Artificial Intelligence in Medicine publishes original articles from a wide variety of interdisciplinary perspectives concerning the theory and practice of artificial intelligence (AI) in medicine, medically-oriented human biology, and health care.Artificial intelligence in medicine may be characterized as the scientific discipline pertaining to research studies, projects, and applications that aim at supporting decision-based medical tasks through knowledge- and/or data-intensive computer-based solutions that ultimately support and improve the performance of a human care provider.Artificial Intelligence in Medicine considers for publication manuscripts that have both:• Potential high impact in some medical or healthcare domain;• Strong novelty of method and theory related to AI and computer science techniques.Artificial Intelligence in Medicine papers must refer to real-world medical domains, considered and discussed at the proper depth, from both the technical and the medical points of view. The inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly recommended.
人工智能在医学上发表原创文章，从各种各样的跨学科的观点，关于人工智能的理论和实践医学中的人工智能可以被描述为与研究、项目、和/或数据密集型的基于计算机的解决方案来支持基于决策的医疗任务，这些解决方案最终支持并改进人类护理提供者的表现。《医学中的人工智能》考虑同时具有以下两个方面的出版手稿：·在某些医学或医疗保健领域具有潜在的高影响力;·与人工智能和计算机科学技术相关的方法和理论具有很强的新奇。医学中的人工智能论文必须参考现实世界中的医学领域，从技术和医学的角度进行适当深度的考虑和讨论。强烈建议纳入对所提交工作的有用性和潜在影响的临床评估。
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2018.08.008
Automated detection of schizophrenia using nonlinear signal processing methods
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.07.006
Classifying medical relations in clinical text via convolutional neural networks
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2018.05.001
Cosine similarity measures of bipolar neutrosophic set for diagnosis of bipolar disorder diseases
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2019.101735
Computational methods for Gene Regulatory Networks reconstruction and analysis: A review
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2018.10.006
Deep Learning based Computer-Aided Diagnosis Systems for Diabetic Retinopathy: A Survey
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.07.009
3D-CNN based discrimination of schizophrenia using resting-state fMRI
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.06.003
A data-driven approach to referable diabetic retinopathy detection
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.03.009
Neural network modelling of soft tissue deformation for surgical simulation
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2018.11.001
Real-time multi-agent systems for telerehabilitation scenarios
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2019.02.001
Machine learning and big data: Implications for disease modeling and therapeutic discovery in psychiatry
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.101704
Antigenic: An improved prediction model of protective antigens
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2018.12.010
Retinal blood vessel extraction employing effective image features and combination of supervised and unsupervised machine learning methods
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2019.03.001
Automated classification of histopathology images using transfer learning
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2019.101743
Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.05.002
Towards a modular decision support system for radiomics: A case study on rectal cancer
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2018.09.003
Complexity perception classification method for tongue constitution recognition
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.03.008
Referable diabetic retinopathy identification from eye fundus images with weighted path for convolutional neural network
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.07.002
A hybrid machine learning approach to cerebral stroke prediction based on imbalanced medical dataset
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2019.101723
A deep survival analysis method based on ranking
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.06.001
Towards automatic encoding of medical procedures using convolutional neural networks and autoencoders
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2018.10.001
Evaluation of the Tinetti score and fall risk assessment via accelerometry-based movement analysis
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2018.08.005
Segmentation of breast MR images using a generalised 2D mathematical model with inflation and deflation forces of active contours
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2018.10.007
An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance images
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2018.11.008
OntoSIDES: Ontology-based student progress monitoring on the national evaluation system of French Medical Schools
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.03.006
Motor imagery EEG recognition with KNN-based smooth auto-encoder
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2019.101747
The Virtual Doctor: An Interactive Artificial Intelligence based on Deep Learning for Non-Invasive Prediction of Diabetes
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2019.101706
A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2018.10.002
Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.07.008
Recent advances in extracting and processing rich semantics from medical texts
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2018.07.004
Deep multiphysics: Coupling discrete multiphysics with machine learning to attain self-learning in-silico models replicating human physiology
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.06.005
Reliability-based robust multi-atlas label fusion for brain MRI segmentation
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.03.004
Ten years of knowledge representation for health care (2009-2018): Topics, trends, and challenges
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2019.101713
Optimal testing policies for diagnosing patients with intermediary probability of disease
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2018.11.005
Feature-weighted survival learning machine for COPD failure prediction
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.01.003
Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization - Random forest approach
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2019.101709
Personalized oncology with artificial intelligence: The case of temozolomide
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.07.001
The social phenotype: Extracting a patient-centered perspective of diabetes from health-related blogs
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2019.101727
Strategic room type allocation for nursing wards through Markov chain modeling
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.101705
Supporting the distributed execution of clinical guidelines by multiple agents
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.05.001
A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2019.101750
Sparse support vector machines with L0 approximation for ultra-high dimensional omics data
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.04.004
Profiling continuous sleep representations for better understanding of the dynamic character of normal sleep
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2018.12.009
Compositional model based on factorial evolution for realizing multi-task learning in bacterial virulent protein prediction
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2019.101757
Methods for algorithmic diagnosis of metabolic syndrome
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2019.101708
Automated plaque classification using computed tomography angiography and Gabor transformations
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2019.101724
Predicting lab values for gastrointestinal bleeding patients in the intensive care unit: A comparative study on the impact of comorbidities and medications
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2019.01.004
Fast density-peaks clustering for registration-free pediatric white matter tract analysis
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.03.002
Retinal image assessment using bi-level adaptive morphological component analysis
来源期刊：Artificial intelligence in medicineDOI：10.1016/J.ARTMED.2019.07.010
On predicting epithelial mesenchymal transition by integrating RNA-binding proteins and correlation data via L1/2-regularization method
来源期刊：Artificial intelligence in medicineDOI：10.1016/j.artmed.2018.09.005
