Martin Sillesen

Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study

2021 · 109 Zit. · The Lancet Digital Health

Assessing the utility of deep neural networks in detecting superficial surgical site infections from free text electronic health record data

2024 · 12 Zit. · Frontiers in Digital Health

Assessing the utility of natural language processing for detecting postoperative complications from free medical text

2024 · 7 Zit. · BJS Open

Assessing the Utility of Deep Neural Networks in Detecting Superficial Surgical Site Infections From Free Text Electronic Health Record Data

2023 · 1 Zit. · Research Square

TOWARDS AN AI-DRIVEN REGISTRY FOR POSTOPERATIVE COMPLICA-TIONS: A PROOF-OF-CONCEPT STUDY EVALUATING THE OPPORTUNITIES AND CHALLENGES OF AI-MODELS

2025 · 1 Zit. · medRxiv

An assessment of the value of deep neural networks in genetic risk prediction for surgically relevant outcomes

2024 · 1 Zit. · medRxiv

An assessment of the value of deep neural networks in genetic risk prediction for surgically relevant outcomes

2024 · 1 Zit. · PLoS ONE

Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish

2025 · 0 Zit. · ArXiv.org

Towards an AI-driven registry for postoperative complications: a proof-of-concept study evaluating the opportunities and challenges of AI models

2025 · 0 Zit. · BMJ Health & Care Informatics

Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish (Preprint)

2026 · 0 Zit.