International Journal of Medical Informatics

Papers
(The H4-Index of International Journal of Medical Informatics is 39. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-10-01 to 2024-10-01.)
ArticleCitations
Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms288
The benefits and threats of blockchain technology in healthcare: A scoping review225
REVISITING HEALTH INFORMATION TECHNOLOGY ETHICAL, LEGAL, and SOCIAL ISSUES and EVALUATION: TELEHEALTH/TELEMEDICINE and COVID-19176
The need to separate the wheat from the chaff in medical informatics160
The role of blockchain technology in telehealth and telemedicine159
Comparison of machine learning and logistic regression models in predicting acute kidney injury: A systematic review and meta-analysis110
Ethical, legal, and social considerations of AI-based medical decision-support tools: A scoping review93
Successfully implementing a national electronic health record: a rapid umbrella review86
Lung cancer survival period prediction and understanding: Deep learning approaches76
Healthcare professionals’ acts of correcting health misinformation on social media75
Mobile app-based chatbot to deliver cognitive behavioral therapy and psychoeducation for adults with attention deficit: A development and feasibility/usability study72
“A decade’s worth of work in a matter of days”: The journey to telehealth for the whole population in Australia63
Electronic consenting for conducting research remotely: A review of current practice and key recommendations for using e-consenting60
How technology impacts communication between cancer patients and their health care providers: A systematic literature review60
Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach59
Technological progress in electronic health record system optimization: Systematic review of systematic literature reviews58
Digital health competencies for primary healthcare professionals: A scoping review58
Potential applications and performance of machine learning techniques and algorithms in clinical practice: A systematic review57
Information seeking behavior and COVID-19 pandemic: A snapshot of young, middle aged and senior individuals in Greece57
From telehealth to virtual primary care in Australia? A Rapid scoping review55
Use and performance of machine learning models for type 2 diabetes prediction in community settings: A systematic review and meta-analysis55
Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques54
Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with tongue cancer53
Use of standardized terminologies in clinical practice: A scoping review51
The effectiveness of smart home technologies to support the health outcomes of community-dwelling older adults living with dementia: A scoping review49
Prediction of early childhood obesity with machine learning and electronic health record data49
Impact of COVID-19 on the psychological health of university students in Spain and their attitudes toward Mobile mental health solutions49
Reporting adherence, validity and physical activity measures of wearable activity trackers in medical research: A systematic review49
Telemedicine use in Sub-Saharan Africa: Barriers and policy recommendations for Covid-19 and beyond48
Performance and exploration of ChatGPT in medical examination, records and education in Chinese: Pave the way for medical AI46
The 2021 landscape of FDA-approved artificial intelligence/machine learning-enabled medical devices: An analysis of the characteristics and intended use46
A novel ensemble of random forest for assisting diagnosis of Parkinson's disease on small handwritten dynamics dataset46
Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review46
Sociodemographic determinants of digital health literacy: A systematic review and meta-analysis42
Personalized predictive models for symptomatic COVID-19 patients using basic preconditions: Hospitalizations, mortality, and the need for an ICU or ventilator41
Machine learning predictive models for acute pancreatitis: A systematic review39
Barriers and facilitators influencing medication-related CDSS acceptance according to clinicians: A systematic review39
Wearable activity trackers for promoting physical activity: A systematic meta-analytic review39
Machine learning-based models to support decision-making in emergency department triage for patients with suspected cardiovascular disease39
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