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artificial intelligence in medicine

ISSN 1873-2860· EN

Journal Website Certificate of Indexing
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31.4 / 100
Journament Score
Poor
Ranked #17,135 of 29,324 scored journals (34,008 indexed)
20 Articles
Scores higher than 41.5% of scored journals
050100
The Journament Score is computed from platform statistics — reader engagement, accessibility, publication timeliness, keyword breadth, community impact and content distribution — into a single 0–100 figure, recalculated as new articles and metadata are indexed. Dimensions that cannot be measured for this journal are excluded rather than estimated. It is independent of the paid AI Quality Analysis, which never affects this score or the ranking. Full methodology →

About This Journal

Short Name artif intell med
Abbreviated Name artif intell med
ISSN 1873-2860
URL https://www.sciencedirect.com/journal/artificial-intelligence-in-medicine

Quality Profile

7 of 12 dimensions measured
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

5 of the 12 dimensions could not be measured for this journal. They are left as gaps in the shape rather than plotted as zero.

Show the numbers
Dimension This journal Corpus average
Engagement 30.8 30.4
Accessibility 20.0 19.1
Timeliness 0.0 9.2
Diversity 5.6 25.8
Innovation 70.0 27.4
Community Impact 8.6 7.8
Content Distribution 80.6 88.6
Content Quality — 55.5
Ethics & Transparency — 40.2
Editorial Standards — 33.4
Publication Regularity — 53.2
Geographic Reach — 30.8

Publications Per Year

Articles (20)

2019
Machine learning and big data: Implications for disease modeling and therapeutic discovery in psychiatry.
Tai, Andy M Y;Albuquerque, Alcides;Carmona, Nicole E;Subramanieapillai, Mehala;Cha, Danielle S;Sheko, Margarita;Lee, Yena;Mansur, Rodrigo;McIntyre, Roger S;
Vol. 99 , pp. 101704
554 views DOI Abstract
2019
The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes.
Spänig, Sebastian;Emberger-Klein, Agnes;Sowa, Jan-Peter;Canbay, Ali;Menrad, Klaus;Heider, Dominik;
Vol. 100 , pp. 101706
438 views DOI Abstract
2019
Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier.
Lin, Jianying;Chen, Hui;Li, Shan;Liu, Yushuang;Li, Xuan;Yu, Bin;
Vol. 98 , pp. 35-47
414 views DOI Abstract
2020
Electroencephalogram based communication system for locked in state person using mentally spelled tasks with optimized network model.
Xiaoxiao, Xu;Bin, Luo;Ramkumar, S;Saravanan, S;Balaji, M Sundar Prakash;Dhanasekaran, S;Thimmiaraja, J;
Vol. 102 , pp. 101766
413 views DOI Abstract
2019
3D-CNN based discrimination of schizophrenia using resting-state fMRI.
Qureshi, Muhammad Naveed Iqbal;Oh, Jooyoung;Lee, Boreom;
Vol. 98 , pp. 10-17
402 views DOI Abstract
2019
Personalized oncology with artificial intelligence: The case of temozolomide.
Houy, Nicolas;Le Grand, François;
Vol. 99 , pp. 101693
397 views DOI Abstract
2019
Depression recognition using machine learning methods with different feature generation strategies.
Li, Xiaowei;Zhang, Xin;Zhu, Jing;Mao, Wandeng;Sun, Shuting;Wang, Zihan;Xia, Chen;Hu, Bin;
Vol. 99 , pp. 101696
395 views DOI Abstract
2012
Analysis of nasopharyngeal carcinoma risk factors with Bayesian networks.
Aussem, Alex;de Morais, Sérgio Rodrigues;Corbex, Marilys;
Vol. 54 , No. 1 , pp. 53-62
385 views DOI Abstract
2019
Using game theory and decision decomposition to effectively discern and characterise bi-locus diseases.
Versbraegen, Nassim;Fouché, Aziz;Nachtegael, Charlotte;Papadimitriou, Sofia;Gazzo, Andrea;Smits, Guillaume;Lenaerts, Tom;
Vol. 99 , pp. 101690
382 views DOI Abstract
2020
Comprenhensive analysis of rule formalisms to represent clinical guidelines: Selection criteria and case study on antibiotic clinical guidelines.
Iglesias, Natalia;Juarez, Jose M;Campos, Manuel;
, pp. 101741
375 views DOI Abstract
2020
Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI).
Ferrari, Elisa;Retico, Alessandra;Bacciu, Davide;
Vol. 103 , pp. 101804
261 views DOI Abstract
2020
SemBioNLQA: A semantic biomedical question answering system for retrieving exact and ideal answers to natural language questions.
Sarrouti, Mourad;Ouatik El Alaoui, Said;
Vol. 102 , pp. 101767
297 views DOI Abstract
2020
Electroencephalogram based communication system for locked in state person using mentally spelled tasks with optimized network model.
Xiaoxiao, Xu;Bin, Luo;Ramkumar, S;Saravanan, S;Balaji, M Sundar Prakash;Dhanasekaran, S;Thimmiaraja, J;
Vol. 102 , pp. 101766
413 views DOI Abstract
2020
Comprenhensive analysis of rule formalisms to represent clinical guidelines: Selection criteria and case study on antibiotic clinical guidelines.
Iglesias, Natalia;Juarez, Jose M;Campos, Manuel;
, pp. 101741
375 views DOI Abstract
2019
Antigenic: An improved prediction model of protective antigens.
Rahman, M Saifur;Rahman, Md Khaledur;Saha, Sanjay;Kaykobad, M;Rahman, M Sohel;
Vol. 94 , pp. 28-41
369 views DOI Abstract
2019
Depression recognition using machine learning methods with different feature generation strategies.
Li, Xiaowei;Zhang, Xin;Zhu, Jing;Mao, Wandeng;Sun, Shuting;Wang, Zihan;Xia, Chen;Hu, Bin;
Vol. 99 , pp. 101696
395 views DOI Abstract
2019
Personalized oncology with artificial intelligence: The case of temozolomide.
Houy, Nicolas;Le Grand, François;
Vol. 99 , pp. 101693
397 views DOI Abstract
2019
Machine learning and big data: Implications for disease modeling and therapeutic discovery in psychiatry.
Tai, Andy M Y;Albuquerque, Alcides;Carmona, Nicole E;Subramanieapillai, Mehala;Cha, Danielle S;Sheko, Margarita;Lee, Yena;Mansur, Rodrigo;McIntyre, Roger S;
Vol. 99 , pp. 101704
554 views DOI Abstract
2019
Using game theory and decision decomposition to effectively discern and characterise bi-locus diseases.
Versbraegen, Nassim;Fouché, Aziz;Nachtegael, Charlotte;Papadimitriou, Sofia;Gazzo, Andrea;Smits, Guillaume;Lenaerts, Tom;
Vol. 99 , pp. 101690
382 views DOI Abstract
2019
The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes.
Spänig, Sebastian;Emberger-Klein, Agnes;Sowa, Jan-Peter;Canbay, Ali;Menrad, Klaus;Heider, Dominik;
Vol. 100 , pp. 101706
438 views DOI Abstract
Journament Score
31.4/100 · Poor
Ranked #17,135 of 29,324 scored
(34,008 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

31.4/100

Tier: Poor

The Journament Overall Quality Score is a comprehensive metric that evaluates academic journals across multiple dimensions including engagement, accessibility, diversity, innovation, and community impact.

This score helps researchers, institutions, and publishers understand the holistic quality and impact of a journal beyond traditional metrics.

Engagement Score

30.8/100

Measures user interactions, views, citations, and community involvement with this journal's content.

Higher engagement scores indicate that the journal's content is actively being read, cited, and discussed within the academic community.

Accessibility Score

20.0/100

Evaluates how easily researchers can access journal content, including open access availability, ISSN registration, and indexing.

This metric considers factors such as paywalls, open access policies, and availability across different academic databases and search engines.

Diversity Score

5.6/100

Assesses geographic and institutional diversity of authors, editorial board composition, and topic breadth.

A diverse journal publishes work from various geographic regions, institutions, and covers a broad range of topics within its field.

Innovation Score

70.0/100

Evaluates research novelty, interdisciplinary work, and emerging topics based on AI analysis of article abstracts.

This score reflects how much the journal publishes cutting-edge research, explores new methodologies, and bridges different academic disciplines.

Community Impact Score

8.6/100

Measures scholarly contribution and real-world applications of published research.

This metric evaluates how the journal's research translates into practical applications, policy changes, and benefits to society beyond academia.

Timeliness Score

0.0/100

Evaluates recent publication activity, publication frequency, and currency of research topics.

Higher scores indicate consistent publishing schedules and timely coverage of current research trends.

Content Distribution

80.6/100

Measures how evenly reader attention spreads across the journal's articles, using the Gini coefficient of article clicks.

Higher scores mean readership is distributed across many articles rather than concentrated on one or two.

Ethics & Transparency Score

Not yet measured

Research Integrity (10% weight)

Assesses COPE standards compliance, ethical considerations in research, transparency in methodologies, and reproducibility practices.

This metric ensures the journal maintains high ethical standards and promotes transparent, trustworthy research.

Content Quality Score

Not yet measured

Academic Rigor (20% weight) + Methodology Quality (12%)

Evaluates research methodology soundness, statistical rigor, theoretical framework strength, appropriateness of research methods, data quality, and clarity & readability.

This comprehensive metric ensures published research meets the highest academic standards.

Editorial Diversity Score

Not yet measured

Author Diversity + Interdisciplinary Value (8%)

Measures geographic diversity of authors, institutional variety, editorial board composition, and cross-disciplinary connections.

Diverse editorial teams bring varied perspectives and reduce bias in academic publishing.

Publication Regularity Score

Not yet measured

Assesses consistency of publication schedule, frequency stability, and predictable output patterns.

Regular publication schedules indicate reliable journal operations and consistent workflow management.

Geographic Reach Score

Not yet measured

Evaluates international author representation, global readership distribution, and cross-border research collaboration.

Wide geographic reach indicates global impact and international recognition of the journal's research.