Artificial Intelligence in CardioThoracic Sciences (AICTS)
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- 2023
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Mark
Intermittent scanning continuous glucose monitoring is safe and useful in postsurgical glucose monitoring after pancreatoduodenectomy
(
- Contribution to journal › Article
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Mark
Design of an AI Support for Diagnosis of Dyspneic Adults at Time of Triage in the Emergency Department
2023) European Emergency Medicine Congress 2023(
- Contribution to conference › Poster
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Mark
Effects of surgical specialization and surgeon resection volume on postoperative complications and mortality rate after emergent colon cancer resection
(
- Contribution to journal › Article
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Mark
EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text
2023)(
- Working paper/Preprint › Preprint in preprint archive
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Mark
A machine learning model for prediction of 30-day primary graft failure after heart transplantation
(
- Contribution to journal › Article
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Mark
Interpretable AI diagnostics for dyspnea in the emergency department by deep learning and a massive regional health care dataset
2023) Swedish Emergency Medicine Talks - SWEETS23(
- Contribution to conference › Poster
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Mark
Organ preservation and perfusion influence on outcome after clinical heart transplantation
2023) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
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Mark
Investigating Ancient Agricultural Field Systems In Sweden From Airborne Lidar Data By Using Convolutional Neural Network
(
- Contribution to journal › Article
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Mark
Sex and gender differences in treatment intention, quality of life and performance status in the first 100 patients with periampullary cancer enrolled in the CHAMP study
(
- Contribution to journal › Article
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Mark
Hyperglycemia and insulin infusion in pancreatoduodenectomy : a prospective cohort study on feasibility and impact on complications
(
- Contribution to journal › Article