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

Artificial Intelligence-Assisted Surgical Scene Recognition: A Comparative Study Among Health Care Professionals

人工智能辅助手术场景识别:医疗保健专业人员的比较研究

Williams, Simon C; Zhou, Jinfan; Muirhead, William R; Khan, Danyal Z; Koh, Chan Hee; Ahmed, Razna; Funnell, Jonathan P; Hanrahan, John G; Ali, Alshaymaa Mortada; Ghosh, Shankhaneel; Saridoğan, Tarik; Valetopoulou, Alexandra; Grover, Patrick; Stoyanov, Danail; Murphy, Mary; Mazomenos, Evangelos B; Marcus, Hani J

Interdisciplinary Dialogues on Surgical Data Science: Revising Its Benefits for Surgical Stakeholders and Patients

关于外科数据科学的跨学科对话:重新审视其对外科利益相关者和患者的益处

Bombieri, Marco; Huaulmé, Arnaud; Cleary, Kevin; Giannarou, Stamatia; Kronreif, Gernot; Mathis-Ullrich, Franziska; Mazomenos, Evangelos; Timoh, Krystel Nyangoh; Pfeiffer, Micha; Zenati, Marco A; Fiorini, Paolo; Jannin, Pierre

A surgical approach to building impactful artificial intelligence

构建具有影响力的人工智能的外科手术式方法

Williams, Simon C; Khan, Danyal Z; Bano, Sophia; Blandford, Ann; Clarkson, Matthew J; Costanza, Enrico; Mazomenos, Evangelos B; Stoyanov, Danail; McCulloch, Peter; Marcus, Hani J

Assessing perioperative risks in a mixed elderly surgical population using machine learning: A multi-objective symbolic regression approach to cardiorespiratory fitness derived from cardiopulmonary exercise testing

利用机器学习评估老年混合手术人群的围手术期风险:基于心肺运动试验的心肺适能多目标符号回归方法

Arina, Pietro; Ferrari, Davide; Kaczorek, Maciej R; Tetlow, Nicholas; Dewar, Amy; Stephens, Robert; Martin, Daniel; Moonesinghe, Ramani; Singer, Mervyn; Whittle, John; Mazomenos, Evangelos B

A Rectal Cancer Surgery Dataset: Use of artificial intelligence to aid automation of error identification

直肠癌手术数据集:利用人工智能辅助自动识别错误

Ghamrawi, Walaa; Curtis, Nathan; Xu, Jialang; Boal, Matt; Mazomenos, Evangelos; Edwards, Eddie; Stoyanov, Danail; Francis, Nader

Mortality prediction after major surgery in a mixed population through machine learning: a multi-objective symbolic regression approach

利用机器学习预测混合人群重大手术后的死亡率:一种多目标符号回归方法

Arina, Pietro; Ferrari, Davide; Tetlow, Nicholas; Dewar, Amy; Stephens, Robert; Martin, Daniel; Moonesinghe, Ramani; Curcin, Vasa; Singer, Mervyn; Whittle, John; Mazomenos, Evangelos B

Metabolic Flexibility as a Candidate Mechanism for the Development of Postoperative Morbidity

代谢灵活性作为术后并发症发生的潜在机制

Arina, Pietro; Whittle, John; Kaczorek, Maciej R; Ferrari, Davide; Tetlow, Nicholas; Dewar, Amy; Stephens, Robert; Martin, Daniel; Moonesinghe, S Ramani; Mazomenos, Evangelos B; Singer, Mervyn

The ACPGBI AI taskforce report: A mixed-methods roadmap for AI in colorectal surgery

ACPGBI人工智能工作组报告:人工智能在结直肠手术中的混合方法路线图

Kinross, James M; Lam, Kyle; Yiu, Andrew; Adams, Katie; Altaf, Kiran; Burns, Elaine; Duffourc, Mindy; Eardley, Nicola; Evans, Charles; Giannarou, Stamatia; Hancock, Laura; Hu, Victoria; Javed, Ahsan; Khare, Shivank; Mazomenos, Evangelos; McGeever, Linnet; Moug, Susan; Nastro, Piero; Ourselin, Sebastien; Ramamoorthy, Subramanian; Roxburgh, Campbell; Simister, Catherine; Stoyanov, Danail; Thomas, Gregory; Valdastri, Pietro; Vass, Marcus; Vimalachandran, Dale; Vercauteren, Tom; Davies, Justin

SwinCVS: a unified approach to classifying critical view of safety structures in laparoscopic cholecystectomy

SwinCVS:一种用于对腹腔镜胆囊切除术中安全结构关键视野进行分类的统一方法

Nowak, Franciszek M; Mazomenos, Evangelos B; Davidson, Brian; Clarkson, Matthew J

KEVS: enhancing segmentation of visceral adipose tissue in pre-cystectomy CT with Gaussian kernel density estimation

KEVS:利用高斯核密度估计增强膀胱切除术前CT图像中内脏脂肪组织的分割

Boucher, Thomas; Tetlow, Nicholas; Fung, Annie; Dewar, Amy; Arina, Pietro; Kerneis, Sven; Whittle, John; Mazomenos, Evangelos B