📺 Live on the AutoPiX YouTube channel ➡️https://www.youtube.com/@AutoPiXproject
Join us for 30 minutes of insights, discussion, and shared experiences!
#AutoPiX #PiXight #AI #Imaging #Rheumatology #IHI #MedicalImaging
They will also reflect on how #imaging and #AI may support clinical decision-making within the AutoPiX project.
This short session is designed to be practical, accessible, and interactive; bringing together real-world experience and future perspectives.
🗓 21 April
🕑 14:00 CET
Jana Eder and Irina Gessl will have a conversation sharing how imaging is used in their daily practice, what opportunities these tools offer, and the main challenges they encounter. The session will be moderated by @francoisbonnay.bsky.social .
🔔 Tomorrow: PiXight Webinar – Imaging in Rheumatology
Just a quick reminder that tomorrow we’ll be hosting a new session of our #PiXight webinar series, focused on imaging in rheumatology and its growing role in #AI-supported care.
The goal is not to replace clinicians, but to augment human expertise by providing objective, reproducible, and potentially more sensitive analysis of medical imaging data.
#AutoPiX #AI #MachineLearning #MedicalImaging #IHI #DigitalHealth #Rheumatology #MedicalAI
By learning from large datasets of labelled images, they can:
🔹 Automatically identify relevant imaging features
🔹 Segment anatomical structures
🔹 Detect abnormalities
🔹 Support diagnosis, prognosis, and treatment planning
These models use machine learning techniques, including deep learning and convolutional neural networks, to process images from modalities such as #MRI, #CT, #PET, and #ultrasound.
In the @autopix.bsky.social context, imaging-based machine learning (#ML) models are computational tools that analyse medical images to extract quantitative data, recognise patterns, and predict clinical outcomes or disease characteristics.
🧠 AutoPiX Glossary | Imaging-based Machine Learning Models
Behind European funding #IHI and high technology are passionate experts working on a tangible solution for RMDs.
Listen to Phil Scordis from UCB on what motivated him, what surprised him, and what engages him about the #AutoPiX project.
#IHI
This architecture is designed to handle large volumes of data while keeping patient information secure and enabling AI to improve healthcare in ways that were not possible before.
#AutoPiX #AI #DataArchitecture #HealthData #IHI #GDPR #DigitalHealth #Rheumatology #MedicalAI
🔹 Data can be removed in line with GDPR and legal requirements
🔹 Approved AI systems can safely analyse information to support clinical decisions
🔹 Different hospital systems can communicate and share patient information
It defines the IT infrastructure and protocols needed to ensure that:
🔹 Data is stored securely and can be easily retrieved when needed
🔹 Access is controlled and monitored through logs and permissions
🔹 Patient privacy and anonymity are protected at all times
🧠 AutoPiX Glossary | What is Data Architecture?
In the context of the @autopix.bsky.social , data architecture is the smart blueprint that organizes how health information is collected, stored, accessed, and used across hospitals, partners, clinicians, and medical devices.
Behind European funding #IHI and high technology are passionate experts working on a tangible solution for RMDs.
Listen to Manuel Marín from Singularity Biomed on what motivated, surprised, and engaged him in the #AutoPiX project.
#IHI
Join us for a 30-minute conversation with practical insights and real-world experience.
#AutoPiX #PiXight #AI #Imaging #Rheumatology #IHI #MedicalImaging
The session will be moderated by @francoisbonnay.bsky.social , who will guide the discussion and help bring together key insights.
🗓 21 April
🕑 14:00 CET
📺 Live on the AutoPiX YouTube channel ➡️
Jana Eder and Irina Gessl will share their perspectives on how imaging is used in daily practice, current opportunities and challenges, and how these tools may support clinical decision-making in the near future.
📢 New PiXight Webinar | Imaging in Rheumatology
We’re pleased to announce a new session in our PiXight webinar series, focused on the role of imaging in rheumatology and its growing connection with AI-driven approaches.
📄 DOI: 10.1038/s41746-022-00663-0
#AutoPiX #Library #TrustworthyAI #EthicsInAI #DigitalHealth #AIinHealthcare #ResponsibleAI #IHI
The paper provides a valuable conceptual framework for researchers, clinicians, and developers working with AI-based health technologies, and offers practical insights into how ethical and legal considerations can be integrated throughout the AI lifecycle.
Particular attention is given to the importance of aligning AI development with existing legal frameworks and societal values to ensure patient trust and clinical acceptance.
The authors highlight how AI systems used in medical settings must go beyond technical performance, addressing issues such as data governance, bias, explainability, robustness, and regulatory compliance.
📚 AutoPiX Library | Recommended Reading
This article explores the key principles required to develop and deploy trustworthy artificial intelligence in healthcare, with a strong focus on ethics, transparency, safety, and accountability.
Consult our glossary to review related terms ➡️https://www.autopix-project.eu/resources
#LLM #ArtificialIntelligence #AIinHealthcare #DigitalHealth #Rheumatology #ResponsibleAI #AutoPiX #IHI
Their use requires careful consideration of data quality, transparency, and ethical and legal safeguards to ensure safe and responsible deployment.
In medical and research settings, LLMs can be applied to tasks such as analysing clinical notes, supporting decision-making, assisting with literature review, and improving access to health information.
These models are trained using deep learning techniques that allow them to identify patterns in language, generate coherent text, summarise complex documents, support clinical and research workflows, and facilitate communication between patients, clinicians, and researchers.
In healthcare, they can process and understand medical information from diverse sources in a way that resembles the reasoning of a human expert.
Large Language Models (LLMs) are advanced artificial intelligence systems designed to read, write, and interpret language by learning from large volumes of text data.