Jalal Assouad

Inserm, Sorbonne Université

Papers

5

Total Citations

75

H-Index

4

About

Jalal Assouad is a leading thoracic surgeon whose research focuses on the intersection of advanced surgical techniques, artificial intelligence, and healthcare efficiency. His work primarily explores the integration of robotic-assisted surgery (RAS) in thoracic oncology, particularly for lung cancer, and the systemic impacts of these technologies on public health systems. Assouad’s major contributions include demonstrating that RAS can significantly reduce hospital length of stay—a critical finding for resource-constrained public hospitals, as shown in his 2024 retrospective analysis of Paris public hospitals (8 citations). He has also critically examined the role of artificial intelligence in thoracic surgery, outlining both its transformative potential and current limitations (52 citations). During the COVID-19 pandemic, his research assessed how the crisis affected robotic surgical procedures, providing vital data on maintaining oncological care during disruptions (8 citations). His work on the costs and outcomes of introducing RAS in public hospitals (5 citations) offers practical guidance for healthcare administrators. Assouad’s research is notable for its real-world impact, directly informing surgical policy and resource allocation in major hospital networks.

Research Focus

Key Achievements

4
H-Index
5
Papers
75
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Artificial intelligence in thoracic surgery: past, present, perspective and limits
52 citations · 2020
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: Inserm, Sorbonne Université

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago