Artificial Intelligence in Medicine
ISSN:0933-3657

Artificial Intelligence in Medicine

ARTIF INTELL MED
学科领域:医学
是否预警:不在预警名单内
是否OA:
录用周期:约12.0个月
新锐分区:医学2区
年发文量:207
影响因子:6.2
JCR分区:Q1

基本信息

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。
0933-3657SCIE/Scopus收录
6.2
7
2026年3月发布
点击查看历史分区趋势    >
大类学科小类学科Top期刊综述期刊
医学2区
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机:人工智能
2区
ENGINEERING, BIOMEDICAL 工程:生物医学
2区
MEDICAL INFORMATICS 医学:信息
2区
N/A
WOS期刊SCI分区  2024-2025最新升级版
按JIF指标学科分区收集子录JIF分区JIF排名百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
SCIE
Q1
42/204
学科:ENGINEERING, BIOMEDICAL
SCIE
Q1
23/124
学科:MEDICAL INFORMATICS
SCIE
Q1
7/48
按JCR指标学科分区收集子录JCR分区JCR排名百分位
学科:COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
SCIE
Q1
41/204
学科:ENGINEERING, BIOMEDICAL
SCIE
Q1
23/124
学科:MEDICAL INFORMATICS
SCIE
Q1
11/48
74
207
16%0约12.0个月-工程技术-工程:生物医学
4.8%
时间预警情况
2026年03月发布的新锐学术版不在预警名单中
2025年03月发布的2025版不在预警名单中
2024年02月发布的2024版不在预警名单中
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2020年12月发布的2020版不在预警名单中
91.79%28.08%0.62%
CiteScore:12.20
SJR:1.396
SNIP:1.930
学科类别分区排名百分位
大类:Medicine
小类:Medicine (miscellaneous)
Q1
24 / 433
大类:Medicine
小类:Health Informatics
Q1
10 / 153
大类:Medicine
小类:Artificial Intelligence
Q1
55 / 450

期刊高被引文献

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

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