日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Fetal cardiac remodeling in second trimester in pregnancies with pre-eclampsia and/or fetal growth restriction: deep-learning-based approach using population-wide data

妊娠中期合并先兆子痫和/或胎儿生长受限的胎儿心脏重塑:基于人群数据的深度学习方法

Taksøe-Vester, C A; Mikolaj, K; Petersen, O B; Ekelund, C K; Vejlstrup, N G; Vedel, C; Christensen, A N; Feragen, A; Nielsen, M; Tolsgaard, M G

To guide or not to guide: A randomized study on the use of needle guide for chorionic villus sampling training

是否需要引导:一项关于使用针导向器进行绒毛膜取样训练的随机研究

Johnsson, Vilma; Petersen, Olav B; Svendsen, Morten Bo Søndergaard; Kulasegaram, Kulamakan; Nørgaard, Lone Nikoline; Harmsen, Lotte; Noerholk, Laerke Marijke; Sundberg, Karin; Tolsgaard, Martin G

Can non-pharmacological comfort care replace fentanyl in LISA? The NONA-LISA feasibility study

在LISA治疗中,非药物舒适护理能否替代芬太尼?NONA-LISA可行性研究

Breindahl, Niklas; Henriksen, Tine Brink; Heiring, Christian; Bay, Emma Therese; Haaber, Jannie; Salmonsen, Tenna Gladbo; Agergaard, Peter; Carlsen, Emma Louise Malchau; Tolsgaard, Martin Grønnebæk; Aunsholt, Lise

Predicting abnormal fetal growth using deep learning

利用深度学习预测胎儿异常生长

Mikołaj, Kamil Wojciech; Christensen, Anders Nymark; Taksøe-Vester, Caroline Amalie; Feragen, Aasa; Petersen, Olav Bjørn; Lin, Manxi; Nielsen, Mads; Svendsen, Morten Bo Søndergaard; Tolsgaard, Martin Grønnebæk

Clinical validation of explainable AI for fetal growth scans through multi-level, cross-institutional prospective end-user evaluation

通过多层次、跨机构的前瞻性最终用户评估,对可解释人工智能在胎儿生长扫描中的临床应用进行验证

Bashir, Zahra; Lin, Manxi; Feragen, Aasa; Mikolaj, Kamil; Taksøe-Vester, Caroline; Christensen, Anders Nymark; Svendsen, Morten B S; Fabricius, Mette Hvilshøj; Andreasen, Lisbeth; Nielsen, Mads; Tolsgaard, Martin Grønnebæk

Assessing competency in less invasive surfactant administration: simulation-based validity evidence for the LISA-AT scores

评估微创表面活性剂给药能力:基于模拟的LISA-AT评分效度证据

Breindahl, Niklas; Bay, Emma Therese; Heiring, Christian; MacLean-Nyegaard, Ingrid Rose; Gudiksen, Amalie; Frithioff, Andreas; Henriksen, Tine Brink; Tolsgaard, Martin Grønnebæk; Aunsholt, Lise

Artificial intelligence-based action recognition and skill assessment in robotic cardiac surgery simulation: a feasibility study

基于人工智能的机器人心脏手术模拟中的动作识别和技能评估:可行性研究

Atroshchenko, Gennady V; Korup, Lærke Riis; Hashemi, Nasseh; Østergaard, Lasse Riis; Tolsgaard, Martin G; Rasmussen, Sten

Video-based robotic surgical action recognition and skills assessment on porcine models using deep learning

基于视频的机器人手术动作识别和猪模型技能评估(采用深度学习)

Hashemi, Nasseh; Mose, Matias; Østergaard, Lasse R; Bjerrum, Flemming; Hashemi, Mostaan; Svendsen, Morten B S; Friis, Mikkel L; Tolsgaard, Martin G; Rasmussen, Sten

Human-AI collaboration for ultrasound diagnosis of thyroid nodules: a clinical trial

人机协作超声诊断甲状腺结节:一项临床试验

Edström, Axel Bukhave; Makouei, Fatemeh; Wennervaldt, Kasper; Lomholt, Anne Fog; Kaltoft, Mikkel; Melchiors, Jacob; Hvilsom, Gitte Bjørn; Bech, Magne; Tolsgaard, Martin; Todsen, Tobias

AI supported fetal echocardiography with quality assessment

人工智能辅助胎儿超声心动图及质量评估

Taksoee-Vester, Caroline A; Mikolaj, Kamil; Bashir, Zahra; Christensen, Anders N; Petersen, Olav B; Sundberg, Karin; Feragen, Aasa; Svendsen, Morten B S; Nielsen, Mads; Tolsgaard, Martin G