At this inaugural conference, leaders in AI, healthcare, and neuroscience come together to explore the latest advancements in the field, and we’re thrilled to be part of these important conversations.
We present a session on “Foundation Models in Medicine: Towards Generalizable, Interpretable, and Data-Efficient AI” — a topic that’s at the forefront of AI’s potential to revolutionize healthcare. Foundation models, which are reshaping the landscape of AI in various fields, are now being applied to healthcare in exciting new ways.
In our presentation, we dive deep into how foundation models are enabling healthcare systems to become more scalable, adaptable, and explainable. Here’s an overview of the key topics we cover:
Cross-Domain Generalization: We explore how foundation models work across heterogeneous clinical datasets, making them more versatile and reducing the need for vast amounts of labeled data. This ability allows for faster deployment across different medical domains, benefiting a wider range of applications and use cases.
Data Efficiency and Synthetic Data: One of the challenges in healthcare AI is data privacy, and we discuss how synthetic data generation can be a game-changer. By creating synthetic datasets, we overcome privacy constraints while improving model performance, thus making AI models more effective and widely applicable.
Extracting Value from Free-Text Reports: Large Language Models (LLMs) show great promise in extracting structured information from unstructured clinical data, such as free-text medical reports. We highlight how this process unlocks valuable insights from clinical narratives, providing a richer, more comprehensive understanding of patient data.
Causal Inference for Personalized Treatment: Lastly, we discuss how integrating causal inference techniques into AI systems supports more personalized treatment recommendations. This is a key step toward evidence-based, patient-centered care — ensuring that treatment plans are tailored to the individual patient’s needs.
The future of healthcare is undoubtedly intertwined with the rapid advancements in AI, and conferences like MIND Belgrade 2025 offer an exciting opportunity to bring together researchers, practitioners, and thought leaders from various disciplines to push the boundaries of what’s possible. We’re eager to engage in the discussions that shape the future of AI in healthcare.
About MIND Belgrade 2025
MIND Belgrade 2025 is a major event dedicated to showcasing the latest innovations in AI and neuroengineering. The conference gathers global experts to discuss cutting-edge developments in artificial intelligence, its applications in medicine, and the future of healthcare.
For more details about the conference, check out their official website: MIND Belgrade 2025.
