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rTAIM \;(Rebuilding Trust in AI Medicine) \;Monthly Seminars

Seminar #25: "The Role of AI in Medicine: Computer Vision and Digital Pathology in Cancer Diagnosis"

Ricardo Ramí\;rez-Barrantes (Universidad André\;s Bello) \;

We are happy to announce the forthcoming 25th rTAIM \;Online Seminar\, \;with the participation of Ricardo Ramí\;rez-Barrantes on the 25th February 2026\, \;17h00-18h00 Lisbon Time Zone\, via Microsoft teams.

Link: https://teams.microsoft.com/meet/3139972006182?p=djrYRrda46zjYxUOH1

ID Teams: \; 3139972006182 \; | \;Password: \;8Qw7wS2R]

# Seminar 25: Artificial intelligence is transforming the way we conduct diagnostics\, offering unprecedented improvements in efficiency and accuracy. Its ability to process large datasets and identify complex patterns in medical images facilitates earlier diagnoses and more targeted treatments. This is particularly critical in areas like cancer\, where operator-dependent bias could interfere with diagnosis and patient survival. However\, this technological advancement demands rigorous ethical analysis\, especially at critical post-analytical points\, such as the opacity in result interpretation. In this context\, the explainability of AI is central to unraveling the specific mechanisms behind its decision-making processes\, promoting responsible adoption\, while mitigating implicit biases that could exacerbate inequities in clinical settings. Furthermore\, explainability helps dismantle the imprecise conceptualization of AI as a "robot with general intelligence and subjectivity&rdquo\;\; instead\, it frames it as a system of sophisticated mathematical models designed to solve complex problems\, categorized under strategies known as "machine learning." Clinicians must understand the evolution of technological tools and integrate them into their practice\, recognizing both the limitations and capabilities of AI\, as well as their role and responsibility in its application. Finally\, updating competencies is crucial for healthcare professionals who need to incorporate knowledge of AI\, presenting a challenge for universities to ensure ethical and effective clinical practice.

Short bio: \;Ricardo Javier Ramí\;rez Barrantes is a Chilean scientist in the biomedical/neuroscience field. He is Coordinator of the Morphophysiopathology and Cytodiagnosis track in Viñ\;a del Mar at the Faculty of Medicine\, \;Universidad André\;s Bello. He is exploring topics connected to Mediation\, brain imaging and application of AI in medical contexts.

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rTAIM \;Seminars: https://ifilosofia.up.pt/activities/rtaim-seminars

https://trustaimedicine.weebly.com/rtaim-seminars.html

Organisation:
Steven S. Gouveia (MLAG/IF)
Mind\, Language and Action Group (MLAG)
Instituto de Filosofia da Universidade do Porto &ndash\; UID/00502/2025
Fundaç\;ã\;o para a Ciê\;ncia e a Tecnologia (FCT)

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Instituto de Filosofia (UI&\;D 502)
Faculdade de Letras da Universidade do Porto
Via Panorâ\;mica s/n
4150-564 Porto
Tel. 22 607 71 80
E-mail: ifilosofia@letras.up.pt
http://ifilosofia.up.pt/

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