Isabella Castiglioni

University of Milano-Bicocca

Papers

2

Total Citations

17

H-Index

2

About

Isabella Castiglioni is a leading researcher at the intersection of artificial intelligence and women’s health, with a particular focus on endometriosis and adenomyosis. Her work critically examines how AI can transform the management of these complex gynecological conditions, from improving diagnostic accuracy to personalizing treatment pathways. In her highly cited 2024 narrative review, *“Artificial Intelligence in the Management of Women with Endometriosis and Adenomyosis: Can Machines Ever Be Worse Than Humans?”*—which has already garnered 15 citations—Castiglioni provocatively questions the limits of automation while championing its potential. She argues that AI’s ability to analyze vast datasets and identify subtle patterns can surpass human capability in early detection and risk stratification, yet she remains attuned to the ethical and clinical challenges of machine-driven care. Her contributions are shaping a new paradigm where AI serves as a collaborative tool, not a replacement, for clinicians. With a growing citation impact and a reputation for bridging technical rigor with compassionate healthcare, Castiglioni is a pivotal voice in the responsible integration of artificial intelligence into gynecology and reproductive medicine.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Intelligence in the Management of Women with Endometriosis and Adenomyosis: Can Machines Ever Be Worse Than Humans?
15 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Milano-Bicocca

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago