🧠 How do we build AI that remains trustworthy when it leaves the lab and enters the real world?

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• June 5, 2026
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This question was at the heart of the Special Track “𝗚𝗲𝗻𝗲𝗿𝗮𝗹𝗶𝘇𝗮𝗯𝗹𝗲 & 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗔𝗜 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗖𝗮𝗿𝗲 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝘂𝗺 𝗼𝗳 𝗡𝗲𝘂𝗿𝗼𝗱𝗲𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗗𝗶𝘀𝗲𝗮𝘀𝗲𝘀”, organized by our SMILIES member Gianluca Amprimo at the IEEE International Symposium on Computer-Based Medical Systems (CBMS 2026) in Cyprus 🇨🇾.

The session explored how AI and digital biomarkers can support the detection, monitoring, and management of neurodegenerative diseases such as Alzheimer’s, Parkinson’s, and ALS across the entire care continuum, from clinic to home 🏥🏠.

We were particularly happy to see two PhD students contribute to the discussion: Giulia Masi presented 𝗘𝗗𝗔-𝗕𝗮𝘀𝗲𝗱 𝗔𝗿𝗼𝘂𝘀𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗗𝘂𝗿𝗶𝗻𝗴 𝗚𝗮𝗺𝗶𝗳𝗶𝗲𝗱 𝗟𝗲𝗴 𝗔𝗴𝗶𝗹𝗶𝘁𝘆 𝗶𝗻 𝗣𝗮𝗿𝗸𝗶𝗻𝘀𝗼𝗻’𝘀 𝗗𝗶𝘀𝗲𝗮𝘀𝗲: 𝗔 𝗖𝗿𝗼𝘀𝘀-𝗦𝘂𝗯𝗷𝗲𝗰𝘁 𝗫𝗔𝗜 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵, while Ilaria Ciampa shared their work on 𝗜𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗮𝗯𝗹𝗲 𝗛𝗥𝗩-𝗕𝗮𝘀𝗲𝗱 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗼𝗳 𝗥𝗘𝗠 𝗦𝗹𝗲𝗲𝗽 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝘂𝗿 𝗗𝗶𝘀𝗼𝗿𝗱𝗲𝗿 𝘃𝗶𝗮 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗕𝗼𝗼𝘀𝘁𝗶𝗻𝗴 𝗠𝗮𝗰𝗵𝗶𝗻𝗲𝘀. The session also featured an insightful presentation by the track chair, Gianluca Amprimo, on 𝗥𝗚𝗕-𝗗 𝗛𝘂𝗺𝗮𝗻 𝗣𝗼𝘀𝗲 𝗘𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗼𝗻 𝘁𝗼 𝗔𝘀𝘀𝗲𝘀𝘀 𝗜𝗻𝘀𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝗻 𝗣𝗮𝗿𝗸𝗶𝗻𝘀𝗼𝗻’𝘀 𝗗𝗶𝘀𝗲𝗮𝘀𝗲: 𝗮 𝗠𝘂𝗹𝘁𝗶-𝗰𝗲𝗻𝘁𝗲𝗿 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻, sharing some insights from the recently concluded 𝗢𝗺𝗻𝗶𝗮-𝗣𝗮𝗿𝗸 project.

Because the future of AI in healthcare is not just about smarter algorithms, it’s about creating tools that clinicians can understand, trust, and use to improve patients’ lives 🤝💡.

A big thank you to all speakers, attendees, and participants for the engaging presentations, insightful discussions, and exchange of ideas that made this session such a valuable experience 🙏✨.

#SMILIES #IEEECBMS2026 #ExplainableAI #DigitalHealth #NeurodegenerativeDiseases #AIforHealthcare #DigitalBiomarkers

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