- In recent times, “smart hospitals” have emerged, which are spaces where the latest technological tools are used on a daily basis.
- Computer scientist John McCarthy wrote the first definition of Artificial Intelligence in 1956.
- Some current uses of Artificial Intelligence in health range from diagnostics to the use of chatbots.
Technology has shown that there are no limits. Thanks to the development of Artificial Intelligence, great advances have been made in all areas, especially in the field of health. But it is not even a futuristic vision because many of the innovations are already applied today.
There are numerous medical cases in which positive results are largely due to the use of technological tools. These situations can range in terms of preventive care, treatment or even emergencies.
But first, what is Artificial Intelligence?
Before moving forward, it is necessary to know the definition of this term. Although it looks new, in reality it is not because the foundations were laid more than half a century ago. The person in charge of writing the first definition was the computer scientist John McCarthy in 1956.
In his case, he said that it consists of creating machines that can perform tasks that were previously believed to be human. One of the most noticeable differences is the saving of time, in addition to an increase in efficiency.
Uses of Artificial Intelligence in health
To measure the scope of Artificial Intelligence, the high-tech company specialized in software engineering services EPAM Systems shares some examples that have now become common in the day-to-day of medicine.
1. Diagnosis assisted by Artificial Intelligence: The algorithms have shown outstanding accuracy in disease detection, including the breast cancer and diabetic retinopathy. Recent research has shown that technology has outperformed medical professionals in early and accurate identification of disease, leading to more effective treatments and improved patient outcomes.
2. Precision medicine: It enables the identification of patterns and correlations in large patient data sets, helping clinicians to personalize treatments. For example, in the field of oncology, you can analyze a patient’s genetic profile and recommend specific therapies based on her unique molecular profile.
3. Disease monitoring and prediction: Algorithms can continuously analyze patient data, such as vital signs and medical records, to identify patterns and predict the risk of certain diseases or complications. This allows for early intervention and more accurate monitoring of patients’ health.
4. Surgical robotization: It has facilitated advances in robotic surgery, allowing complex procedures to be performed with greater precision and less invasiveness. Surgical systems assisted by Artificial Intelligence can improve the precision and safety of interventions, speed recovery and reduce complications.
5. Virtual assistance and medical chatbots: AI-powered chatbots can provide virtual medical advice, answer basic health questions, and offer guidance on personal care. This helps ease the workload of healthcare professionals and provides accessible information to patients quickly and reliably.
Also read:
Ranking with the 10 best “smart hospitals” in the world (2023 edition)
Ranking with the best “smart hospitals” in Latin America (2023 edition)
Will Artificial Intelligence be able to replace doctors?