AIMC Topic: Humans

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Deep learning-based semantic vessel graph extraction for intracranial aneurysm rupture risk management.

International journal of computer assisted radiology and surgery
PURPOSE: Intracranial aneurysms are vascular deformations in the brain which are complicated to treat. In clinical routines, the risk assessment of intracranial aneurysm rupture is simplified and might be unreliable, especially for patients with mult...

Robotic-Assisted Surgery-a Highly Effective Modality for Vesicovaginal Fistula Repairs.

Current urology reports
PURPOSE OF REVIEW: To summarize recent experience with robotic vesicovaginal fistula repair and describe the contemporary technique.

Transfer learning-based ensemble convolutional neural network for accelerated diagnosis of foot fractures.

Physical and engineering sciences in medicine
The complex shape of the foot, consisting of 26 bones, variable ligaments, tendons, and muscles leads to misdiagnosis of foot fractures. Despite the introduction of artificial intelligence (AI) to diagnose fractures, the accuracy of foot fracture dia...

Reinforcement learning in medical image analysis: Concepts, applications, challenges, and future directions.

Journal of applied clinical medical physics
MOTIVATION: Medical image analysis involves a series of tasks used to assist physicians in qualitative and quantitative analyses of lesions or anatomical structures which can significantly improve the accuracy and reliability of medical diagnoses and...

Deep Learning on Multimodal Chemical and Whole Slide Imaging Data for Predicting Prostate Cancer Directly from Tissue Images.

Journal of the American Society for Mass Spectrometry
Prostate cancer is one of the most common cancers globally and is the second most common cancer in the male population in the US. Here we develop a study based on correlating the hematoxylin and eosin (H&E)-stained biopsy data with MALDI mass-spectro...

A Deep Learning Approach to Visualize Aortic Aneurysm Morphology Without the Use of Intravenous Contrast Agents.

Annals of surgery
BACKGROUND: Intravenous contrast agents are routinely used in CT imaging to enable the visualization of intravascular pathology, such as with abdominal aortic aneurysms. However, the injection is contraindicated in patients with iodine allergy and is...

Comparison of the Physical Care Burden on Formal Caregivers between Manual Human Care Using a Paper Diaper and Robot-Aided Care in Excretion Care.

International journal of environmental research and public health
Although the older population has been rapidly growing, the availability of formal caregivers remains limited. Assistance provided by care robots has helped lower this burden; however, whether using a care robot while providing excretion care (EC) is...

Clinician and computer: a study on doctors' perceptions of artificial intelligence in skeletal radiography.

BMC medical education
BACKGROUND: Traumatic musculoskeletal injuries are a common presentation to emergency care, the first-line investigation often being plain radiography. The interpretation of this imaging frequently falls to less experienced clinicians despite well-es...

Optical force estimation for interactions between tool and soft tissues.

Scientific reports
Robotic assistance in minimally invasive surgery offers numerous advantages for both patient and surgeon. However, the lack of force feedback in robotic surgery is a major limitation, and accurately estimating tool-tissue interaction forces remains a...

Coronavirus covid-19 detection by means of explainable deep learning.

Scientific reports
The coronavirus is caused by the infection of the SARS-CoV-2 virus: it represents a complex and new condition, considering that until the end of December 2019 this virus was totally unknown to the international scientific community. The clinical mana...