The Federation of Spanish Scientific and Medical Associations (FACME) organized the conference Conference on Artificial Intelligence in MedicineExperts reviewed the main challenges of this technology and developed the innovations that artificial intelligence brings to the field of medicine. FACME held this event on Tuesday at the Official College of Physicians of Madrid (ICOMEM), with the aim of “To be able to discuss, highlight and delve into the most important and important aspects of the use and implementation of artificial intelligence and digital transformation in medicine.”
Thus, figures from the medical scientific community, experts in the development of artificial intelligence and bioethics, and representatives of the General Secretariat for Digital Health analyzed “what should be the digitalization that should be applied to the health sector to develop in line with solidarity, equity, universality, quality and contribution to the expected science.” From him, as they pointed out the President of FACME, “What seemed like speculation has become reality,” Javier García Alegre celebrated. “AI tools already cover all areas.” However, this technology brings some risks that should not be ignored, hence the importance of this day, as he explained in an interview with Gazeta Medica.
“FACME represents the interests of all associated scientific societies, which are those with a recognized medical specialty, and it seems to us that aspects related to artificial intelligence are of common interest. It’s a fortuitous aspect because AI affects a lot of them and it will almost certainly affect all of them, it will affect all of them in some way. Therefore, García explained, “it seems to be a good time for experts, not only from companies, but also with external experts, to share aspects related to artificial intelligence, which has already become a reality in many fields.”
Regarding the future of AI in the profession, the FACME President stated that it is “open, and we are building it from the present.” Thus he referred to training. “We will have to train doctors from this perspective, and rely on these tools to improve clinical practice, diagnostic safety, and improve treatments.” Moreover, he exemplified these developments with a statement: “Thanks to the AI tool, one million molecules with potential antibiotic potential have been identified. 90% of these molecules were not known or even described. This is a tool that has truly transformative potential for humanity. Of course Medicine and health care will be no stranger to them.
Regarding ethical boundaries, Garcia emphasized this “There are always ethical challenges in any modification of clinical practice, and there are some aspects that can affect accessibility, equality of care, the assurance of confidentiality, and a very important aspect of the practice of medicine, which is the doctor-patient relationship, a very special fact. It is about placing trust in the professional and the bond that facilitates decision-making, patient care and therapeutic care, and we cannot forget these aspects. For this reason, he recalled that “the practice of medicine involves a human being, a being who suffers and seeks help from another person who realizes the ability to act for his own good. This is the essence of medicine.”
Conference on Artificial Intelligence in Medicine
Regarding the AI presentations on the first day, Javier highlighted that “the applicability of tools to routine use depends on the possibility of standardization, and the more standardizable a therapeutic diagnostic technique is, the easier and faster it will be.” To be practically integrated into medicine.” He explained that they will talk about several tools related to imaging, laboratory, diagnosis, patient risk classification, and practical experiences, some of which are “already available in hospitals.”
Also, with regard to celebrating this day, he expressed his intention to “maintain this initiative over time because it has been very well received by all scientific societies, and it seems to us that it receives great interest from all of them.” Additionally, “there are hundreds of registered people following the day via live stream. Those who have been working for a long time will be able to explain what they do, and those who are starting out in AI will glimpse the paths by which they can continue to integrate the tools into clinical practice. Finally, he concluded by pointing out The importance of finding “a way to train ourselves and the undergraduates and residents to use these tools that are already in place, because it will capture their full attention.”
Specialized tables
The conference included many specialized tables that addressed the main aspects of artificial intelligence in medicine. in The first table, focused on the future of this technology in health care, Elena Hernando, a professor of biomedical engineering at UPM, stressed the importance of training, which is why she noted that “the tools that help the most are manual language processing, machine learning, and generative artificial intelligence, in terms of helping with writing assignments.” and deal with the additional load.” These tools provide “suggestions that the clinician can review or filter,” thus facilitating the analysis of large amounts of data and allowing clinicians to better focus on the most relevant problems.
Regarding the challenges of AI, Hernando emphasized that “interdisciplinary collaboration is essential due to the need to understand how many data are interpreted, as well as the methodological risks it applies, such as whether or not the representation of the data set is inadequate.” Also highlighted The need for “continuous evaluation, like any other medical technique.” The engineer specializing in artificial intelligence and data and director at Microsoft, Julian Isla Gomez, reviewed some of the false myths associated with this technology, such as explainability and accuracy. He pointed out that “the accuracy of artificial intelligence reaches 91 percent,” stressing that they are “supportive tools” and that “humans are not infallible.” “It’s not just another technology,” Isla noted. “It’s a differentiator because it’s approaching the power of what makes us human. It will change jobs to adapt to this new technology.”
Ethical and legal regulation
Another table focused on: Ethical and legal regulation and implementation of new technologies by management. The Chief of Staff of the General Secretariat for Digital Health, Information and Innovation of the SNS, Lucía Escaba Castro, reviewed the legislative framework for the use of this technology. It also celebrated the approval of the European Health Data Regulation (EDHS), recalling people’s right to control their health data and setting out planned measures to prevent its use for illicit purposes.
A professor of law at Comillas University and former head of Spain’s Bioethics Committee, Federico de Montalvo Jaaskelainen, insisted that “the data is no longer ours, it now saves lives” and criticized the lack of moral willingness to share them. . “There is an ethical duty to share data, thanks to which we can develop algorithms,” he said, calling for their secondary use through a pseudonymous model that protects privacy while allowing research. Regarding ethically acceptable uses, Montalvo expressed concern about exclusive reliance on algorithms in decision making. “We will have to learn that the algorithm helps us but we must follow independent standards to avoid algorithm-based medicine.”
Application in scientific societies
Today also included a Table on the application of artificial intelligence by medical and imaging scientific societies. Director of the Radiodiagnostic Service of Sant Pau and member of SERAM, Josep Munuera del Cerro, highlighted that AI algorithms “will dramatically reduce the time it takes to perform an MRI, reducing it by up to 70 percent.” Consequently, I emphasized the importance of ongoing training for professionals and residents, with a particular focus on ethics.
Finally, the head of the Cardiology Service at the Princesa de Madrid University Hospital and member of the Securities and Exchange Commission, Luis Jesús Jiménez Borreguero, explained that Artificial intelligence applied to cardiovascular patients will facilitate “automatic calculations, provide new diagnostic and alerting methods and allow analysis of large community databases.” “These innovations promise to change cardiology practices and dramatically improve patient care.”
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