Table 1.
Current challenges in AI diagnostics in dermatology – Analysis from multiple stakeholders' perspectives
| Major challenge segment | Who is having the problem | Who can solve it and how |
|---|---|---|
| Access to high-quality, diverse, and representative data | Developers | Developers, startups, academia: Collaborate on data collection |
| Ensuring explainability and interpretability of AI models | Developers, clinicians | Developers: Adopt explainable AI techniques |
| Developing algorithms with strong generalizability | Developers | Developers, academia: Collaborate on research and validation |
| Addressing ethical concerns | Government, developers | Developers: Follow ethical guidelines, reduce bias |
| Adapting to regulatory frameworks | Developers, startups | Developers: Collaborate with government, ensure compliance |
| Navigating complex regulations | Startups, industry | Startups, government: Collaborate on policy development |
| Building trust among clinicians and patients | Startups, industry | Startups, developers: Demonstrate clinical validity and utility |
| Ensuring data privacy and security | Startups, patients | Startups, developers: Implement robust security measures |
| Scaling AI solutions to meet market demands | Startups, industry | Startups: Optimize algorithms, collaborate with academia |
| Attracting funding and investments | Startups, industry | Startups: Demonstrate potential impact, collaborate with partners |
| Integrating AI tools into existing workflows | Clinicians | Developers, startups: Design user-friendly and adaptable tools |
| Gaining trust in AI-driven diagnoses | Clinicians, patients | Developers, startups: Transparent evaluation, clinician education |
| Acquiring AI training and education | Clinicians | Startups, academia, Government: Offer education and training |
| Ensuring AI does not compromise patient care | Clinicians, patients | Developers, clinicians: Focus on human-AI collaboration |
| Developing regulatory frameworks for AI in healthcare | Government | Government, developers, startups: Collaborate on policy |
| Ensuring ethical use of AI in dermatology | Government, developers | Government, developers: Establish and enforce ethical guidelines |
| Balancing AI innovation and patient privacy | Government | Government, developers, startups: Collaborate on policy |
| Encouraging collaboration between stakeholders | Government | Government, developers, Startups, academia: Foster partnerships |
| Allocating resources and funding for AI in dermatology | Government | Government: Support AI research and development initiatives |
AI=artificial intelligence