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251-260 trong số 993 kết quả
Developing Trustworthy Artificial Intelligence Models to Predict Vascular Disease Progression: the VASCUL-AID-RETRO Study Protocol
Tác giả: Lotte Rijken, Sabrina Zwetsloot, Regent Lee, Katarzyna Bera, Jenny Buisan, Ping Zhang, Marina Dias-Neto, Juliette Raffort, Fabien Lareyre, Catelijne Muller, Igor Koncar, Ivan Tomic, Stefan Smorenburg, Maja Živković, Tamara Djuric, Aleksandra Stankovic, Maarit Venermo, Riikka Tulamo, Christian-Alexander Behrendt, Noeska Smit, Marlies Schijven, Bert-Jan van den Born, Ronak Delewi, Jelmer Wolterink, Vincent Jongkind, Venkat Ayyalasomayajula, Kak Khee Yeung, Ivana Išgum, Henk Marquering, Jan van Duivenvoorde, Corrette Ploem, Roosmarie Jessen, Fabio Catarinella
Xuất bản: United States: Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists , 2025
Bộ sưu tập: NCBI
ddc:  025.218
 
Combining machine learning models and rule engines in clinical decision systems: Exploring optimal aggregation methods for vaccine hesitancy prediction
Tác giả: Slawomir Kierner, Piotr Kierner, Jacek Kucharski
Xuất bản: United States: Computers in biology and medicine , 2025
Bộ sưu tập: NCBI
ddc:  657.862
 
Deep learning models for differentiating three sinonasal malignancies using multi-sequence MRI
Tác giả: Luxi Wang, Naier Lin, Wei Chen, Hanyu Xiao, Yiyin Zhang, Yan Sha
Xuất bản: England: BMC medical imaging , 2025
Bộ sưu tập: NCBI
ddc:  616.145
 
New machine-learning models outperform conventional risk assessment tools in Gastrointestinal bleeding
Tác giả: Eszter Boros, József Pintér, Endre Botond Gagyi, Imre Szabó, Roland Hágendorn, Áron Vincze, Ferenc Izbéki, Zsolt Abonyi-Tóth, Andrea Szentesi, Vivien Vass, Péter Hegyi, Bálint Erőss, Roland Molontay, Kristóf Gergely Prószéky, Nóra Vörhendi, Orsolya Anna Simon, Brigitta Teutsch, Dániel Pálinkás, Levente Frim, Edina Tari
Xuất bản: England: Scientific reports , 2025
Bộ sưu tập: NCBI
ddc:  612.665
 
Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data
Tác giả: Austin A Barr, Joshua Quan, Eddie Guo, Emre Sezgin
Xuất bản: Switzerland: Frontiers in artificial intelligence , 2025
Bộ sưu tập: NCBI
ddc:  340
 
Effects of comprehensive intervention models on cognitive frailty in community-dwelling older adults: A 12-month follow-up study
Tác giả: Jin Hua Huang, Qing Song Wang, Chen Yang Meng, Rui Min Zhuo, Xin Yu Su, Qing Yuan Xu, Yu Hao Jiang, Yu Han Li, Song Bai Li, Lan Lan Yang, Rui Wen Zang
Xuất bản: United States: Geriatric nursing (New York, N.Y , 2025
Bộ sưu tập: NCBI
ddc:  363.737
 
Organoid models of drug resistant gastric adenosquamous carcinoma: Recapitulating tumor features and refining precision treatment
Tác giả: Kuan Li, Wenchao Li, Jie Zhou, Jia Li, Changhua Zhang, Wei Chen, Leli Zeng, Yulong He, Shuying Fu, Chen Wang, Kexin Wang, Huan Yang, Yumei Xian, Tengfei Hao, Shiwei Zhang, Tianshun Gao
Xuất bản: Scotland: Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy , 2025
Bộ sưu tập: NCBI
ddc:  612.841
 
Protein language models for predicting drug-target interactions: Novel approaches, emerging methods, and future directions
Tác giả: Atabey Ünlü, Erva Ulusoy, Melih Gökay Yiğit, Melih Darcan, Tunca Doğan
Xuất bản: England: Current opinion in structural biology , 2025
Bộ sưu tập: NCBI
ddc:  280.4
 
MRI-derived radiomics models for prediction of Ki-67 index status in meningioma: a systematic review and meta-analysis
Tác giả: Nima Broomand Lomer, Fattaneh Khalaj, Hamed Ghorani, Mohammad Mohammadi, Delaram J Ghadimi, Sina Zakavi, Mahshad Afsharzadeh, Houman Sotoudeh
Xuất bản: United States: Clinical imaging , 2025
Bộ sưu tập: NCBI
ddc:  232.964
 
Traditional and machine learning models for predicting haemorrhagic transformation in ischaemic stroke: a systematic review and meta-analysis
Tác giả: Yanan Wang, Zengyi Zhang, Zhimeng Zhang, Xiaoying Chen, Junfeng Liu, Ming Liu
Xuất bản: England: Systematic reviews , 2025
Bộ sưu tập: NCBI
ddc:  621.3132
 

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