Resumen

MA, Lorenzo-Ramírez et al. Computer aided diagnosis in mammograms for breast cancer screening. Rev. Fac. Med. Hum. [online]. 2024, vol.24, n.4, pp.159-179.  Epub 31-Oct-2024. ISSN 1814-5469.  http://dx.doi.org/10.25176/rfmh.v24i4.6554.

Securing access to quality healthcare services, particularly for essential screening tests like mammograms, presents a significant challenge in developing nations. Women often encounter extensive waiting periods, sometimes extending for several months, to undergo a mammogram. This crucial test plays a pivotal role in the early detection of breast cancer, where timely diagnosis is crucial for effective treatment and enhanced survival prospects. Delays in obtaining a diagnosis can significantly impact the health of patients and their well-being, underscoring the importance of early detection. Compounding these challenges is the scarcity of resources and healthcare professionals, which hinders swift and efficient access to preventive care. Such constraints underscore the pressing need for improvements in the interpretation of radiological studies and a reduction in the workload of imaging specialists. These improvements would not only optimize interdisciplinary collaboration but also enhance patient care, particularly for critical screenings like mammograms.

Palabras clave : Assited Diagnosis,Medigal Image Analysis; Artificial Intelligence in Medicine (Source: MESH-NLM).

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