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

Understanding pre-training data effects in retinal foundation models using two large fundus cohorts

利用两个大型眼底队列研究视网膜基础模型中预训练数据的影响

Zhou, Yukun; Wang, Zheyuan; Wu, Yilan; Ong, Ariel Yuhan; Wagner, Siegfried K; Ruffell, Eden; Chia, Mark A; Guan, Zhouyu; Ju, Lie; Engelmann, Justin; Merle, David A; Li, Tingyao; Shu, Jia; Nderitu, Paul; Zou, Ke; Goh, Jocelyn Hui Lin; Hou, Qingshan; Liu, Xiaoxuan; Wang, Yaxing; Tham, Yih Chung; Altmann, Andre; Cheung, Carol Y; Alexander, Daniel C; Topol, Eric J; Denniston, Alastair K; Wong, Tien Yin; Sheng, Bin; Keane, Pearse A

Current challenges and the way forwards for regulatory databases of artificial intelligence as a medical device

当前人工智能医疗器械监管数据库面临的挑战及未来发展方向

Ong, Ariel Yuhan; Kale, Aditya U; Antoun, Joe; Hogg, Henry David Jeffry; Hammond, Ben; Keane, Pearse A; Pearson, Russell; Harvey, Hugh; Denniston, Alastair K

Considering the missing science of retraining and maintenance in medical artificial intelligence, using ophthalmology as an exemplar

考虑到医疗人工智能领域在再培训和维护方面的科学研究不足,以眼科为例

Ong, Ariel Yuhan; Struyven, Robbert R; Denniston, Alastair K; Merle, David A; Engelmann, Justin; Kim, Hyunmin; Zhou, Yukun; Keane, Pearse A; Lains, Ines

Retinal Perfusion and Injury in Sepsis and after Major Surgery

脓毒症及重大手术后的视网膜灌注和损伤

Courtie, Ella; Mallawaarachchi, Gagana; Kale, Aditya U; Gilani, Ahmed; Capewell, Nicholas; Holding, Donna; Hui, Benjamin T K; Liu, Xiaoxuan; Laws, Elinor; Logan, Ann; Whitehouse, Tony; Denniston, Alastair K; Veenith, Tonny; Blanch, Richard J

Role of the general medical registrar in performing out-of-hours pleural procedures: a UK national survey of trainee and trainer perspectives

普通内科住院医师在非工作时间进行胸膜手术中的作用:英国一项针对受训医师和培训医师观点的全国性调查

Jajbhay, Danyal; Aujayeb, Avinash; Denniston, Poppy; Juniper, Mark; Liang, Janeth; Shotton, Hannah; Zhang, Junyi; Kadwani, Owais

Large language models for frontline healthcare support in low-resource settings

用于资源匮乏环境下一线医疗保健支持的大型语言模型

Rutunda, Samuel; Williams, Gwydion; Kabanda, Kleber; Nkurunziza, Francis; Uwiduhaye, Solange; Rugegamanzi, Eulade; Nshimiyimana, Cyprien; Menon, Vaishnavi; Emmanuel-Fabula, Mira; Denniston, Alastair K; Liu, Xiaoxuan; Hezagira, Emery; Mateen, Bilal A

Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches

临床预测模型风险评估的不确定性:原理、挑战和方法

Riley, Richard D; Collins, Gary S; Kirton, Laura; Snell, Kym Ie; Ensor, Joie; Whittle, Rebecca; Dhiman, Paula; van Smeden, Maarten; Liu, Xiaoxuan; Alderman, Joseph; Nirantharakumar, Krishnarajah; Manson-Whitton, Jay; Westwood, Andrew J; Cazier, Jean-Baptiste; Moons, Karel G M; Martin, Glen P; Sperrin, Matthew; Denniston, Alastair K; Harrell, Frank E Jr; Archer, Lucinda

PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

PROBAST+AI:一款针对使用回归或人工智能方法的预测模型,进行质量、偏倚风险和适用性评估的更新工具

Moons, Karel G M; Damen, Johanna A A; Kaul, Tabea; Hooft, Lotty; Andaur Navarro, Constanza; Dhiman, Paula; Beam, Andrew L; Van Calster, Ben; Celi, Leo Anthony; Denaxas, Spiros; Denniston, Alastair K; Ghassemi, Marzyeh; Heinze, Georg; Kengne, André Pascal; Maier-Hein, Lena; Liu, Xiaoxuan; Logullo, Patricia; McCradden, Melissa D; Liu, Nan; Oakden-Rayner, Lauren; Singh, Karandeep; Ting, Daniel S; Wynants, Laure; Yang, Bada; Reitsma, Johannes B; Riley, Richard D; Collins, Gary S; van Smeden, Maarten

Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations

解决算法偏差问题并提高健康数据集的透明度:STANDING Together 共识建议

Alderman, Joseph E; Palmer, Joanne; Laws, Elinor; McCradden, Melissa D; Ordish, Johan; Ghassemi, Marzyeh; Pfohl, Stephen R; Rostamzadeh, Negar; Cole-Lewis, Heather; Glocker, Ben; Calvert, Melanie; Pollard, Tom J; Gill, Jaspret; Gath, Jacqui; Adebajo, Adewale; Beng, Jude; Leung, Cassandra H; Kuku, Stephanie; Farmer, Lesley-Anne; Matin, Rubeta N; Mateen, Bilal A; McKay, Francis; Heller, Katherine; Karthikesalingam, Alan; Treanor, Darren; Mackintosh, Maxine; Oakden-Rayner, Lauren; Pearson, Russell; Manrai, Arjun K; Myles, Puja; Kumuthini, Judit; Kapacee, Zoher; Sebire, Neil J; Nazer, Lama H; Seah, Jarrel; Akbari, Ashley; Berman, Lew; Gichoya, Judy W; Righetto, Lorenzo; Samuel, Diana; Wasswa, William; Charalambides, Maria; Arora, Anmol; Pujari, Sameer; Summers, Charlotte; Sapey, Elizabeth; Wilkinson, Sharon; Thakker, Vishal; Denniston, Alastair; Liu, Xiaoxuan

Machine learning derived retinal pigment score from ophthalmic imaging shows ethnicity is not biology

基于眼科影像的机器学习视网膜色素评分表明,种族并非生物学因素。

Rajesh, Anand E; Olvera-Barrios, Abraham; Warwick, Alasdair N; Wu, Yue; Stuart, Kelsey V; Biradar, Mahantesh I; Ung, Chuin Ying; Khawaja, Anthony P; Luben, Robert; Foster, Paul J; Cleland, Charles R; Makupa, William U; Denniston, Alastair K; Burton, Matthew J; Bastawrous, Andrew; Keane, Pearse A; Chia, Mark A; Turner, Angus W; Lee, Cecilia S; Tufail, Adnan; Lee, Aaron Y; Egan, Catherine