Results 221 to 230 of about 218,595 (275)

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

Advanced Intelligent Discovery, EarlyView.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets, Matthias N. van Oosterom, Vera A. Ottens, Henk G. van der Poel, Fijs W. B. van Leeuwen   +4 more
wiley   +1 more source

Identifying high-risk patients having ERCP as a day surgery with an online prediction platform: Multicohort validation of a machine learning model

Endoscopy International Open
Boru Jin, Yi Wang, Xu Zhang, Jinyu Zhao, Wangping He, Kecheng Jin, Zhen Liu, Ruyang Zhong, Yuhu Ma, Chunlu Dong, Yanyan Lin, Xiaoliang Zhu, Kexiang Zhu, Lei Zhang, Ping Yue, Shuyan Li, Jinqiu Yuan, Xun Li, Wenbo Meng   +18 more
doaj   +1 more source

Parental Voices on Virtual Reality in Pediatric Oncology: Experiences, Needs, and Pathways for Co-Design. [PDF]

J Multidiscip Healthc
Hélie C, Véronneau J, Desjardins O, Barada L, Lebeau J, Ogez D.   +5 more
europepmc   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Role of schools in disaster risk management: a systematic review. [PDF]

BMC Emerg Med
Marzban A, Dowlati M, Moslehi S, Marzaleh MA.   +3 more
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Evaluating the Process of Patient Engagement: Insights from a Mixed-Methods Evaluation of a Cancer Center Patient Advisory Group. [PDF]

Health Expect
Kearney L, Battaglia T, Verma K, Shusterman S, Hall M, Fix G, Steiling K.   +6 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Performance of a single-use gastroscope for esophagogastroduodenoscopy: Prospective evaluation

Endoscopy International Open
Koen van der Ploeg, Pieter J.F. de Jonge, Wim J. Lammers, Arjun Dave Koch, Margreet C. Vos, Vemund Paulsen, Lars Aabakken, Marco Bruno   +7 more
doaj   +1 more source