Results 151 to 160 of about 270,692 (266)

Study on the application of deep learning artificial intelligence techniques in the diagnosis of nasal bone fracture. [PDF]

Int J Burns Trauma
Wang S, Fei J, Liu Y, Huang Y, Li L.
europepmc   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Scalable deep learning artificial intelligence histopathology slide analysis and validation. [PDF]

Sci Rep
Greeley C, Holder L, Nilsson EE, Skinner MK.   +3 more
europepmc   +1 more source

Artificial Intelligence and Machine Learning in Cardiology

JACC: Cardiovascular Interventions, 2019
R Jeffrey, Westcott, James E, Tcheng
openaire   +2 more sources

Hierarchical Multi‐Material Architectures With Gradient Design for Dynamic‐Range Flexible Tactile Sensing

Advanced Materials Technologies, EarlyView.
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi, Domenic Quiquero, Yan Yan Shery Huang, HaoTian Harvey Shi   +3 more
wiley   +1 more source

Portable Ultrasound Bladder Volume Measurement Over Entire Volume Range Using a Deep Learning Artificial Intelligence Model in a Selected Cohort: A Proof of Principle Study. [PDF]

Neurourol Urodyn
Jeong HJ, Seol A, Lee S, Lim H, Lee M, Oh SJ.   +5 more
europepmc   +1 more source

Deep-learning artificial intelligence analysis of clinical variables predicts mortality in COVID-19 patients. [PDF]

J Am Coll Emerg Physicians Open, 2020
Zhu JS, Ge P, Jiang C, Zhang Y, Li X, Zhao Z, Zhang L, Duong TQ.   +7 more
europepmc   +1 more source

At Home Detection of Ovarian Health Biomarker in Menstruation Blood

Advanced Materials Technologies, EarlyView.
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon, Thomas Rduch, Salma Sherif Azer, Inge K. Herrmann   +3 more
wiley   +1 more source

Feasibility of real-time compression frequency and compression depth assessment in CPR using a "machine-learning" artificial intelligence tool. [PDF]

Resusc Plus
Ecker H, Adams NB, Schmitz M, Wetsch WA.
europepmc   +1 more source

Extrusion Bioprinting for Wound Healing: Innovations in Functionalized Bioinks and Bioprinting Technology

Advanced Materials Technologies, EarlyView.
Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le, Anh Tuan Trong Tran, Ammara Waheed, Tran Thanh Tung, Dusan Losic   +4 more
wiley   +1 more source