Results 121 to 130 of about 1,603,308 (337)
AimThe purpose of this study is to evaluate the influence of the merger process of two tertiary hospitals located in the northwest of Romania on the professional satisfaction among medical and non-medical staff and to develop a standardized satisfaction ...
Codrin Dan Nicolae Ilea+6 more
doaj +1 more source
A deep‐learning system (DLS) is developed for the automatic detection of spinal metastases and the evaluation of associated features using computed tomography imaging. A multireader, multicase analysis and a prospective multicenter cohort study are conducted to evaluate the diagnostic performance.
Zhiyu Wang+16 more
wiley +1 more source
Medical staffing in paediatric departments in district general hospitals [PDF]
Richard Nelson
openalex +1 more source
Joep van de Geer+6 more
semanticscholar +1 more source
Autofluorescence imaging with virtual histological staining streamlines postoperative histopathology. Using a deep ultraviolet light‐emitting diode (LED)‐based imaging system and a weakly supervised deep learning model, virtual hematoxylin and eosin (H&E)‐stained images are generated from the autofluorescence of prostate tissue. Pathologist evaluations
Mingxuan Si+9 more
wiley +1 more source
Design, Modeling, and Control of a Soft Robotic Diaphragm‐Assist Device in a Respiratory Simulator
A soft robotic diaphragm‐assist device using fabric‐based pneumatic actuators with a 2‐step control system to optimize synchronization and support is introduced. This system can detect the initiation of breathing to trigger assistance and regulate pressures to provide the correct level of inhalation augmentation. Validation and testing are completed on
Diego Quevedo‐Moreno+5 more
wiley +1 more source
Researchers develop clinlabomics assisted for cancer identification, an artificial intelligence‐powered system using routine clinical lab data to detect and identify 10 cancer types. Tested on 19 199 individuals, it achieves 90.39% sensitivity and 82.41% specificity in cancer detection, with 72.57% accuracy in identifying specific cancer types ...
Bowen Zhang+9 more
wiley +1 more source
Response to the Fallon Inquiry: from the Ashworth Hospital Medical Staff [PDF]
P. M. Abbott, Joseph Collins
openalex +1 more source