Results 61 to 70 of about 1,007,642 (258)

End-to-end reproducible AI pipelines in radiology using the cloud

Nature Communications
Artificial intelligence (AI) algorithms hold the potential to revolutionize radiology. However, a significant portion of the published literature lacks transparency and reproducibility, which hampers sustained progress toward clinical translation ...
Dennis Bontempi, Leonard Nuernberg, Suraj Pai, Deepa Krishnaswamy, Vamsi Thiriveedhi, Ahmed Hosny, Raymond H. Mak, Keyvan Farahani, Ron Kikinis, Andrey Fedorov, Hugo J. W. L. Aerts   +10 more
doaj   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

MVI‐Depth: Multi‐View Indoor Depth Estimation Based on the Fusion of Semantic Information

CAAI Transactions on Intelligence Technology
Compared to monocular depth estimation, multi‐view depth estimation often yields more accurate results. However, traditional multi‐view depth estimation methods often fail to leverage semantic information fully and struggle to effectively fuse ...
Ying Zhu, Buyun Chen, Hong Liu, Xia Li
doaj   +1 more source

Optimization of braided stent design for cerebral aneurysms: the role of wire cross-sectional geometry

Frontiers in Bioengineering and Biotechnology
Flow-diverting stents are crucial for aneurysm treatment, with their structural design significantly impacting post-implantation hemodynamics. While clinically effective, opportunities remain to enhance their flexibility, flow diversion capability, and ...
Aohua Zhang, Xinru Li, Zhengbiao Yang, Yutang Xie, Tao Wu, Yanru Xue, Yanru Xue, Yanqin Wang, Yongwang Zhao, Weiyi Chen, Chenming Sun, Jinzhu Yin, Meng Zhang, Xiaogang Wu, Xuesong Li, Yonghong Wang   +15 more
doaj   +1 more source

A Formal Measure of Machine Intelligence

, 2006
A fundamental problem in artificial intelligence is that nobody really knows what intelligence is. The problem is especially acute when we need to consider artificial systems which are significantly different to humans.
Hutter, Marcus, Legg, Shane
core   +3 more sources

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Early discharge hospital at home as alternative to routine hospital care for older people: a systematic review and meta-analysis

BMC Medicine
Background The global population of adults aged 60 and above surpassed 1 billion in 2020, constituting 13.5% of the global populace. Projections indicate a rise to 2.1 billion by 2050.
Lulu Lin, Mengyuan Cheng, Yawei Guo, Xiaowen Cao, Weiming Tang, Xin Xu, Weibin Cheng, Zhongzhi Xu   +7 more
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Region‐to‐Region Unidirectional Connection In Vitro Brain Model for Studying Directional Propagation of Neuropathologies

Advanced Functional Materials, EarlyView.
A unidirectional cerebral organoid–organoid neural circuit is established using a microfluidic platform, enabling controlled directional propagation of electrical signals, neuroinflammatory cues, and neurodegenerative disease–related proteins between spatially separated organoids.
Kyeong Seob Hwang, Hui‐Wen Liu, Hyogeun Shin, Hyun Wook Kang, Minjin Kang, Jongbaeg Kim, Il‐Joo Cho, Nakwon Choi, Seok Chung, Hong Nam Kim   +9 more
wiley   +1 more source

Design of the Artificial: lessons from the biological roots of general intelligence

, 2017
Our desire and fascination with intelligent machines dates back to the antiquity's mythical automaton Talos, Aristotle's mode of mechanical thought (syllogism) and Heron of Alexandria's mechanical machines and automata.
Dehghani, Nima
core