Results 261 to 270 of about 5,340,979 (387)

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced 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, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Preoperative rehabilitation and in-hospital mortality in delayed hip fracture surgery: a nationwide cohort study with stratification by kidney function. [PDF]

BMC Geriatr
Okada A, Honda A, Yamaguchi S, Inoue R, Kurakawa KI, Yamauchi T, Chikuda H, Kadowaki T, Nangaku M.   +8 more
europepmc   +1 more source

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

Robotic Needle Steering for Percutaneous Interventions: Sensing, Modeling, and Control

Advanced Intelligent Systems, EarlyView.
This review examines recent advances in robotic needle steering for percutaneous interventions, highlighting closed‐loop sensing, physics‐informed tissue‐needle interaction modeling, and real‐time trajectory planning and control. It synthesizes innovations in deep learning, fiber‐optic feedback, and adaptive control strategies, and outlines emerging ...
Fangjiao Zhao, Ruixue Xu, Wujun Zhao, Xi‐Ming Sun, Yu Sun, Changsheng Dai   +5 more
wiley   +1 more source

Telemedicine in the preoperative setting: turning potential into practice. [PDF]

J Anesth Analg Crit Care
Bignami EG, Guarnieri M, Baldini G, Barneschi C, Coletta G, De Robertis E, Greco M, Loriga B, Marinangeli F, Pavoni V, Piroli A, Vetrugno L, Bellini V.   +12 more
europepmc   +1 more source

Predicting Postresection Colorectal Liver Metastases Recurrence Using Advanced Graph Neural Networks with Explainability and Causal Inference

Advanced Intelligent Systems, EarlyView.
This study introduces a framework that combines graph neural networks with causal inference to forecast recurrence and uncover the clinical and pathological factors driving it. It further provides interpretability, validates risk factors via counterfactual and interventional analyses, and offers evidence‐based insights for treatment planning ...
Jubair Ahmed, Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Sami Azam   +3 more
wiley   +1 more source

Opioid consumption after knee arthroscopy [PDF]

, 2018
Bogunovic, Ljiljana, Brophy, Robert H, Garofoli, Elizabeth A, Green, John R, Haas, Amanda K, Holloway, Wendy L, Matava, Matthew J, Smith, Matthew V, Wojahn, Robert D, Wright, Rick W, Zalomek, Corinne A   +10 more
core   +1 more source

Development of the general surgeon professional skills in the mediate preoperative care

, 2022
Amy Torres Montes de, Malena de los Milagros Zelada Pérez, Maria Eugenia García Céspedes, Marta Campos Muñoz   +3 more
openalex   +1 more source

Hospital-community continuity of care in fragile patients before and after major surgery-an exploratory case control study. [PDF]

BMC Geriatr
Ron R, Goldstein H, Aharonovich N, Sholomovich L, Weiss Y, Gross-Nevo RF.   +5 more
europepmc   +1 more source

Edge Information‐Augmented Auxiliary Diagnosis Method for Cervical Cancer in Medical Decision‐Making Systems

Advanced Intelligent Systems, EarlyView.
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen, Xiaoqing Zhang, Tingyi Dai, Fangfang Gou, Jia Wu   +4 more
wiley   +1 more source