AIMC Topic: Humans

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Appraisal of AI-generated dermatology literature reviews.

Journal of the European Academy of Dermatology and Venereology : JEADV
BACKGROUND: Artificial intelligence (AI) tools have the potential to revolutionize many facets of medicine and medical sciences research. Numerous AI tools have been developed and are in continuous states of iterative improvement in their functionali...

The Collaboverse: A Collaborative Data-Sharing and Speech Analysis Platform.

Journal of speech, language, and hearing research : JSLHR
PURPOSE: Collaboration in the field of speech-language pathology occurs across a variety of digital devices and can entail the usage of multiple software tools, systems, file formats, and even programming languages. Unfortunately, gaps between the la...

Predicting Survival in Patients with Advanced NSCLC Treated with Atezolizumab Using Pre- and on-Treatment Prognostic Biomarkers.

Clinical pharmacology and therapeutics
Existing survival prediction models rely only on baseline or tumor kinetics data and lack machine learning integration. We introduce a novel kinetics-machine learning (kML) model that integrates baseline markers, tumor kinetics, and four on-treatment...

Deep learning for quantifying spatial patterning and formation process of early differentiated human-induced pluripotent stem cells with micropattern images.

Journal of microscopy
Micropatterning is reliable method for quantifying pluripotency of human-induced pluripotent stem cells (hiPSCs) that differentiate to form a spatial pattern of sorted, ordered and nonoverlapped three germ layers on the micropattern. In this study, w...

Motion Artifact Detection for T1-Weighted Brain MR Images Using Convolutional Neural Networks.

International journal of neural systems
Quality assessment (QA) of magnetic resonance imaging (MRI) encompasses several factors such as noise, contrast, homogeneity, and imaging artifacts. Quality evaluation is often not standardized and relies on the expertise, and vigilance of the person...

A robot-based hybrid lower limb system for Assist-As-Needed rehabilitation of stroke patients: Technical evaluation and clinical feasibility.

Computers in biology and medicine
BACKGROUND: Although early rehabilitation is important following a stroke, severely affected patients have limited options for intensive rehabilitation as they are often bedridden. To create a system for early rehabilitation of lower extremities in t...

GateNet: A novel neural network architecture for automated flow cytometry gating.

Computers in biology and medicine
BACKGROUND AND OBJECTIVE: Flow cytometry is a widely used technique for identifying cell populations in patient-derived fluids, such as peripheral blood (PB) or cerebrospinal fluid (CSF). Despite its ubiquity in research and clinical practice, the pr...

deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks.

Computers in biology and medicine
BACKGROUND: Brain extraction in magnetic resonance imaging (MRI) data is an important segmentation step in many neuroimaging preprocessing pipelines. Image segmentation is one of the research fields in which deep learning had the biggest impact in re...

The neural network RTNet exhibits the signatures of human perceptual decision-making.

Nature human behaviour
Convolutional neural networks show promise as models of biological vision. However, their decision behaviour, including the facts that they are deterministic and use equal numbers of computations for easy and difficult stimuli, differs markedly from ...

Artificial intelligence system for outcome evaluations of human in vitro fertilization-derived embryos.

Chinese medical journal
BACKGROUND: In vitro fertilization (IVF) has emerged as a transformative solution for infertility. However, achieving favorable live-birth outcomes remains challenging. Current clinical IVF practices in IVF involve the collection of heterogeneous emb...