2024-05-12 15:55:21
In the medical field, artificial intelligence has increasingly gained ground in the diagnosis and treatment of various diseases. One of the most promising fields is the use of artificial intelligence (AI) in the diagnosis and treatment of breast cancer, one of the main causes of mortality among women in all countries.
With the use of large databases (big data), AI can develop deep learning algorithms that extraordinarily allow the discovery of medical images that can detect breast cancer early and effectively. These algorithms achieve this efficiency by training with thousands of mammograms, learning to detect microlesions and suspicious calcifications that even the most experienced radiologists may find difficult to identify.
By using AI in the detection of breast cancer, we add a second opinion to the assessment of the doctor who observes the radiological image, which increases the level of care in early diagnosis, mainly of lesions that might potentially turn out to be malignant. This undoubtedly helps the patient to feel calmer, especially in those cases where radiological images are uncertain.
Without a doubt, AI will be useful not only in the diagnosis of breast cancer, but in democratizing public health in general by providing more precise diagnoses where access to specialists is not available and where AI can be a reliable tool as an early detection test, guidance of general practitioners in decision making and in the timely referral of patients to specialized centres.
However, we must be careful to ensure that the data on which these systems were trained has included diverse demographic groups to ensure the quality and accuracy of the diagnosis. It is therefore important that these systems are inclusive and fair.
Beyond early detection through mammography, artificial intelligence can be extended to histopathological and molecular diagnosis of breast cancer. Today, imaging of breast tissue rivals and even surpasses that of human pathologists in some cases. AI algorithms are capable of distinguishing between tumor cells, identifying growth patterns and predicting tumor aggressiveness based on microscopic characteristics.
This information is important when it comes to providing precision and personalized treatment. The precise characterization of the tumor type from a molecular point of view can determine the choice of therapy, so that the treatments can be more specific and, of course, effective. The expression of certain hormone receptors or genetic factors can help determine the response to hormone treatments, chemotherapy or targeted therapies. AI plays a very important role in radiotherapy planning, reducing dose, exposure and damage to adjacent tissue. In addition, AI intervenes in monitoring the response to treatment and allows therapies to be redirected according to the evolution of the tumor.
I believe in the possibilities of artificial intelligence in medicine, but I also believe that we face unimagined challenges in medical practice due to its use from an ethical point of view. There are questions regarding transparency in the systems, interpretation of recommendations and security for patient data.
The future of diseases such as breast cancer in terms of diagnosis and treatment with the help of artificial intelligence opens up a number of possibilities. We must learn to live with these technologies and recognize that no matter how advanced they are, they must always serve as a tool in the hands of doctors and not as a substitute for the experience and humanism essential to medical practice.
1715537065
#Talking #medicine #health #progress #artificial #intelligence #breast #cancer #Sol #Tampico