AI in Healthcare

Below is the criteria for Global AI Awards in Healthcare category:

1. Design (25%)

• Quality and robustness of system design for clinical or healthcare applications.
• Integration with existing healthcare infrastructure (hospitals, clinics, EHRs, medical devices).
• Safety, reliability, and compliance with healthcare regulations (HIPAA, FDA, EMA, etc.).
• Ethical design focused on patient privacy, transparency, and fairness.

2. Impact (35%)

• Demonstrated improvements in health outcomes, diagnosis accuracy, treatment effectiveness, or patient care.
• Measurable results such as reduced costs, faster detection, or improved access to healthcare.
• Contribution to healthcare equity by reaching underserved populations.
• Influence on advancing medical research, public health, or global health priorities.

3. Creativity (25%)

• Innovative applications of AI in diagnostics, drug discovery, personalized medicine, robotics, or telehealth.
• Unique problem-solving approaches to pressing healthcare challenges.
• Pioneering integrations with genomics, wearables, or clinical decision-support systems.
• Differentiation from traditional healthcare technologies.

4. Ease of Use (15%)

• Accessibility for clinicians, patients, and healthcare administrators.
• User-friendly interfaces that fit seamlessly into clinical workflows.
• Low barriers to adoption (affordability, compatibility with existing systems, multilingual support).
• Training, resources, and support for healthcare professionals and patients.