Artificial Intelligence for the world of Medicine

Source: CIDIF

The areas where Artificial Intelligence (AI) can be applied in medicine are wide, ranging from robotic consulting physicians to diagnostic systems using image processing or Computer Vision.

It is said that Medical Artificial Intelligence allows the development of the well-known 4Ps of medicine (Prediction, Prevention, Personalization and Participation) and therefore has the ability to grant greater autonomy to patients.

One field where work with AI has recently started is Gastroenterology. This discipline normally presents a certain difficulty and complexity in the diagnosis, which is why it benefits from the use of Deep Learning algorithms and Neural Network Convolutions to detect abnormal structures, such as colon polyps or gastric cancer.

Another example of the application of AI is found in the diagnosis and treatment of rare diseases. The pharmaceutical company Bayer has teamed up with technology partners to determine the diagnosis of an individual through data on symptoms, causes, test results and images, and in turn, create new drugs through the use of Machine Learning techniques.

Finally, the use of Artificial Intelligence in the planning and monitoring of a surgical intervention is growing. Surgical robots may be able to analyze a large amount of data prior to the operation and guide the surgeon during the intervention in order to favor decision-making that results in a shorter patient stay.

One of the great barriers to the adoption of AI in medicine is the fear of dehumanization. This is largely due to the administrative burden imposed on doctors. However, modern technologies such as ACI and Natural Language Processing seek to solve the administrative burden issue and help doctors focus exclusively on patients.

Although there is a latent fear that AI could replace doctors in the future, the general opinion is that it is best to consider it as a tool with the potential to complement the intelligence of the specialist. What do you think?

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