The delegation of tasks to a non-human agent in a sociotechnical system can extend human capabilities and performance. Effective performance is, however, reliant on a successful relationship between human operators and automation. Optronics is a partially automated system which has replaced periscope on board some modern submarine platforms, operating modes permit the completion of tasks either manually or utilizing automation. A reluctance to utilize automated functionality within the optronics system has been due to operator familiarity with legacy manual procedures based upon the use of a physical periscope. This highlights the gap that is prevalent between innovation, design, training and governance of automation utilization. The current work examined current (Control group) utilization of optronics technology using an expert population in a high fidelity simulator. Findings were utilized to guide the development of novel optronics specific standard operating procedures (Intervention group). Results indicate that automaton disuse was greatly reduced, which had had a positive overall impact on overall system performance with regard to productivity and accuracy. The current work highlights the importance of incorporating governance of use and training as part of an automation design and implementation program is critical to help 'maximize what you have'.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.apergo.2021.103543 | DOI Listing |
Front Med (Lausanne)
December 2024
Software Engineering Department, LUT University, Lahti, Finland.
Introduction: Neurodegenerative diseases, including Parkinson's, Alzheimer's, and epilepsy, pose significant diagnostic and treatment challenges due to their complexity and the gradual degeneration of central nervous system structures. This study introduces a deep learning framework designed to automate neuro-diagnostics, addressing the limitations of current manual interpretation methods, which are often time-consuming and prone to variability.
Methods: We propose a specialized deep convolutional neural network (DCNN) framework aimed at detecting and classifying neurological anomalies in MRI data.
Indian J Radiol Imaging
January 2025
Tulsi Das Library (Postgraduate) Institute of Medical Education and Research, Chandigarh, India.
Honoring those who paved the way and paving the way for others is an old saying and practice that emphasizes the importance of acknowledging the contributions of others while also guiding and mentoring those who follow in your footsteps. In academic and scientific writings, citations are very important for maintaining the integrity, credibility, and progression of scientific knowledge. This article examines the significance of citations, their various types and methods, and the different styles used.
View Article and Find Full Text PDFPediatr Qual Saf
January 2025
From the Department of Pediatrics Division of Pediatric Emergency Medicine, Nemours Children's Health, Wilmington, Del.
Introduction: Pediatric seizures account for approximately 1% of emergency department (ED) presentations. Laboratory evaluation and emergent electroencephalogram (EEG) are not indicated in patients with a new-onset, unprovoked, afebrile seizure with a normal physical examination. This study aimed to reduce unnecessary ED resource utilization.
View Article and Find Full Text PDFEndosc Ultrasound
December 2024
Department of Gastroenterology, Ponderas Academic Hospital, Bucharest, Romania.
Background: EUS-guided fine-needle biopsy is the procedure of choice for the diagnosis of pancreatic ductal adenocarcinoma (PDAC). Nevertheless, the samples obtained are small and require expertise in pathology, whereas the diagnosis is difficult in view of the scarcity of malignant cells and the important desmoplastic reaction of these tumors. With the help of artificial intelligence, the deep learning architectures produce a fast, accurate, and automated approach for PDAC image segmentation based on whole-slide imaging.
View Article and Find Full Text PDFHeliyon
January 2025
Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, SE-75185, Sweden.
: Accurate tumor detection and quantification are important for optimized therapy planning and evaluation. Total tumor burden is also an appealing biomarker for clinical trials. Manual examination and annotation of oncologic PET/CT is labor-intensive and demands a high level of expertise.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!