Academic Articles & Research Papers

Comparative assessment of patient education content generated by five large language models on post-stroke complications: A cross-sectional study of safety, accuracy, reliability, readability, and empathy

Objective To compare the safety, accuracy, reliability, readability, and empathy of patient education content generated by five large language models (LLMs) for post-stroke complications. Methods This CHART-guided cross-sectional comparativ...

Skubiosios medicinos pagalbos slaugos specialistų profesinio perdegimo sindromo raiška

Straipsnyje analizuojama perdengimo sindromo raiška tarp skubios medicinos pagalbos (SMP) slaugos specialistų. Remiantis teorine profesinio perdengimo dimensijos požymių ir priežasčių analize, atliktas empirinis SMP slaugos specialistų tyri...

TURINIO RINKODAROS TYRIMŲ KAITOS TENDENCIJOS 2010-2021 M.: SISTEMINIS POŽIŪRIS

Dinamiškoje ir konkurencingoje rinkoje organizacijoms yra aktualu formuoti konkurencinį pranašumą ir kurti ryšius unikaliais, adresatams pritaikytais sprendimais. Siekiant organizacijoms konkurencinio pranašumo skaitmeniniu pavidalu, naudoj...

Structural dataset for the PPARγ V290M mutant

Loss-of-function mutation V290M in the ligand-binding domain of the peroxisome proliferator activated receptor γ (PPARγ) is associated with a ligand resistance syndrome (PLRS), characterized by partial lipodystrophy and severe insulin resis...

DEVELOPING AN EXPLAINABLE AI MODEL FOR DIAGNOSIS AND PROGNOSIS IN INTERSTITIAL LUNG DISEASE

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...

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...

A career in medical informatics

Mohammad Al-Ubaydli explains how to have a career in medical informatics1 If you want to understand why I love technology, take a look at my hearing aid. Just before starting my house job, my nightmare scenario was of being deafened by the...

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...

A Severe Acute Respiratory Syndrome extranet: supporting local communication and information dissemination

Abstract Background The objective of this study was to explore the use and perceptions of a local Severe Acute Respiratory Syndrome (SARS) Extranet and its potential to support future information and communication applications. The SARS Ext...

Section IV. Medical Informatics

WHAT IS IT? In the summer of 2004 I was invited to lecture at Dartmouth. Dr. Rosen, my host,asked me if I could address my interpretation of Medical Informatics during my lecture. Thispresentation made me review and reflect on some old and ...

Integrating machine learning algorithms and explainable artificial intelligence approach for predicting patient unpunctuality in psychiatric clinics

This study addresses patient unpunctuality, a major concern affecting patient waiting time, resource utilization, and quality of care. We develop and compare four machine learning models, including multinomial logistic regression, decision ...

Medical Informatics as a Scientific Discipline

Impacts of the COVID-19 Pandemic on Primary Care Utilization: An Analysis of Primary Care Claims Data in Alberta, Canada

Background: The COVID-19 pandemic disrupted primary health care systems worldwide, prompting rapid changes in how care was delivered. In Alberta, this included a significant shift from in-person to virtual care. This study examines trends i...

History of medical informatics at Utah

chapter Free Access Share on History of medical informatics at Utah Author: Homer R. Warner View Profile Authors Info & Claims A history of medical informaticsJune 1990 Pages 357–366https://doi.org/10.1145/89482.89514Published:01 June 1990P...

Income and education predict elevated depressive symptoms in the general population: results from the Gutenberg health study

Abstract Background Socioeconomic status (SES) has a strong association with depression or physical and mental health in general. However, as SES is a multifaceted construct these associations are not easy to explain. Further, there are sev...

Central vein sign: A diagnostic biomarker in multiple sclerosis (CAVS-MS) study protocol for a prospective multicenter trial

The specificity and implementation of current MRI-based diagnostic criteria for multiple sclerosis (MS) are imperfect. Approximately 1 in 5 of individuals diagnosed with MS are eventually determined not to have the disease, with overrelianc...

Health-related quality of life in Chinese population with non-alcoholic fatty liver disease: a national multicenter survey

Abstract Background Health Related Quality of Life (HRQL) is a multi-dimensional construct that can comprehensively evaluate the patient’s health status, including physical, emotional, mental and social well-being. In this study, we aimed t...

Argumentation approaches for explanaible AI in medical informatics

Artificial Intelligence algorithms are powerful in performing accurate predictions, but they are often considered black boxes as they do not provide any explanation about how outputs are derived from inputs or why a decision is taken. There...