverage their technology in the area - to create wearable devices (those electronic devices worn on the human body that interact with other devices to transmit or collect some types of data).
We have already seen these state-of-the-art devices neatly equipped with AI, which track patient progress and/or alert physical therapists to any significant changes in real time.
With proper analysis of historical data, ia's can help physical therapists identify which treatments are most effective for certain types of injuries, taking into account weight, age, site of impact and even the psychological shock left on the patient.
AI and physiotherapy are undermining the misgivings or doubts of those more skeptical or who believe that recovery is something "self-taught"; the best way has been the reaction of virtual environments or simulations for the practice of skills and movements before the patient performs them in real life.
This type of knowledge has eliminated doubts and is already counted as a decrease in the rate of abandonment of physiotherapy treatments. A positive point for humanity.
A variety of algorithms have been shown to identify patterns that could predispose a patient to injury, facilitating preventive interventions; this has helped in the planning of sports strategies as well as industrial hygiene and safety in companies and/or constructions.
In the next few years (speaking in a way to allow time for improvements coming from technological and human trial and error), AI and physiotherapy will have robots and automated systems that can assist in physical therapies, offering additional support in patient movement and loading.
This does not mean displacing humans, since the candor of each person is irreplaceable; this will only speed up care and reduce delays due to crowding in private health centers, which are currently very few, with these automatons we will be able to speak of absolute zero delays.
AI tools can help clinics manage resources and schedule appointments more efficiently, as well as analyze the effectiveness of physical therapy protocols by comparing results from different groups of patients, statistics that will be presented to the public and will further shield the trust placed in this or that specialized physical therapy center.
AI and physiotherapy are already being advanced and with effectiveness that transcends physical barriers because it has facilitated sessions given by remote physiotherapists, allowing for follow-up and counseling. in real time without detracting from professionalism and quality, opening up new possibilities for income and progress evaluation.
