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Cases of Use of Artificial Intelligence in Medicine

Posted 14 January

The future of Medicine is attached to the presence of Artificial Intelligence (AI). Specifically in the field of Machine Learning where we can find great improvements in biotech and pharma. Through our Master in Artificial Intelligence Online you can explore these possibilities and help us to develop better devices. If you want to know cases in which AI is used in medicine, just keep reading! We give you all the information here.

Disease diagnosis

Firstly, we have to know that diagnosing diseases in a correct way may take years of training for a medical professional. In fact, it is usually a time-consuming task wich may put the patients’ lives in danger. There are not enough experts for this process and the demand is usually too high. However, due to the appearance of Artificial Intelligence, automatic diagnosis of diseases and the making of diagnostics is cheaper and far more accessible.

Through the digitalization of diagnostic information, the doctor has faster access to what he or she has examined. It helps the doctor to: detect cancer or strokes by CT scans, assess the risk of heart diseases or cardiac death thanks to cardiac MRI digitalized images and electrocardiograms, classify lesions in the patient’s skin and find aspects of diabetic retinopathy through eye images.

The presence of Artificial Intelligence does not replace doctors. They help them to diagnose faster and prevent patient’s late diagnosis by highlighting lesions and cardiac patterns. This characteristic allows the doctor to interpret the signals more efficiently and to focus on those aspects. Instead of searching for each and every possibility, the doctor will arrive faster to the same conclusion.

Drug development

The analytical processes to elaborate drugs is expensive and slow. It is thanks to Machine Learning, through Artificial Intelligence, that this process can be faster and cheaper. As a result, AI is used in the four main stages in the development of drugs:

  • Identify targets: find the biological origin and the resistance of a disease. Analyse all the information and data available and therefore, identify target proteins.
  • Discover candidates: Screening potential compounds that effect the target. Predict the appropriateness of the molecule and filter them to chose those with less side effects.
  • Faster clinical trials: ensures the distribution for trial participants’ groups, helping to identify several patterns in order to separate good and bad candidates. Warns when a clinical trial hasn’t got conclusive results which allows professionals to intercede faster and save the drug development.
  • Find biomarkers to diagnose the disease: directly selects patients with and without diseases which makes the diagnosis secure. It also detects the progression of the disease. It allows the doctor to choose the correct treatment and see if the drug is working properly.

Treatment personalization

Each patient has a different reaction to drugs and treatments. Therefore, treatment personalization has a key role to increase patient’s life expectancy. Artificial Intelligence helps to identify the characteristics that indicates which response would a patient have to a certain treatment.

Hence, this accuracy is possible thanks to the reference of several similar patients. The comparison of their treatments  allows the doctor to provide a more appropriate design of a treatment plan.

Chatbots in Medicine

Chatbots are computer programs with natural language processing and technological methodology. Those programs provide conversations and answers to guide the patient and help the doctors to follow-up a patient.  Some of the most popular chatbots help people to find the cause of their symptoms. Another important function is to remind them to take their medicine and provide them a schedule.

The main purpose of this technology is to help patients and medical professionals. In the first case, bots remind the patient’s appointments and medications plans and analyse the patient’s symptoms. If it is necesarry it will book an appointment with the professional required. In the second case, bots help the hospital to deliver a patient and reduce the re-admission rate. Finally, once the patient has left the hospital, the bot helps doctors and nurses to keep in touch and facilitate the access to the patient’s information and diagnosis results. Nevertheless, we can also find bots in healthcare as a service to facilitate the organization of the patients’ booking of appointments.

Facilitation of Patient’s life: bionic arms and legs

The creation of bionic body parts as arms and legs has changed most patient’s lives. With the development of Artificial Intelligence within this field, amputees are now capable to move or grab things. Day by day,  this improvement is more effective and less mechanical.

Also, bionic legs and arms are a huge advance to amputees, technology is improving faster connecting the bionic organ with the brain by taking the signal directly from the patient’s mind.  As a result, this technology that already existed in arms, its still being studied for legs due to the problems that it may cause if a leg misbehaves.

Do you want to help to progress in the creation of bionic body parts? Are you interested in what Artificial Intelligence can offer? The University of Alcala gives you the chance to join our Master in Artificial Intelligence Online. The program has several seminars that focuse on Medicine, among other fields. If you want to become a professional, Join us and change the world’s future! Get the discount with the early access benefits and contact us if you want to know more about it, we will be happy to help you.

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