Post by ummefatihaayat22 on Feb 13, 2024 5:26:40 GMT -5
More than 60 attendees and 150 registered online were interested in the current situation of Artificial Intelligence in health. That is what the event “Good practices in the use of Artificial Intelligence in health” was intended to reflect, organized by the Institute of Knowledge Engineering (IIC) to show projects that are already a reality and that account for the evolution of this technology. and its applications.
Already in the opening speech, Alberto Barrientos, general director of the IIC, found two of the topics that were going to be highlighted throughout the meeting: the processing of data and the teams behind these advances. On the one hand, Barrientos explained that “in this environment, special care must be taken with the management of data and its confidentiality .” At the IIC we are capable of creating the appropriate context for this, closely following the regulations, and at the same time obtaining results.
In addition, he pointed out that “IIC projects Germany Telemarketing Data involve a lot of research and joint work,” in reference to the need to have different profiles, clinical and technological, to address these projects . An example of this was the event panel, which brought together many of the actors involved: technology experts from the IIC, representatives of hospitals that are already applying AI, and biotechnology and insurance companies that have already transformed their processes.
AI in health: 14 years of projects. By way of introduction, Cristina Pruenza , technical director of the IIC's Health area, reviewed the IIC's 14 years of work in this area. Once again, what emerged as a pioneering research venture has left behind different milestones.
In 2009, the IIC began analyzing health data. Then the first results arrive with image analysis techniques. In 2013, Natural Language Processing (NLP) is applied to structure information in text so that it can be analyzed. Since 2016, intelligent alert systems have been developed that have currently been implemented in some hospitals, such as Bisepro for the early detection of sepsis. Recently, there has been a commitment to biotechnology applied to genomic data, with the example of ClinicHPO , a term detection system.
This journey is similar to the general evolution of AI in health, which started from research projects focused on analysis and has already led to the implementation of medical decision support systems.
According to Elisa Martín, director of the Health area at the IIC, “at the event we have tried to convey that there are already experiences with impact in this area, from which we can learn and that are creating a practice to follow.” Among those relevant steps to apply Artificial Intelligence, the data processing, clinical validation and certification of the models and their implementation and maintenance in the daily life of health professionals stood out.
However, despite the progress, challenges remain, such as the interoperability of medical data . “Hospitals do not have a common data model, they cannot easily exchange all the information. Therefore, it is important to establish standards and generate data platforms that allow the use of information while maintaining its meaning and privacy,” explained Cristina Pruenza.