Results 151 to 160 of about 243,938 (293)

AN EVALUATION OF PRE-EMPTIVE ANALGESIA IN PATIENTS UNDERGOING MINOR SURGICAL PROCEDURES BY ADMINISTERING PENTAZOCINE, FENTANYL AND TRAMADOL AS PRE-OPERATIVE ANALGESICS AND KETOROLAC AS POSTOPERATIVE ANALGESIC – A COMPARISON USING KETOROLAC AS STANDARD DRUG. [PDF]

, 2017

openalex   +1 more source

Phenotypic plasticity in a novel set of EGFR tyrosine kinase inhibitor‐adapted non‐small cell lung cancer cell lines

FEBS Open Bio, EarlyView.
Phenotypic plasticity in a newly established set of EGFR inhibitor‐adapted NSCLC cell lines during adaptation and in established cell lines. Here, we introduce novel sublines of the EGFR‐mutant non‐small cell lung cancer (NSCLC) cell lines HCC827 and HCC4006 adapted to the EGFR kinase inhibitors gefitinib (HCC827rGEFI2μm, HCC4006rGEFI1μm), erlotinib ...
Tharsagini V. Nanthaprakash, Campbell W. Gourlay, Ina Oehme, Michelle D. Garrett, Jindrich Cinatl Jr, Mark N. Wass, Martin Michaelis   +6 more
wiley   +1 more source

Evaluating the Clinical Utility of Robotic Systems in Plastic and Reconstructive Surgery: A Systematic Review. [PDF]

Sensors (Basel)
Seth I, Lim K, Chang E, Rozen WM, Ng SK.
europepmc   +1 more source

AB104. SOH22ABS156. Is there a role for an operative note proforma for common on call surgical procedures?—A clinical audit assessing the quality of operative notes in incision and drainage of pilonidal abscesses

, 2022
Oisín O’Donnell, Daniel Westby, Jonathan A. Coulter, Gerry Byrnes   +3 more
openalex   +1 more source

Semi‐automated hippocampal avoidance whole‐brain radiotherapy planning

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Hippocampal avoidance whole‐brain radiotherapy (HA‐WBRT) is designed to spare cognitive function by reducing radiation dose to the hippocampus during the treatment of brain metastases. Current manual planning methods can be time‐consuming and may vary in quality, necessitating the development of automated approaches to streamline ...
Dong Joo Rhee, Subha Perni, Kelly J. Perrin, Kevin E. Casey, Alexandra O. Leone, Callistus M. Nguyen, Laurence E. Court, He Wang, Xin Wang, Eun Young Han   +9 more
wiley   +1 more source

Systematic Review of Surgical Success, Complications, Revision Rates, Radiation Dosage, and Operative Time of 3D-Navigated versus Non-Navigated Spinal Procedures

Ikaasa Suri, Bahie Ezzat, S. Suthakaran, Juan Sebastián Arroyave, Daniel Kwon, Lily Martin, James W. Hu, Kurt Yaeger, Matthew T. Carr   +8 more
openalex   +1 more source

PHYSIOTHERAPEUTIC APPROACHES AND THE EFFECTS ON INSPIRATORY MUSCLE FORCE IN PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE IN THE PRE-OPERATIVE PREPARATION FOR ABDOMINAL SURGICAL PROCEDURES [PDF]

, 2019
Faruk Abrão Kalil Filho, Antônio Carlos Ligocki Campos, Elizabeth Milla Tâmbara, Bruna Karoline Alves TOMÉ, Cleiton José Treml, Carlos Henrique Kuretzki, Fernanda Luiza Schumacher Furlan, Jocilene Pedroso Albuquerque, Osvaldo Malafaia   +8 more
openalex   +1 more source

Surgical Illustrations of the Operative Procedures : Better Understanding of the Operative Steps through Surgical Illustrations

Japanese Journal of Neurosurgery, 2019
openaire   +2 more sources

Evaluating feature extraction reproducibility across image biomarker standardization initiative‐compliant radiomics platforms using a digital phantom

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The aim of this study was to thoroughly analyze the reproducibility of radiomics feature extraction across three Image Biomarker Standardization Initiative (IBSI)‐compliant platforms using a digital phantom for benchmarking. It uncovers high consistency among common features while also pointing out the necessity for standardization ...
Han‐Back Shin, Heesoon Sheen, Jang‐Hoon Oh, Young Eun Choi, Kihoon Sung, Hyun Ju Kim   +5 more
wiley   +1 more source

Data‐driven performance metrics for neural network learning

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri, Mauro Gaggero, Marcello Sanguineti   +2 more
wiley   +1 more source