Results 141 to 150 of about 4,244,137 (329)

Artificial Intelligence for Bone: Theory, Methods, and Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan   +3 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu   +4 more
wiley   +1 more source

Evaluation of the analgesia nociception index for monitoring intraoperative analgesia in children

open access: yesBritish Journal of Anaesthesia, 2018
F. Julien-Marsollier   +9 more
semanticscholar   +1 more source

A Soft‐Tip Hydraulically Steerable Catheter for Enhanced Flexibility and Safety in Vascular Interventions

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a hydraulically steerable catheter with a soft tip in vascular procedures. The steering soft tip achieves a minimal diameter of 2.6 mm and supports a 180° bend. Real‐time shape and position tracking, facilitated by segmentation and endpoint detection techniques, improves navigation.
Jingyi Kang   +9 more
wiley   +1 more source

Monitoring Devices for Measuring the Depth of Anaesthesia - An Overview

open access: yesIndian Journal of Anaesthesia, 2007
Achieving adequate depth of anaesthesia during surgical procedures is desirable. Therefore, assessment and monitoring/ measurement of the depth of anaesthesia are fundamental to anaesthetic practice.
Prabhat Kumar Sinha, Thomas Koshy
doaj  

Transversus abdominis plane block reduces remifentanil and propofol consumption, evaluated by closed-loop titration guided by bispectral index. [PDF]

open access: yes, 2018
The present prospective, randomized, double-blind study aimed to determine the impact of transversus abdominis plane (TAP) block on propofol and remifentanil consumption, when administered by closed-loop titration guided by processed ...
Jiang, Mei-Ru   +7 more
core  

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong   +4 more
wiley   +1 more source

A new mini-navigation tool allows accurate component placement during anterior total hip arthroplasty. [PDF]

open access: yes, 2018
Introduction: Computer-assisted navigation systems have been explored in total hip arthroplasty (THA) to improve component positioning. While these systems traditionally rely on anterior pelvic plane registration, variances in soft tissue thickness ...
Benson, Jessica R.   +2 more
core   +1 more source

Semi‐autonomous Navigation of Magnetic Microcarriers for Knee Cartilage Regeneration

open access: yesAdvanced Intelligent Systems, EarlyView.
Autonomous navigation of magnetic microcarriers in complex 3D environments is investigated through a semi‐autonomous strategy integrating magnetic actuation with monocular visual feedback. Real‐time global tracking is achieved via radio‐frequency‐based localization and depth estimation, while model‐based computation determines optimal steering forces ...
Kim Tien Nguyen   +3 more
wiley   +1 more source

Dual‐Scale Transformer Fusion With Meta Learning for Micro Metastasis Detection in Thyroid Cancer

open access: yesAdvanced Intelligent Systems, EarlyView.
A dual‐scale transformer model enhanced by meta‐learning enables accurate detection of tiny metastatic lesions in thyroid cancer. By combining cellular and tissue‐level features, the method outperforms existing models and shows strong adaptability to rare cases with limited data.
Jingtao Wang   +5 more
wiley   +1 more source

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