AI2MED

𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗖𝗮𝗿𝗲: 𝗕𝗿𝗶𝗱𝗴𝗶𝗻𝗴 𝗔𝗜 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 As part of our AI2MED series, Royal College of Surgeons in Ireland (RCSI) is delighted to welcome Dr. John Sheehan to discuss the changes that artificial intelligence is likely to bring to healthcare and to unpack what this means for medical and health professions education. The webinar takes place on 𝗠𝗼𝗻𝗱𝗮𝘆, 𝟮𝟰𝘁𝗵 𝗠𝗮𝗿𝗰𝗵 𝗳𝗿𝗼𝗺 𝟰:𝟬𝟬-𝟱:𝟬𝟬 𝗽𝗺 (𝗚𝗠𝗧) You can register here: http://bit.ly/3R6ezSA    Dr Sheehan is a Consultant Clinical Radiologist with expertise in digital health innovation and transformative healthcare leadership. He has refined his clinical skills through fellowships at Northwestern Memorial Hospital in Chicago and strategic roles at Blackrock Health, Dublin, Mobile Medical Diagnostics (MMD), and xWave Technologies.

Check out our latest AI2MED event recap organized by Solvership 👇

Revolutionizing cancer image classification! The dissertation of Alenka Trpin introduces a novel method combining CNNs, hyperbolic geometry, & metric learning, achieving superior accuracy in detecting malignant lesions. She achieved 100% accuracy on breast cancer images & significant improvements across other cancer types. This breakthrough paves the way for faster, more accurate diagnoses & better patient outcomes. Read more here: https://lnkd.in/dnhxBUxJ #AI #MachineLearning #CancerResearch #MedicalImaging Jozef Stefan Institute Università degli Studi di Napoli Federico II TIB – Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek Univerzitet Crne Gore Sveučilište Algebra Solvership Università di Pavia Kelyon Griffith College Dublin Smion Royal College of Surgeons in Ireland (RCSI)

Under the leadership of Prof. Hellas Cena and Dr. Rachele De Giuseppe, ANSiSA - Ass.Naz.Specialisti in Scienza dell'Alimentazione is proud to host a dedicated session on "Artificial Intelligence and Smart Technologies for the Health of the Future" at the 24th ANSISA National Congress. Join us on March 15-16 at Clinica ICS Maugeri in Pavia, Italy. ANSISA is renowned for advancing clinical nutrition through evidence-based practices and nutritional education. This annual congress brings together a diverse community of professionals - including medical doctors, dietitians, pharmacists, nurses, biologists, psychologists, and midwives - to explore emerging technologies, personalized nutritional therapies, and sustainable practices. Participants will also earn 9 CME credits through Salus Internazionale ECM. A key highlight, Session 3, will dive into how AI is revolutionizing healthcare - from remote diagnostics and data-driven nutrition to oncology and maternal health applications. With the endorsement of AI2MED, this session aims to enhance collaborative impact and set new benchmarks in patient care. Let’s shape the future of healthcare together! Università di Pavia #AI2MED | #Nutrition | #Health | #AI | #ANSISA | #SALUSInternazionaleECM | #ICSMaugeri Read more 👉 https://lnkd.in/dfAfFTxp

🚀 AI2MED finalises innovative AI curricula for healthcare education The AI2MED project has reached an important milestone: the finalisation of comprehensive AI curricula for Higher Education Institutions (HEIs) and Vocational Education and Training (VET). These programmes will equip future healthcare professionals with the skills to use AI effectively in the medical environment and bridge the gap between technology, clinical practise and ethics. AI is transforming diagnostics, patient management and clinical workflows. To prepare the next generation of healthcare professionals, the AI2MED curricula are aimed at medical students, researchers, healthcare managers and IT specialists working in the medical field. Focus areas for HEIs: ✅ Data Management & Cybersecurity – secure handling of patient data and compliance with regulations such as the GDPR ✅ Advanced Digital Competencies – mastering data visualisation, machine learning and predictive analytics ✅ Interpersonal and interdisciplinary communication – improving collaboration between healthcare professionals, AI developers and IT experts ✅ AI Ethics & Oversight – applying ethical AI principles in real-world clinical scenarios, in line with OECD guidelines VET curriculum: Practical AI in Healthcare The VET programme focuses on practical AI applications for technical and administrative medical staff to ensure that they can support AI systems in daily operations. 🎯 What’s next? Now that the curricula have been finalised, the next step is the development of MOOCs (Massive Open Online Courses) to make AI education accessible to a wide audience. This initiative not only trains future professionals, but also strengthens the readiness of the healthcare sector for the integration of AI. We’re excited to shape the future of AI-driven healthcare! Want to learn more? Let’s get together and talk about how AI is changing medical education. #AIinHealthcare #MedicalInnovation #AI2MED #DigitalHealth #HealthcareEducation #ArtificialIntelligence Read more 👉 https://lnkd.in/dyaay7jW Università degli Studi di Napoli Federico II TIB – Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek Univerzitet Crne Gore Sveučilište Algebra Solvership Università di Pavia Jozef Stefan Institute Kelyon Griffith College Dublin Smion Royal College of Surgeons in Ireland (RCSI)

An ambitious new project from the RCSI School of Population Health at Royal College of Surgeons in Ireland (RCSI) seeks to use AI to enhance public health by promoting healthier and more sustainable food choices across Europe. Funded by the EU Horizon Europe programme, WiseFood Project is a three-year initiative that integrates advanced AI tools and real-world feedback to improve dietary habits and reduce environmental impact. Led by Dr. Claire Timon and Dr. Angela Flynn, WiseFood seeks to democratise access to reliable, science-backed information on healthy and eco-conscious eating. The project leverages AI techniques to provide tailored advice for better personal and planetary health. WiseFood will develop three AI-powered applications: ➡️ FoodScholar: A platform offering trustworthy information on nutrition, sustainability, and health. ➡️ RecipeWrangler: An AI tool that evaluates and improves recipes, balancing nutritional value with environmental impact. ➡️ FoodChat: A recommendation system providing personalised meal suggestions to encourage healthier and eco-friendlier diets. These applications will be tested in Living Labs in Ireland, Hungary, and Slovenia, involving over 300 households. Through co-design workshops and input from citizens, nutritionists, and policymakers, the tools will be refined to meet real-life needs. Principal Investigator Dr Claire Timon emphasised the project's goal to empower individuals to make informed, sustainable food choices. The initiative combines cutting-edge AI with participatory research to create meaningful change, from reducing food waste to tailoring meal plans based on local guidelines. Read more 👉 https://lnkd.in/ex-v-GKj Università degli Studi di Napoli Federico II TIB – Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek Univerzitet Crne Gore Sveučilište Algebra Solvership Università di Pavia Jozef Stefan Institute Kelyon Griffith College Dublin Smion

Groundbreaking project that leverages artificial intelligence (AI) to enhance histopathological analysis spearheaded by IT Advanced Services (ITAS) and the Clinical Center of Montenegro with support from the Innovation Fund of Montenegro Why is this important? Colorectal cancer diagnosis is a complex and time-consuming process, requiring meticulous manual analysis by pathologists. Our AI-powered system will automate the detection of key pathological changes, improving accuracy, reducing workload, and enabling faster and more reliable diagnoses. How does it work? Using machine learning algorithms, the system will analyze medical images, identify dysplastic and malignant cells, and highlight areas that require further investigation. This AI-driven support will enhance decision-making and significantly improve patient outcomes. Advancing Telemedicine One of the most exciting aspects of this project is its potential to transform telemedicine. Digitalized pathology samples will allow for remote consultations and AI-assisted analysis, providing expert insights to healthcare facilities that lack full-time pathologists. Shaping the Future of Healthcare By integrating AI into pathology, we are taking a major step toward modernizing medical diagnostics and enhancing healthcare in Montenegro. This project has the potential to become a key tool in the fight against colorectal cancer, reducing mortality and improving the quality of life for patients. Read more here: https://lnkd.in/dcrFFhta #AI #HealthcareInnovation #Pathology #DigitalTransformation #Telemedicine  #MachineLearning #MedicalAI   Università degli Studi di Napoli Federico II TIB – Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek Univerzitet Crne Gore Sveučilište Algebra Solvership Università di Pavia Jozef Stefan Institute Kelyon Griffith College Dublin Smion Royal College of Surgeons in Ireland (RCSI)

What happens when cutting-edge AI meets the art of pediatric care? Can algorithms enhance a doctor’s intuition, or is there a limit to what technology should do in medicine? Join us in the panel discussion as we navigate the future of 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻, 𝗽𝗮𝘁𝗶𝗲𝗻𝘁-𝗰𝗲𝗻𝘁𝗲𝗿𝗲𝗱 𝗽𝗲𝗱𝗶𝗮𝘁𝗿𝗶𝗰 𝗰𝗮𝗿𝗲. We’ll tackle: 🔹 The role of AI in training the next generation of pediatricians 🔹 Where AI’s job ends and a doctor’s expertise begins 🔹 Real-world applications of AI in medicine Meet our expert panelists: 🟢Marija Bosnjak, MPharm, MEcon – Managing Director, Poliklinika Salvea 🟢Milivoj Jovančević – Medical Consultant, Poliklinika Salvea 🟢Loren Serdarević  – Student, School of Medicine, University of Zagreb 🟢Edita Šandrk Ivanković – Senior Consultant, Solvership 🟢 Marko Štajcer - Line of Business Director, Solvership - 𝗠𝗼𝗱𝗲𝗿𝗮𝘁𝗼𝗿 Brought to you by Solvership & AI2MED, working to integrate AI into 𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝗲𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 - from high schools to universities - ensuring future doctors are ready for the tech-driven evolution of healthcare. 🚀 AI is here. How do we use it wisely? 📅 06/03/2025, 6PM 📍 BIRD Incubator, Petračićeva 4 🔗 https://lnkd.in/dVGqgtPS #AIinHealthcare #Pediatrics #FutureOfMedicine #AI2MED

U srijedu, 26. veljače 2025., od 17:30 do 20:30 sati, u dvorani Faust Vrančić na Sveučilištu Algebra Bernays, održat će se TeamUp x Health – događaj koji okuplja zdravstvene startupe, stručnjake i poduzetnike s ciljem istraživanja kako umjetna inteligencija (AI) transformira personaliziranu medicinu i povećava sigurnost pacijenata. 💊🩺 Na panelu “AI u personaliziranoj medicini – koristi za pacijente, liječnike i tehnologiju” će se raspravljati o učincima AI na liječničku praksu, najvećim izazovima u implementaciji te najperspektivnijim tehnologijama u personaliziranoj medicini. 👨⚕️ Četiri inovativnih startupa predstavit će svoja rješenja i otvorene pozicije za potencijalne suradnike: ShowMe, Digicyte, Plasma Glow i Ordineo. 🚀 Sudionici će imati priliku povezati se s timovima, razmijeniti ideje i pronaći potencijalne partnere ili prilike (za zaposlenje) u sektoru digitalnog zdravstva. 👥 🔗 Pridružite se skupini zdravstvenih stručnjaka, inovatora i entuzijasta prijavom preko poveznice: https://lnkd.in/dCcU4D8s #Healthcaremeetup #innovation #health #healthtech #healthinnovation #healthstartups #healthnewsletter #digitalhealth #healthcare #healthnews #innovation #startups #medtech #HealthcareInnovation #Smion #AI2MED #Algebra

AI in healthcare offers great opportunities ⚕️ but also liability concerns ⚖️, especially when its decisions harm patients. Defining the responsibility for AI errors is crucial but not so easy. Italian law (Art. 590-sexies) shields doctors following guidelines, but applying this to AI remains difficult. Establishing causality between AI flaws and harm is not so easy, especially when dealing with autonomous learning systems. On the one hand, hospitals must ensure appropriate AI use and oversight, facing potential contractual liability. On the other, physicians face extra-contractual responsibility, requiring patients to prove causality. Negligent use of AI (e.g., uncertified algorithms) can lead to liability, even though traditional liability notions are insufficient for those related to AI use 🤖 because they call for a multi-faceted approach involving legal scholars, policymakers, developers, and professionals. Read more 👉 https://lnkd.in/e-TJH8Qh Università degli Studi di Napoli Federico II TIB – Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek Sveučilište Algebra Solvership Università di Pavia Jozef Stefan Institute Kelyon Griffith College Dublin Smion Univerzitet Crne Gore Royal College of Surgeons in Ireland (RCSI)