Dr. Fu Huazhu, a Principal Scientist at the A*STAR Institute of High Performance Computing, is at the forefront of enhancing AI reliability in medical diagnostics, particularly in the interpretation of medical images.

His research underscores the critical role of high-quality training data, as AI technology has the potential to significantly improve medical diagnostics through faster and more accurate analyses.

To bolster trustworthiness in clinical settings, Dr. Fu emphasizes the necessity of designing AI models that can flag problematic data.

He acknowledges that variability in the quality of medical images can lead to uncertainty, highlighting the need for careful verification by trained professionals to avoid misdiagnosis.

Dr. Fu's current research specifically targets the identification and quantification of uncertainty in medical image analysis, with a focus on diagnosing eye diseases in partnership with ophthalmologists.

In his efforts, he seeks to attract young researchers who possess a strong passion for research, collaboration, and a willingness to learn, alongside technical programming skills.

Beyond healthcare, Dr. Fu believes that AI can transform various fields, provided that researchers remain dedicated to solving real-world problems.