AIMC Topic: Humans

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The use of artificial intelligence to improve the scientific writing of non-native english speakers.

Revista da Associacao Medica Brasileira (1992)
OBJECTIVE: Scientific writing in English is a daunting task for non-native English speakers. The challenges of writing in a foreign language are evident in the scientific literature where texts by non-native English-speaking scientists tend to be les...

Effect of real-time oxygen consumption versus fixed flow-based low flow anesthesia on oxygenation and perfusion: a randomized, single-blind study.

Medical gas research
Although low-flow anesthesia is widely used due to its various advantages, there are concerns about potential and relative hypoxia. Furthermore, oxygen is also a drug with benefits and adverse effects. We aimed to evaluate and compare the effect of r...

A deep sift convolutional neural networks for total brain volume estimation from 3D ultrasound images.

Computer methods and programs in biomedicine
Preterm infants are a highly vulnerable population. The total brain volume (TBV) of these infants can be accurately estimated by brain ultrasound (US) imaging which enables a longitudinal study of early brain growth during Neonatal Intensive Care (NI...

Feeding Next-Generation Nanomedicines to Europe: Regulatory and Quality Challenges.

Advanced healthcare materials
New and innovative nanomedicines have been developed and marketed over the past half-century, revolutionizing the prognosis of many human diseases. Although a univocal regulatory definition is not yet available worldwide, the term "nanomedicines" gen...

Identifying barriers to resident robotic console time in a general surgery residency through a targeted needs assessment.

Journal of robotic surgery
Robotic-assisted general surgery is experiencing exponential growth. Despite our institution's high volume, residents often graduate with inadequate console experience. Our aim was to identify the educational needs of residents and perceived barriers...

A biologically inspired architecture with switching units can learn to generalize across backgrounds.

Neural networks : the official journal of the International Neural Network Society
Humans and other animals navigate different environments effortlessly, their brains rapidly and accurately generalizing across contexts. Despite recent progress in deep learning, this flexibility remains a challenge for many artificial systems. Here,...

Revealing the representative facial traits of different sagittal skeletal types: decipher what artificial intelligence can see by Grad-CAM.

Journal of dentistry
OBJECTIVES: Aesthetic improvement is a significant concern in dental therapy. While orthodontic treatment primarily targets hard tissue, the impact on soft tissue and the extent of these changes remains empirical. This study aims to unveil the intric...

Dose Optimization Using a Deep Learning Tool in Various CT Protocols for Urolithiasis: A Physical Human Phantom Study.

Medicina (Kaunas, Lithuania)
We attempted to determine the optimal radiation dose to maintain image quality using a deep learning application in a physical human phantom. Three 5 × 5 × 5 mm uric acid stones were placed in a physical human phantom in various locations. Three tu...

An Overview of Robotic Colorectal Surgery Adoption and Training in Brazil.

Medicina (Kaunas, Lithuania)
Robotic surgical systems have rapidly become integrated into colorectal surgery practice in recent years, particularly for rectal resections, where the advantages of robotic platforms over conventional laparoscopy are more pronounced. However, as wi...