A new report from Corti and YouGov has revealed that a third of U.S. healthcare professionals using AI spend up to three extra hours weekly correcting its errors. To address this, Corti announced a breakthrough in healthcare AI: specialized foundation models tailored to enhance AI’s capabilities in healthcare, aiming to save time for patients rather than take it away. This announcement comes at a crucial moment for the adoption of healthcare AI, as many healthcare professionals in Europe remain skeptical about current AI solutions.
- Crisis of Confidence in Healthcare AI
- Lack of Confidence in Current AI: While 74% of healthcare professionals in Europe support AI use, 52% lack confidence in using current AI solutions, contributing to “pilot paralysis” in the industry.
- Challenges of General-Purpose AI: Many AI tools, designed for general purposes, struggle to meet the complexities of healthcare, leading to failed pilots and skepticism among healthcare professionals.
- Corti’s Specialized Approach to Healthcare AI
- Specialized Foundation Models: Corti’s new AI models are built on nine years of research, trained exclusively on healthcare data. These models are designed to integrate seamlessly into healthcare systems, delivering faster, more accurate, and cost-efficient performance than general-purpose AI models like GPT-4.
- Key Models:
- Solo: A fast model for audio reasoning, transcribing complex medical terminology across 10+ languages.
- Ensemble: Focuses on documentation, creating structured and concise reports that are 25% more accurate than general-purpose AI.
- Symphony: A real-time clinical support model, offering insights 35x faster than GPT-4.
- Expert Models: Corti also offers 20 specialized models for tasks like medical coding, quality control, and summarization, ensuring flexible integration into existing healthcare workflows.
- Ensuring Trust and Integration in Healthcare
- Building Sector Confidence: Corti’s specialized AI models are designed to build confidence among healthcare professionals by addressing their unique demands. The AI systems undergo human supervision, gradually taking on more responsibility, akin to medical residency.
- Expert Validation: Professor Serge Belongie from the Danish Pioneer Centre for AI and Seattle Fire Department Assistant Chief Lombard praised Corti’s AI models for their specialized approach, emphasizing their positive impact on emergency care and patient outcomes.
- The Future of Healthcare AI
- Addressing Global Healthcare Shortage: With a global shortage of healthcare professionals expected by 2030, Corti’s AI aims to reduce administrative burdens and improve efficiency, addressing the rising stress among healthcare workers.
- The Need for Effective AI: Corti’s co-founder, Andreas Cleve, stresses that AI solutions must reduce complexities and risks, focusing on improving patient care and boosting healthcare professionals’ confidence.
Corti’s specialized healthcare AI models offer a promising solution to the ongoing challenges in the sector. By focusing on healthcare-specific training and integration, these models deliver more accurate, reliable, and cost-efficient performance, helping healthcare professionals save time and improve patient care. With the AI healthcare market poised for growth, Corti is setting a new standard for responsible and effective innovation.