AIMC Topic: Humans

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Deep Data Analysis-Based Agricultural Products Management for Smart Public Healthcare.

Frontiers in public health
Agricultural is an indispensably public healthcare industry for human beings at any time and smart management of it is of great significance. Since substantial technical advance relies on long-term efforts and continuous progress, reasonably scheduli...

Effectiveness of Artificial Intelligence for Personalized Medicine in Neoplasms: A Systematic Review.

BioMed research international
PURPOSE: Artificial intelligence (AI) techniques are used in precision medicine to explore novel genotypes and phenotypes data. The main aims of precision medicine include early diagnosis, screening, and personalized treatment regime for a patient ba...

Evaluation Analysis of the Nephrotoxicity of Preparations with CONSORT Harms Statement Based on Deep Learning.

Journal of healthcare engineering
In this paper, the safety of polyglycoside (TW) preparation was evaluated by combining literature research and evidence-based evaluation research, so as to provide evidence-based safety information of polyglycoside preparation (nephroptosis) for go...

Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis.

PloS one
OBJECTIVE: We aimed to identify existing hypertension risk prediction models developed using traditional regression-based or machine learning approaches and compare their predictive performance.

Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcome.

PloS one
Artificial intelligence and machine learning (AI/ML) is becoming increasingly more accessible to biomedical researchers with significant potential to transform biomedicine through optimization of highly-accurate predictive models and enabling better ...

Assessment of deep convolutional neural network models for mandibular fracture detection in panoramic radiographs.

International journal of oral and maxillofacial surgery
The aim of this study was to develop automated models for the identification and detection of mandibular fractures in panoramic radiographs using convolutional neural network (CNN) algorithms. A total of 1710 panoramic radiograph images from the year...

FOD-Net: A deep learning method for fiber orientation distribution angular super resolution.

Medical image analysis
Mapping the human connectome using fiber-tracking permits the study of brain connectivity and yields new insights into neuroscience. However, reliable connectome reconstruction using diffusion magnetic resonance imaging (dMRI) data acquired by widely...

Artificial intelligence to evaluate postoperative pain based on facial expression recognition.

European journal of pain (London, England)
BACKGROUND: Pain intensity evaluation by self-report is difficult and biased in non-communicating people, which may contribute to inappropriate pain management. The use of artificial intelligence (AI) to evaluate pain intensity based on automated fac...

Deep learning-based framework for segmentation of multiclass rib fractures in CT utilizing a multi-angle projection network.

International journal of computer assisted radiology and surgery
PURPOSE: Clinical rib fracture diagnosis via computed tomography (CT) screening has attracted much attention in recent years. However, automated and accurate segmentation solutions remain a challenging task due to the large sets of 3D CT data to deal...