All 'Università Campus Bio-Medico di Roma The "AI & Forensic Medicine" workshop that opens the 47th SIMLA National Congress
Rome, 16 June 2026 - Don't stop the wave, nor suffer it: learn to ride it. This is the image chosen by Professore Vittoradolfo Tambone, Professor of Forensic Medicine and Bioethics at theUniversità Campus Bio-Medico di Roma to explain the approach of Italian forensic medicine towards innovation: "We want to surf with artificial intelligence, for ever better forensic medicine". It is with this spirit that we present ourselves the workshop "AI & Forensic Medicine", scheduled for June 17th at theUniversità Campus Bio-Medico di Roma (Cu.Bo Building, Via Regdo Scodro, 42): a day that opens and introduces the 47th National Congress of the Italian Society of Forensic and Insurance Medicine, scheduled for June 18th to 20th at the Conference Center of the Catholic University of the Sacred Heart (Largo F. Vito, 1).
The most advanced technologies should be considered as a "reinforcing alteration" because they indicate a qualitative change that realizes the cognitive potential of human beings.It is a vision that originates in Aristotelian physics - underlines the Prof. Tambone - and that adapts to the management of the artificial intelligence process: technology helps us do better what we already intend to do". With this in mind, SIMLA chose the workshop format: a day of practical work, with a limited number of participants, with a high-level technological player like IBM."The technology player - clarifies Tambone - He will show us which regulatory issues forensic medicine can help resolve, while we explain what we expect from the technology. The goal is a comprehensive collaboration for the common good, from which we hope concrete operational projects will emerge.". To act as a compass, a precise ethical framework: "The ethic of work well done, through a strengthening of critical, reflective and dialogic thinking".
A look at the evolutionary trajectories of technology comes from Dr. Luca Di Piramo, Senior AI Specialist at IBM Consulting. "The evolution of AI is changing the relationship between people, processes and data - observe -. Nell'Traditional AI requires comprehensive data to train specific models; with GenAI,'attention shifts to the quality and certification of the information context that anchors generalist models.'Agentic AI goes further: it does not limit itself to understanding, but coordinates processes and interacts with external systems, requiring interoperability and more solid governance of flows.". A reflection that reverberates in the healthcare sector in a specific way: " In this sector, the role of the professional is transformed, becoming an active supervisor and clinical guarantor. Guardrails, traceability, and human oversight of the entire process become essential. If GenAI amplifies content risks,'Agentic AI amplifies those on actions". It is a decisive change because it passes "from systems that predict, to systems that understand, to systems that act and governance must become increasingly end-to-end to safely accompany this new operational capability".
The human dimension remains essential even when faced with the objectives identified in the civil, criminal, and risk management fields.We are interested in improving the quality of scientific evidence and the determination of causal links", specific TamboneHence the need for the computational capacity of AI and, in perspective, of quantum computing, "while always maintaining the interpretative dimension, which remains the essential specificity of the forensic doctor". Three levels of application: the Research, with collaborative projects; theassistance, with patents and useful applications in the field; training, in specialized schools and in continuous updating.
On the clinical risk management front, the potential is already tangible. "Artificial intelligence can help us move from a predominantly reactive logic to a more predictive and preventive one", explains the dr. Francesco De Micco, researcher in forensic medicine at theUniversità Campus Bio-Medico di Roma. The most concrete applications concern "the use of machine learning and natural language processing to analyze medical records, free text, and incident reports, supporting the identification of adverse events and highlighting under-reporting", the phenomenon whereby clinically relevant events are not recorded or reported in official statistics or system databases. The most advanced trials are looking at the most markedly predictive uses: "models for identifying patients at greater risk of falling, decision support systems to reduce errors in prescribing and dispensing therapy, as well as risk prediction and stratification tools aimed at the early activation of preventive interventions". For De Micco "The challenge is not to replace human judgment, but to build validated, traceable and adequately governed tools, in the awareness that AI can itself become a source of new clinical, organizational, ethical and medico-legal risks.".
A laboratory of ideas, therefore, that aims to lay the foundation for a shared effort in technological innovation with concrete, high-level outputs, fully consistent with the theme of the SIMLA 2026 Congress, "Scientific Innovation in Italian Forensic Medicine: Proposals for a Strategic Plan."
