To compare the quality and interobserver agreement in the evaluation of lumbar spinal stenosis (LSS) on computed tomography (CT) images between deep-learning reconstruction (DLR) and hybrid iterative reconstruction (hybrid IR). This retrospective stu...
BACKGROUND: There is a lack of best evidence of intravenous compounding robots for hospital decision-makers. This study aimed to conduct a systematic review of intravenous compounding robots.
BACKGROUND: Upper limb robotic rehabilitation can be beneficial to the patients when applied appropriately. HEXO-UR30A is a novel exoskeletal type upper limb rehabilitation robot that provides continuous passive motion to the shoulder joint.
The purpose of this study was to compare the effect of robotic thyroid lobectomy via Bilateral Axlio-Breast Approach (BABA) and endoscopic thyroid lobectomy on the voice function. A total of 125 patients with thyroid cancer from March 2021 to July 20...
RATIONALE: The anterior transpedicular screw (ATPS) fixation in the cervical spine provides the advantages of both anterior and posterior cervical surgery; however, it poses a high risk of screw insertion. In addition, a 3D printed implant can match ...
The evolution of medical knowledge and technological growth have contributed to the development of different techniques and devices for airway management. These appear to play a role in optimizing the number of attempts and overall success, ultimatel...
BACKGROUND: The purpose of this study was to conduct a systematic review for understanding the availability and limitations of artificial intelligence (AI) approaches that could automatically identify and quantify computed tomography (CT) findings in...
Artificial intelligence (AI) has been used for diagnosis and outcome prediction in clinical practice. Furthermore, AI in digestive endoscopy has attracted much attention and shown promising and stimulating results. This study aimed to determine the d...
BACKGROUND: Colonoscopy can detect colorectal adenomas and reduce the incidence of colorectal cancer, but there are still many missing diagnoses. Artificial intelligence-assisted colonoscopy (AIAC) can effectively reduce the rate of missed diagnosis ...
In order to achieve better performance, artificial intelligence is used in breast cancer diagnosis. In this study, we evaluated the efficacy of different fine-tuning strategies of deep transfer learning (DTL) based on the DenseNet201 model to differe...