According to the selected method, which was mixed, a survey was conducted to find out
how the experience of the people in Bogota was regarding AI and how it is used in their
daily life, in addition to this, if they consider that AI will be useful in the future to perform
surgical procedures where it increases the probability of effectiveness of the procedure, if
that is not favorable to integrate it in the field of health, what are its pros and cons in all
areas of health. Artificial intelligence (AI) has emerged as a revolutionary tool in the field
of medicine, particularly in biomedical engineering, where its application promises to
optimize diagnoses and personalized treatments. The implementation of AI in medicine has
not only transformed the way medical data is processed and analyzed, but has also opened
up new possibilities for the early detection and effective treatment of various diseases. In
the context of Bogota, a survey of healthcare professionals revealed that, although there is a
certain degree of familiarity with AI, its use is still limited, suggesting an area of
opportunity for the development of technologies that are more accessible and
understandable to professionals in the sector. The majority of respondents came from the
nursing and education sector, indicating a growing interest in AI in various areas of
healthcare. Despite limited direct experience with AI tools, professionals express a
willingness to learn and adapt to these new technologies, recognizing their potential to
improve clinical outcomes. This study seeks to explore how AI can be used to improve
diagnostic accuracy and personalize medical treatments in the future.
The results obtained in the survey are fundamental to understanding the current applications
of artificial intelligence in the interpretation of medical images, such as X-rays, magnetic
resonance imaging and computed tomography. Although a significant portion of the
professionals surveyed have not used AI tools in their practice, those who have do so
highlight their ability to improve the accuracy and speed of image analysis. AI is presented
as a promising solution for reducing diagnostic time and minimizing human error, which is
crucial in healthcare where quick and accurate decisions can save lives. As more healthcare
professionals in Bogota become familiar with these tools, AI is expected to become more
widely integrated into medical image interpretation. This subtopic reveals the importance of
training healthcare professionals in the use of emerging technologies, which could lead to a
wider and more effective adoption of AI in diagnostic imaging.
The effectiveness of machine learning algorithms in identifying specific diseases, such as
cancer and cardiovascular disease, is another key subtopic explored in this research. The
data obtained show that, although most respondents have not directly used AI tools, they
recognize the potential of these technologies to improve the detection of critical diseases.
Machine learning algorithms can analyze large volumes of medical data to identify patterns
that might go unnoticed by humans, which is particularly useful in the early diagnosis of
diseases such as cancer. Furthermore, the ability of these algorithms to learn and improve
over time suggests that their effectiveness will only increase as they are further developed
and implemented in the clinical setting. It is therefore crucial that healthcare professionals
in Bogota become familiar with these advances and be prepared to integrate them into their
daily practice, which would contribute significantly to the improvement of medical
diagnoses.
Case studies and recent research findings on AI-assisted diagnosis provide a clear picture of
how these technologies are being implemented and the benefits they offer. The survey
results indicate that healthcare professionals in Bogota welcome the possibility of
integrating AI into their clinical practices, although lack of specific training remains a
barrier. Case studies show that AI can reduce the rate of misdiagnosis and improve
accuracy in the detection of complex diseases, which is especially relevant in situations
where early diagnosis is crucial for patient survival. In addition, recent research results
confirm that AI can play a vital role in personalizing treatments, tailoring therapies to the
individual needs of each patient based on their unique characteristics. This analysis
underscores the need to continue researching and promoting the use of AI in medicine to
maximize its benefits in clinical practice.
In light of the results obtained, it can be concluded that artificial intelligence will
significantly influence biomedical engineering to optimize personalized diagnoses and
treatments in the future. AI offers the ability to analyze and process large amounts of
medical data with an accuracy and speed that surpasses human capabilities, which is
essential to improve the quality and efficiency of medical care. Healthcare professionals
surveyed in Bogota recognize the potential of AI, but also highlight the need for further
training and familiarization with these technologies to maximize their impact. With the
continued development of machine learning algorithms and their application in the
diagnosis and treatment of diseases, AI is likely to become an indispensable tool in daily
clinical practice. Thus, biomedical engineering is uniquely positioned to lead the
integration of AI into the healthcare system, promoting advances that benefit both patients
and professionals.
In conclusion, artificial intelligence is set to transform biomedical engineering and, by
extension, modern medicine, optimizing personalized diagnoses and treatments. Despite the
current lack of familiarity with AI tools among many healthcare professionals in Bogota,
there is widespread recognition of their potential to improve the accuracy and efficiency of
medical diagnoses. Analysis of current applications, the efficacy of machine learning
algorithms, and recent case studies underscore AI's ability to identify critical diseases
earlier and more accurately, personalizing treatments based on individual patient needs. To
take full advantage of these benefits, an integrated approach is needed, including ongoing
training for healthcare professionals and the development of accessible and effective
technologies. Ultimately, AI has the potential to significantly improve health outcomes and
quality of life for patients, ushering in a new era in personalized medicine.
Anexos
