AIMC Topic: Humans

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Screening of Alzheimer's disease by facial complexion using artificial intelligence.

Aging
Despite the increasing incidence and high morbidity associated with dementia, a simple, non-invasive, and inexpensive method of screening for dementia is yet to be discovered. This study aimed to examine whether artificial intelligence (AI) could dis...

Exploring convolutional neural networks and spatial video for on-the-ground mapping in informal settlements.

International journal of health geographics
BACKGROUND: The health burden in developing world informal settlements often coincides with a lack of spatial data that could be used to guide intervention strategies. Spatial video (SV) has proven to be a useful tool to collect environmental and soc...

Fetal birthweight prediction with measured data by a temporal machine learning method.

BMC medical informatics and decision making
BACKGROUND: Birthweight is an important indicator during the fetal development process to protect the maternal and infant safety. However, birthweight is difficult to be directly measured, and is usually roughly estimated by the empirical formulas ac...

Using natural language processing to explore heterogeneity in moral terminology in palliative care consultations.

BMC palliative care
BACKGROUND: High quality serious illness communication requires good understanding of patients' values and beliefs for their treatment at end of life. Natural Language Processing (NLP) offers a reliable and scalable method for measuring and analyzing...

Supervised mutational signatures for obesity and other tissue-specific etiological factors in cancer.

eLife
Determining the etiologic basis of the mutations that are responsible for cancer is one of the fundamental challenges in modern cancer research. Different mutational processes induce different types of DNA mutations, providing 'mutational signatures'...

Judges' evaluation reliability changes between identifiable and anonymous performance of hip-hop dance movements.

PloS one
Hip-hop competitions are performed across the world. In the recent inclusion in the 2018 Youth Olympic Games, the assessment of hip-hop performance is undertaken by a panel of judges. The purpose of this study was to determine the reliability of diff...

Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Drug combinations targeting multiple targets/pathways are believed to be able to reduce drug resistance. Computational models are essential for novel drug combination discovery. In this study, we proposed a new simplified deep learning model, for dr...

AI Accelerated Human-in-the-loop Structuring of Radiology Reports.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Rule-based Natural Language Processing (NLP) pipelines depend on robust domain knowledge. Given the long tail of important terminology in radiology reports, it is not uncommon for standard approaches to miss items critical for understanding the image...