Academic Articles & Research Papers

Cross-cultural adaptation and psychometric properties of the Kessler Scale of Psychological Distress to a traumatic brain injury population in Swahili and the Tanzanian Setting

Abstract Background To evaluate the psychometric properties of a Swahili version of the Kessler Psychological Distress scale in an injury population in Tanzania. Methods Swahili version of the Kessler Psychological Distress scale was develo...

The Role of iSchools in Medical Informatics

Similar to iSchools, healthcare is an interdisciplinary field that encompasses heterogeneous environments (e.g., hospitals, clinics, home) and perspectives. However, medical informatics research focuses mainly on technical solutions to narr...

[Current issues of medical informatics].

Due to the modern high standards of information technologies it is only natural to promote our medical care and to ensure a new quality of clinical services. Information technologies should be introduced into the medical field with due resp...

The Missouri Medical Informatics Thesaurus.

The Missouri Medical Informatics Thesaurus, containing approximately 2,000 sorted terms, arranged within a hierarchical structure, covers the multi-disciplinary medical informatics field more accurately than anything else available. Researc...

Potholes in the Road to Professionalism in Medical Informatics

Abstract: Heathfield and Wyatt’s article in the current issue of Methods opens a debate about the status of Medical Informatics as a discipline and as a profession. While the desire for more professionalism of Medical Informatics is laudabl...

Fifty years in medical informatics.

OBJECTIVES: An overview of personal experiences in medical informatics based on Dr. Morris Collen's 50 years of research in the field. METHODS: A personal reminiscence and historical overview, focusing on the first two decades of medical in...

Ten years of medical informatics

Dopamine transporter binding in symptomatic controls and healthy volunteers: Considerations for neuroimaging trials

Objective: To evaluate possible differences between brain dopamine transporter (DAT) binding in a group of symptomatic parkinsonism patients without dopaminergic degeneration and healthy individuals. Background: Dopaminergic neuroimaging st...

Longitudinal analysis of white matter and cortical lesions in multiple sclerosis

Purpose: The goals of this study were to assess the performance of a novel lesion segmentation tool for longitudinal analyses, as well as to validate the generated lesion progression map between two time points using conventional and non-co...

Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs

Objective The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using clinical data and chest X-ray (CXR) data. Method The transfer learning method w...

Identifying Applied Aspects, Medical Fields, and Technological Trends in Developing Future Entrepreneurial Opportunities in Telemedicine

Introduction: Parallel with the growth of technologies, which affect the telemedicine, timely identification of telemedicine entrepreneurial opportunities seems to be necessary for the product development. This study aimed to identify appli...

Artificial intelligence-driven anthropometric assessment for young children: evaluating the accuracy and practicality of a digital image-based length and weight prediction tool

Background Monitoring early childhood growth is vital, as growth faltering could indicate nutritional or health issues requiring prompt intervention. Our study’s aim was to assess the performance of a length-weight artificial intelligence (...

Remote Patient Monitoring System for Polypathological Older Adults at High Risk for Hospitalization: Retrospective Cohort Study

Abstract BackgroundHealth care systems are increasingly facing challenges posed by the aging of populations. In particular, hospitalization, both initial and subsequent, is often observed among older adult patients. However, res...

Classroom Management Strategies of Multigrade Schools with Emphasis on the Role of Technology

Introduction : It appears that the effectiveness of a multigrade school class is dependent on the type of class management. Therefore this study aims to determine the classroom management strategies in multigrade schools with emphasis on th...

Effectiveness and Related Factors of Narrative Messages in Correcting Health-Related Misinformation: Protocol for a Systematic Review

BackgroundThe internet and social media have become essential sources of health information for patients and citizens; however, they often disseminate misinformation that lacks scientific evidence. Health-related misinformation can undermin...

Implementing and Evaluating a National Integrated Digital Registry and Clinical Decision Support System in Early Intervention in Psychosis Services (Early Psychosis Informatics Into Care): Co-Designed Protocol

BackgroundEarly intervention in psychosis (EIP) services are nationally mandated in England to provide multidisciplinary care to people experiencing first-episode psychosis, which disproportionately affects deprived and ethnic minority yout...

Deep learning prediction of pathological complete response in breast cancer using Mamba architecture

Abstract Deep learning is capable of efficiently predicting the therapeutic efficacy of neoadjuvant chemotherapy (NAC) in breast cancer. However, current methods predominantly rely on convolutional neural networks or transformer architectur...

Indivisibility and Variety of Medical Informatics

Summary In recent editorials it has been pointed out that medical informatics, seen as comprehensive health care informatics, should be understood as the science of information processing and engineering of automated information systems wit...

A method for automatically extracting infectious disease-related primers and probes from the literature

Abstract Background Primer and probe sequences are the main components of nucleic acid-based detection systems. Biologists use primers and probes for different tasks, some related to the diagnosis and prescription of infectious diseases. Th...

Development and validation of an interpretable machine learning model for predicting the risk of coronary heart disease risk in diabetes mellitus patients: a dual-center retrospective study

Abstract Background Diabetes mellitus (DM) combined with coronary heart disease (CHD) significantly increases the risk of cardiovascular events with a greater mortality rate. Therefore, establishing a predictive model can help DM patients r...