Mainstreaming of AI in Clinical Workflows

• By 2028, radiology departments in many German and EU hospitals will have AI assistance as standard
• Every CT or MRI scan might be pre-analyzed by AI before human interpretation
• AI will expand into pathology, dermatology, and ophthalmology departments
• Multi-modal AI will combine data from imaging, labs, and genomics for holistic support
• Clinical decision support AI, powered by medical LLMs, will assist with complex diagnoses
• AI will become more deeply embedded but also more invisible in workflows

LLM Integration in Healthcare

• Specialized medical LLMs will be deployed within hospital networks
• These will function as clinical assistants for information retrieval and summarization
• By 2025, early adopter hospitals might have LLMs transcribing every patient encounter
• LLMs will serve as multilingual tools in EU's diverse language environment
• Within 5 years, these models will be reliable enough for routine clinical support
• Regulators may certify certain medical LLM applications as approved medical software

Patient-Facing AI Expansion

• More sophisticated patient triage and monitoring systems will emerge
• Personalized care recommendations based on individual health profiles
• AI-driven rehabilitation and therapy applications
• Virtual health assistants for chronic disease management
• All with appropriate human oversight and integration with clinical teams