Ibermática, through its Institute for Innovation, i3B, has begun an “artificial intelligence” project whose goal is to achieve an early diagnosis for breast cancer in cases of pathological disorders.

Presently, the analysis of breast cancer requires a large number of professionals with different specializations (general practitioners, gynecologists, radiologists, pathologists, oncologists, appointment schedulers…) and a wide range of technological resources, all of which increases the complexity of the process. Further, the final diagnosis of suspected cases is made from a protocol based on a series of coordinated steps and data obtained from different computer tools, that are used and interpreted manually by the various participants in the process.

Faced with this situation, the BCMED project (Breast Cancer MEDical) is on track to develop a single system of support for doctors, that combines all of the information gathered in the different diagnostic processes. In this manner all of the data is standardized, which represents a step forward in the management and coordination of the healthcare protocol for such cases, preventing situations that could delay diagnosis as well as decision-making by medical staff.

Thus the medical guidelines, contraindications, pharmacology information, etc. from the same patient history will be combined and shown automatically to doctors contextually, in order to help them make decisions, which could in turn reduce the possibility of human error. Thanks to the BCMED project, the healthcare system will be able to improve the reliability of the diagnostic process, preventing the management of less important processes from affecting the management of breast cancer treatment.