AIMC Topic: Humans

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Robot-assisted technique vs conventional freehand technique in spine surgery: A meta-analysis.

International journal of clinical practice
BACKGROUND: The impact of robot-assisted techniques versus conventional freehand techniques in terms of the accuracy of pedicle screw placement remains conflicting. This meta-analysis was performed to evaluate this relationship.

Angle-closure assessment in anterior segment OCT images via deep learning.

Medical image analysis
Precise characterization and analysis of anterior chamber angle (ACA) are of great importance in facilitating clinical examination and diagnosis of angle-closure disease. Currently, the gold standard for diagnostic angle assessment is observation of ...

Automated ultrasound assessment of amniotic fluid index using deep learning.

Medical image analysis
The estimation of antenatal amniotic fluid (AF) volume (AFV) is important as it offers crucial information about fetal development, fetal well-being, and perinatal prognosis. However, AFV measurement is cumbersome and patient specific. Moreover, it i...

High quality and fast compressed sensing MRI reconstruction via edge-enhanced dual discriminator generative adversarial network.

Magnetic resonance imaging
Generative adversarial networks (GAN) are widely used for fast compressed sensing magnetic resonance imaging (CSMRI) reconstruction. However, most existing methods are difficult to make an effective trade-off between abstract global high-level featur...

Robustness of convolutional neural networks in recognition of pigmented skin lesions.

European journal of cancer (Oxford, England : 1990)
BACKGROUND: A basic requirement for artificial intelligence (AI)-based image analysis systems, which are to be integrated into clinical practice, is a high robustness. Minor changes in how those images are acquired, for example, during routine skin c...

Teasing out Artificial Intelligence in Medicine: An Ethical Critique of Artificial Intelligence and Machine Learning in Medicine.

Journal of bioethical inquiry
The rapid adoption and implementation of artificial intelligence in medicine creates an ontologically distinct situation from prior care models. There are both potential advantages and disadvantages with such technology in advancing the interests of ...

Towards a new model and classification of mood disorders based on risk resilience, neuro-affective toxicity, staging, and phenome features using the nomothetic network psychiatry approach.

Metabolic brain disease
Current diagnoses of mood disorders are not cross validated. The aim of the current paper is to explain how machine learning techniques can be used to a) construct a model which ensembles risk/resilience (R/R), adverse outcome pathways (AOPs), stagin...

Comparison of different machine learning approaches to predict dental age using Demirjian's staging approach.

International journal of legal medicine
CONTEXT: Dental age, one of the indicators of biological age, is inferred by radiological methods. Two of the most commonly used methods are using Demirjian's radiographic stages of permanent teeth excluding the third molar (Demirjian's and Willems' ...

BertMCN: Mapping colloquial phrases to standard medical concepts using BERT and highway network.

Artificial intelligence in medicine
In the last few years, people started to share lots of information related to health in the form of tweets, reviews and blog posts. All these user generated clinical texts can be mined to generate useful insights. However, automatic analysis of clini...