Revolution use artificial intelligence health sector

Today, Artificial Intelligence in medicine is a fundamental software development as a service for the advancement of healthcare in the modern era. From streamlining the process of creating new medications, to robotics for surgical and rehabilitation use, to providing more precise diagnoses, the applications of Artificial Intelligence in the health sector are diverse and constantly evolving.
Fundamentals to understand the use of Artificial Intelligence in the health sector
Before entering the fascinating world of Artificial Intelligence (AI) applied to medicine , it is essential to understand its basic foundations. AI is based on the neural network model of the human brain, using multiple layers of information including algorithms, pattern matching, rules, deep learning, and cognitive computing to learn to understand complex data sets.
This custom enterprise software development makes it possible to identify meaningful relationships between raw data, which has immense potential in the medical field. The application of Artificial Intelligence in the healthcare sector allows medical professionals to address complex problems more quickly and effectively.
For example, Watson Health , an Artificial Intelligence system developed by IBM, is emblematic proof of this integration. Such a system can analyze millions of medical reports, patient records , clinical trials and scientific publications to discover patterns and insights hidden in the data. Watson Health has been successfully implemented in several countries, including Mexico, where it has contributed significantly to the fight against cancer since 2017, improving the precision of treatments and providing outstanding results.
Importance of Artificial Intelligence in the health sector
Without a doubt, the incorporation of AI in medicine is radically transforming healthcare in numerous aspects. Here are some of the reasons why this pairing is so relevant today:
Accurate and fast diagnoses . AI enables early and accurate identification of diseases, even those that progress rapidly, such as certain types of cancer and degenerative pathologies . An early diagnosis can make a difference in the patient's treatment and prognosis.
Control and monitoring of chronic patients . Indeed, electronic devices and AI-based monitoring systems facilitate more effective monitoring of patients with chronic conditions. This helps them manage their health and reduce the need for frequent doctor visits.
Reduction of medical workload . AI can assist healthcare professionals in interpreting data and making decisions. In fact, it relieves their workload and allows them to focus on critical clinical aspects.
Advances in drug research and development . Artificial Intelligence in the health sector accelerates medical research and the development of new medicines. This is possible thanks to the analysis of large genetic and molecular data sets, identifying therapeutic targets and optimizing the effectiveness of treatments.
Rapid response in pandemics . During the COVID-19 pandemic, AI played a crucial role in accelerating the creation of new medical treatments and vaccines . Global collaboration between researchers and AI systems allowed development times to be reduced.
Examples of Artificial Intelligence in the health sector
Obviously, Artificial Intelligence is already an indispensable tool in the medical field. Here are some notable examples of its application:
Medical and image analysis . AI is capable of rapidly processing large amounts of medical data, which is essential in the interpretation of tests such as MRIs and genetic studies.
Medical diagnoses . Certainly, AI systems are exceptionally accurate in early identification of diseases, allowing for timely and effective treatment.
Personalized treatments . Artificial Intelligence in the health sector allows the development of personalized medical treatments based on specific genomic profiles of patients, which can be more effective and with fewer side effects than conventional treatments.
Predictive Genetics . In this area, mobile applications such as Face2Gene use AI to detect rare diseases and genetic disorders by analyzing photographs and comparing them with genetic databases.
Pregnancy monitoring . AI offers a real-time view of the status of the pregnancy, reducing the need for invasive procedures to detect malformations.
Smart prosthetics . As if that were not enough, prostheses controlled by AI-based applications learn the user's movement patterns, adapting optimally to their needs.
Robotics and Artificial Intelligence in the health sector
Likewise, the integration of Artificial Intelligence (AI) and robotics in medicine is marking a significant milestone in the improvement of surgical procedures and neuromotor rehabilitation. On the one hand, these software development solutions advances have revolutionized the precision and efficiency of medical procedures. But, they have also opened new opportunities in the early detection of pathologies and the rehabilitation of patients.
AI and robotics in surgery
Surgery is a medical discipline that requires a high level of precision and experience . However, physical fatigue and loss of motor skills due to repeated procedures can affect the success of an operation. In this sense, robotics has proven to be an invaluable tool. Surgical errors are a major concern in medicine. And although there are no official statistics, estimates suggest that hundreds of thousands of surgical failures occur each year in countries such as France and the United States, some of which are fatal. Robotics helps minimize these risks by providing greater precision than human surgeons.
One of the most prominent examples of the application of robotics in surgery is the Da Vinci system developed by Intuitive Surgical . These surgical robots, which emerged in the 2000s, have performed millions of interventions in various medical specialties , such as general, urological, gynecological, cardiac, and head and neck surgery. What makes these units exceptional is their precision and ability to perform minimally invasive surgeries . This eliminates the need for large incisions and improves results.
It is important to note that surgical robots do not completely replace human surgeons. Surgeons continue to monitor and control operations from a computer console, allowing for the combination of human dexterity and robotic precision .
The role of robotics and AI in neurorehabilitation
On the other hand, neurorehabilitation is a critical branch of medicine that seeks to improve motor and neurological function in patients who have experienced brain or neurological injuries. In this field, robotics is playing a fundamental role in the evaluation and treatment of patients .
Robotic rehabilitation systems have been developed over decades, allowing them to be useful for a variety of purposes, from gait rehabilitation to recovery of arm and hand function.
Currently, robotics and Artificial Intelligence as a custom healthcare software development services in the health sector are used extensively to evaluate the motor capacity of patients. In this way, they provide personalized intensive therapies , offer assistance or resistance to movement according to needs and provide real-time feedback to both patients and therapists. Gait rehabilitation is a particularly prominent application of robotics, with positive results including improvements in patients' independence, gait quality, speed, strength, and quality of life.