Physicians’ attitudes and perceptions toward the integration of artificial intelligence into pediatric hematology–oncology in Saudi Arabia
By
Sawsan Alblewi
July 3, 2026
Clinical Scorecard: Attitudes and Perspectives of Pediatric Hematology-Oncology Physicians on the Adoption of Artificial Intelligence in Saudi Arabia
At a Glance
Category Detail
Condition Pediatric Hematology-Oncology Key Mechanisms Integration of artificial intelligence for data analysis, pattern recognition, and early disease detection. Target Population Pediatric hematology-oncology physicians in Saudi Arabia Care Setting Clinical practice in pediatric hematology-oncology
Key Highlights
74.2% of physicians have a positive view of AI integration. Main advantages include efficiency, accuracy, and cost-effectiveness. 56.8% believe human physicians should remain primary decision-makers. Challenges include privacy, interpretability, and ethical concerns. Physicians recognize AI's potential in diagnosis and treatment. Guideline-Based Recommendations
Diagnosis
AI can enhance the accuracy of diagnosing complex blood malignancies. Management
AI supports tailored therapy by predicting effective treatments for specific patients. Monitoring & Follow-up
Machine learning models can predict disease progression and treatment success. Risks
Concerns regarding privacy, ethical issues, and potential job displacement. Patient & Prescribing Data
Patients with complex and life-threatening diseases such as leukemia and lymphoma.
AI can optimize treatment strategies to improve patient survival and quality of life.
Clinical Best Practices
Ensure adequate training for physicians on AI applications. Establish a clear framework defining the role of AI in clinical practice. Promote physician involvement in the development of AI tools. Related Resources & Content
