معرفی
Ahmed Hassoon is an Assistant Research Professor at the Johns Hopkins Bloomberg School of Public Health, with a primary appointment in the Department of Epidemiology and joint appointments in the Department of Neurology at the School of Medicine and the School of Engineering. He is affiliated with several key research centers, including the Welch Center for Prevention, Epidemiology and Clinical Research, the Center for Diagnostic Excellence, and the Center for Humanitarian Health.
- MPH, Johns Hopkins Bloomberg School of Public Health, 2014
- MD, Baghdad College of Medicine, 2004
Dr. Hassoon’s research is centered on leveraging data science and artificial intelligence to improve healthcare quality and safety, particularly in diagnostic accuracy. His work spans applications in lung cancer, stroke, and emergency medicine, with a strong emphasis on reducing diagnostic errors using frameworks like symptom-disease pair analysis (SPADE). He is deeply engaged in developing AI models that reason across multiple clinical modalities to enhance patient outcomes.
His recent publications highlight a strong trend in diagnostic safety, AI-driven interventions, and epidemiological analysis of misdiagnosis harms. Key themes include the validation of computable phenotypes, measurement of diagnostic error burden, and the impact of mental health on acute care diagnostics.
- Hubert Humphrey Fellowship Award, U.S. Department of State (2010)
- US President Appreciation Certificate, The White House (2011)
- Atlas Corps Award (2012)
- Sommer Scholarship Award (2013)
- State of Maryland Cigarette Restitution Fund Faculty and Translational Research Awards (2016–2017)
- Institute for Healthcare Improvement (IHI) Fellowship (2024)
Dr. Hassoon is a recipient of the AHRQ K08 Career Development Award focused on improving cancer diagnostic safety at Johns Hopkins Hospital. He co-instructs graduate-level courses in data science and AI with Professor Brian Caffo, contributing to the training of the next generation of public health data scientists. He has not formally advised students listed in the provided texts. His collaborative research spans multiple institutions and has been widely disseminated through policy, news, and social media, indicating significant real-world impact.
His work is deeply integrated with the Welch Center and the Center for Diagnostic Excellence, where he contributes to translational research initiatives aimed at improving clinical decision-making and patient safety through innovative data-driven approaches.
