Diagnosing the cancer of the mother in a timely manner allows to decrease the mortality and the mammography is the most effective method to detect it in a timely manner. Sin embargo, para lograr este objetivo se requiere la mammography mammographie annual forma in toda la population de riesgo, que son mujeres mayores de 40 años. This is a great challenge at the level of public health in our country, because it requires the analysis of a large number of mammographic examinations by specialized professionals, in order to detect the examinations suspected of malignancy in the shortest possible time.
To contribute to this purpose, researchers from the Faculty of Engineering and Medicine of the University of Valparaíso in conjunction with the Centro Metropolitano de Imagenología Mammaria (CMIM) of the Servicio de Salud Metropolitano Sur and the company Crecer Salud develop a system of artificial intelligence called mamAI para el apoyo en el diagnosis y priorización de ámenes mammographics. This initiative is funded by the National Agency for Research and Development ANID through a FONDEF project.
E-Dr. Julio Sotelo, expert in Artificial Intelligence and academician of Civil Biomedical Engineering at the University of Valparaíso points out that “the system mamAI will allow support for the work of medical technologists and medical radiologists in the diagnosis of breast cancer”.
Currently, breast cancer is the most common cancer among women worldwide, and even though the chances of getting sick can be similar in developed countries and developing countries, there are social inequalities in the opportunity for timely diagnosis, which relacionan con un aumento de la tasa de mortality en regiones con menores recursos económicos y difficulidad de acceso a la salud.
This problem has consequences not only at the level of epidemiological indicators, but also has a profound impact on the physical and psychological health of those who live, their families and their social environment. In the last few years, an increase in this disease has been observed in women of younger ages than usual.
Scarlett Lever, academician of Civil Biomedical Engineering at the Universidad de Valparaíso explains that “mother’s cancer is not only an illness, but it becomes a problem that we must worry about as a country, considering its effects on public health and impact económico que produce la detection tardía”.
According to Dra. Steren Chabert, también de academica de academica de Ingeniería Civil Biomédica UV, “uno de los grandes desafícios pendientes es lograr la detección del cáncer en etapa temprana, ya que en sus etapas iniciales el cáncer de mamma no suele yete symptoms y es precisely en este estado que un diagnosis y tratamiento opportuno permitiría diminuir las complicaciones y la mortality por esta causa”.
Meanwhile, the specialist in mammography Pamela Illéscas, student of the Doctorate in Sciences majoring in Biophysics and Computational Biology, highlights that “the system mamAI is a great initiative that will help health professionals in the diagnosis and prioritization of examinations, to decrease the tiempos desde que comisenza la enfermedade hasta que es detectedtada, lo que en el cáncer de mamma significada la posibilidad una major efectividad de los tratamientos y una mejor calidad vida a futuro de la afectada”.
Meanwhile, for Dr. Rodrigo Salas, director of the project, “Artificial Intelligence will contribute to detecting potential findings early in the screening mammograms that women perform regularly.”
La Dra. Claudia Díaz, medical radiologist and expert in mammography, emphasizes that “due to the delays generated by the pandemic, the incidence and mortality of this cause could exceed the forecasts of the WHO, which estimated an annual mortality of 2,600 cases in 2040 annuals During 2020, 60% fewer mammograms were performed than usual in Chile, so a small number of patients with tumors of up to 3-4 cm are currently being diagnosed.”
“Our region is second in the country in terms of maternal cancer mortality. Por eso, la motivation de la Universidad de Valparaíso es aportar desde el desarrollo de una inteligenia artificial que permita nos apoyar en la priorización de revision de ámenes, con el objetivo de delantar en todo lo posible los ya tardíos diagnosticos”, he added.