Manh‐Toan Ho

Papers

Total Citations

537

H-Index

About

Manh-Toan Ho is a rising leader in the computational social sciences, whose work bridges bibliometrics, artificial intelligence, and public health. His research primarily explores the global evolution and societal acceptance of AI, particularly within healthcare systems. Ho’s most impactful contribution is his landmark bibliometric study, “Global Evolution of Research in Artificial Intelligence in Health and Medicine,” which has garnered over 458 citations. This work provides a sweeping, data-driven map of 27,451 papers, revealing the historical and geographical trajectory of AI in medicine—a foundational resource for the field. He further extends this inquiry into human factors, notably through his 2022 cross-sectional survey on the acceptance of emotional AI in Japan’s healthcare system (79 citations), demonstrating a nuanced understanding of technology adoption. By combining large-scale data analysis with rigorous survey methodology, Ho offers critical insights into how AI can be effectively and ethically integrated into real-world clinical settings. His work is essential reading for students and researchers interested in the intersection of AI, health policy, and the human dimensions of technological change.