AIMC Topic: Automation
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Cognitive vision: AI automation of the surgical eye in fluorescence angiography - correspondence.
International journal of surgery (London, England)
Aug 1, 2024
Safety improvement requires data: the case for automation and artificial intelligence during incident reporting.
British journal of anaesthesia
Jul 29, 2024
The reporting of incidents has a long association with safety in healthcare and anaesthesia, yet many incident reporting systems substantially under-report critical events. Better understanding the underlying reasons for low levels of critical incide...
AI-driven automatic compression system for colorectal anastomosis.
Journal of robotic surgery
Jul 22, 2024
Although circular staplers offer technical advancements over traditional hand-sewn techniques, their use remains challenging for unskilled users, necessitating substantial time and experience for mastery. In particular, it is challenging to apply a c...
Human-AI Teaming in Critical Care: A Comparative Analysis of Data Scientists' and Clinicians' Perspectives on AI Augmentation and Automation.
Journal of medical Internet research
Jul 22, 2024
BACKGROUND: Artificial intelligence (AI) holds immense potential for enhancing clinical and administrative health care tasks. However, slow adoption and implementation challenges highlight the need to consider how humans can effectively collaborate w...
Automatic quality assessment of knee radiographs using knowledge graphs and convolutional neural networks.
Medical physics
Jul 17, 2024
BACKGROUND: X-ray radiography is a widely used imaging technique worldwide, and its image quality directly affects diagnostic accuracy. Therefore, X-ray image quality control (QC) is essential. However, subjectively assessing image quality is ineffic...
Sensor-Enhanced Smart Gripper Development for Automated Meat Processing.
Sensors (Basel, Switzerland)
Jul 17, 2024
Grasping and object manipulation have been considered key domains of Cyber-Physical Systems (CPS) since the beginning of automation, as they are the most common interactions between systems, or a system and its environment. As the demand for automati...
Mass detection in automated three dimensional breast ultrasound using cascaded convolutional neural networks.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Jul 13, 2024
PURPOSE: Early detection of breast cancer has a significant effect on reducing its mortality rate. For this purpose, automated three-dimensional breast ultrasound (3-D ABUS) has been recently used alongside mammography. The 3-D volume produced in thi...
Automatic diagnosis of epileptic seizures using entropy-based features and multimodel deep learning approaches.
Medical engineering & physics
Jul 5, 2024
Epilepsy is one of the most common brain diseases, characterised by repeated seizures that occur on a regular basis. During a seizure, a patient's muscles flex uncontrollably, causing a loss of mobility and balance, which can be harmful or even fatal...
Automation of Wilms' tumor segmentation by artificial intelligence.
Cancer imaging : the official publication of the International Cancer Imaging Society
Jul 2, 2024
BACKGROUND: 3D reconstruction of Wilms' tumor provides several advantages but are not systematically performed because manual segmentation is extremely time-consuming. The objective of our study was to develop an artificial intelligence tool to autom...
Using machine learning to automatically measure kyphotic and lordotic angle measurements on radiographs for children with adolescent idiopathic scoliosis.
Medical engineering & physics
Jun 28, 2024
Measuring the kyphotic angle (KA) and lordotic angle (LA) on lateral radiographs is important to truly diagnose children with adolescent idiopathic scoliosis. However, it is a time-consuming process to measure the KA because the endplate of the upper...
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