OOIR: Observatory of International Research

Papers

(The H4-Index of International Journal of Medical Informatics is 40. 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 2020-03-01 to 2024-03-01.)

Article	Citations
A pretrain-finetune approach for improving model generalizability in outcome prediction of acute respiratory distress syndrome patients	171127346
Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms	255
The benefits and threats of blockchain technology in healthcare: A scoping review	196
REVISITING HEALTH INFORMATION TECHNOLOGY ETHICAL, LEGAL, and SOCIAL ISSUES and EVALUATION: TELEHEALTH/TELEMEDICINE and COVID-19	152
Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF	146
Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective	141
The need to separate the wheat from the chaff in medical informatics	123
The role of blockchain technology in telehealth and telemedicine	122
What quality factors matter in enhancing the perceived benefits of online health information sites? Application of the updated DeLone and McLean Information Systems Success Model	89
Comparison of machine learning and logistic regression models in predicting acute kidney injury: A systematic review and meta-analysis	79
Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer	75
The development an artificial intelligence algorithm for early sepsis diagnosis in the intensive care unit	69
Telemedicine in Middle Eastern countries: Progress, barriers, and policy recommendations	65
Successfully implementing a national electronic health record: a rapid umbrella review	64
Healthcare professionals’ acts of correcting health misinformation on social media	61
Mobile app-based chatbot to deliver cognitive behavioral therapy and psychoeducation for adults with attention deficit: A development and feasibility/usability study	61
Ethical, legal, and social considerations of AI-based medical decision-support tools: A scoping review	59
Lung cancer survival period prediction and understanding: Deep learning approaches	56
Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm	55
Efficacy of mobile app-based interactive cognitive behavioral therapy using a chatbot for panic disorder	55
“A decade’s worth of work in a matter of days”: The journey to telehealth for the whole population in Australia	55
Classification of glomerular pathological findings using deep learning and nephrologist–AI collective intelligence approach	54
A lesson in implementation: A pre-post study of providers’ experience with artificial intelligence-based clinical decision support	53
Use and performance of machine learning models for type 2 diabetes prediction in community settings: A systematic review and meta-analysis	50
Information seeking behavior and COVID-19 pandemic: A snapshot of young, middle aged and senior individuals in Greece	48

Using machine learning to predict ovarian cancer	48
Changes in technology acceptance among older people with dementia: the role of social robot engagement	47
Prediction of blood pressure variability using deep neural networks	46
Electronic consenting for conducting research remotely: A review of current practice and key recommendations for using e-consenting	46
From telehealth to virtual primary care in Australia? A Rapid scoping review	45
Decentralised provenance for healthcare data	45
Impact of COVID-19 on the psychological health of university students in Spain and their attitudes toward Mobile mental health solutions	45
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 approach	44
How technology impacts communication between cancer patients and their health care providers: A systematic literature review	43
Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques	43
The application of artificial intelligence (AI) techniques to identify frailty within a residential aged care administrative data set	42
Personalized predictive models for symptomatic COVID-19 patients using basic preconditions: Hospitalizations, mortality, and the need for an ICU or ventilator	42
A novel ensemble of random forest for assisting diagnosis of Parkinson's disease on small handwritten dynamics dataset	41
Smartphone as a monitoring tool for bipolar disorder: a systematic review including data analysis, machine learning algorithms and predictive modelling	40
Clinical information seeking behavior of physicians: A systematic review	40
Effectiveness of an app-based cognitive behavioral therapy program for postpartum depression in primary care: A randomized controlled trial	40
Digital health competencies for primary healthcare professionals: A scoping review	40