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EPEPT: A web service for enhanced P-value estimation in permutation tests

Knijnenburg Theo A, Lin Jake, Rovira Hector, Boyle John et al. • BMC Bioinformatics (2011)

Abstract Background In computational biology, permutation tests have become a widely used tool to assess the statistical significance of an event under investigation. However, the common way of computing the P-value, which expresses the sta...

DOAJ Open Access (DOAJ) DOI: 10.1186/1471-2105-12-411

Real-World Evaluation of AI-Driven Diabetic Retinopathy Screening in Public Health Settings: Validation and Implementation Study

Mona Duggal, Anshul Chauhan, Vishali Gupta, Ankita Kankaria et al. • JMIR Medical Informatics (2025)

Abstract BackgroundArtificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagno...

DOAJ Open Access (DOAJ) DOI: 10.2196/67529

Digital quality gradient and the burden of elderly depression: A spatial multi kernel SVR analysis of socio economically vulnerable groups in England

Jin Rui, Yijing Li, Hector D. Menendez, Mariana Pinto da Costa • Digital Health (2026)

Digital infrastructure is increasingly understood as part of the contemporary built environment and as a policy-relevant area-level correlate of older adults’ mental health. Existing studies have often relied on linear models and have paid ...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076261465140

G-Aligner: a graph-based feature alignment method for untargeted LC–MS-based metabolomics

Ruimin Wang, Miaoshan Lu, Shaowei An, Jinyin Wang et al. • BMC Bioinformatics (2023)

Abstract Background Liquid chromatography–mass spectrometry is widely used in untargeted metabolomics for composition profiling. In multi-run analysis scenarios, features of each run are aligned into consensus features by feature alignment ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12859-023-05525-4

Effects of chronic taurine administration on healthy pregnant rats and the consequences on the offspring: Datasets for motor tests and oxidative stress

Viridiana Vargas-Castro, Ricardo Gomez-Diaz, Victor M. Blanco-Alvarez, Constantino Tomas-Sanchez et al. • Data in Brief (2022)

We present the data for taurine (2-aminoethanesulfonic acid) treatment to healthy pregnant Sprague Dawley rats (SD). At embryonic day 15 (E15), healthy pregnant SD rats were given taurine treatment (50 mg/L drinking water) and then to their...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2022.108015

Challenges and conditions for successfully implementing and adopting the telematics infrastructure in German outpatient healthcare: A qualitative study applying the NASSS framework

Kim Nordmann, Stefanie Sauter, Marie-Christin Redlich, Patricia Möbius-Lerch et al. • Digital Health (2024)

Background Germany's healthcare system provides high-quality, universal health coverage to almost all residents. However, a major challenge lies in the strong separation of healthcare structures, which hinders efficient interprofessional an...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076241259855

Quantum computing in medical informatics

Kavita Khare, Zainab Aizaz, Nilay Khare • CRC Press eBooks (2025)

In an era of exponential technological advancements, the integration of quantum computing (QC) and medical informatics emerges as a captivating frontier, promising to unlock a new realm of possibilities for healthcare. QC, harnessing the pr...

OPENALEX DOI: https://doi.org/10.1201/9781003503033-10

(Bio)Medical Informatics in the Next Decade

Thomas C. Rindfleisch • Journal of the American Medical Informatics Association (1998)

Even though medical informatics is most often viewed from the perspective of its host disciplines in clinical and biologic medicine, it has an identity and agenda of its own. This paper is an attempt to promote discussion about the long-ter...

OPENALEX Open Access DOI: https://doi.org/10.1136/jamia.1998.0050416 PMC: 61322

The effect of structured medication review followed by face-to-face feedback to prescribers on adverse drug events recognition and prevention in older inpatients – a multicenter interrupted time series study

Joanna E. Klopotowska, Paul F. M. Kuks, Peter C. Wierenga, Clementine C. M. Stuijt et al. • BMC Geriatrics (2022)

Abstract Background The effectiveness of interventions to improve medication safety in older inpatients is unclear, given a paucity of properly designed intervention studies applying clinically relevant endpoints such as hospital-acquired p...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12877-022-03118-z

The Reconnecting the Hand and Arm with Brain (ReHAB) Commentary on “An Integrated Brain-Machine Interface Platform With Thousands of Channels”

Kirsch, Robert F, Ajiboye, A Bolu, Miller, Jonathan P • Journal of Medical Internet Research (2019)

Intracortical brain-machine interfaces are a promising technology for allowing people with chronic and severe neurological disorders that resulted in loss of function to potentially regain those functions through neuroprosthetic devices. Th...

DOAJ Open Access (DOAJ) DOI: 10.2196/16339

Caring for Computers: The Hidden Work of Clinical Nurses during the Introduction of Health Information Systems in a Teaching Hospital in Taiwan

Feng-Tzu Huang • Nursing Reports (2021)

Implementing health information systems for enhancing patient care and management occurs worldwide. Discovering how nurses, as important system end-users, experience technology-reliant clinical practice involved focus groups (n = 25) and in...

DOAJ Open Access (DOAJ) DOI: 10.3390/nursrep11010011

Understanding tinnitus symptom dynamics and clinical improvement through intensive longitudinal data

Milena Engelke, Jorge Piano Simões, Laura Basso, Nina Wunder et al. • npj Digital Medicine (2025)

Abstract Intensive longitudinal sampling enhances subjective data collection by capturing real-time, dynamic inputs in natural settings, complementing traditional methods. This study evaluates the feasibility of using daily self-reported ap...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-024-01425-w

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

Joao Ricardo Nickenig Vissoci, Silvia Daniela Vaca, Deena El-Gabri, Leonardo Pestillo de Oliveira et al. • Health and Quality of Life Outcomes (2018)

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...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12955-018-0973-0

The Role of iSchools in Medical Informatics

Saira Naim Haque, Carsten S. Østerlund, Madhu C Reddy • Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) (2010)

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...

OPENALEX

Longitudinal analysis of white matter and cortical lesions in multiple sclerosis

Mário João Fartaria, Tobias Kober, Cristina Granziera, Meritxell Bach Cuadra • NeuroImage: Clinical (2019)

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...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2019.101938

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

Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu et al. • Digital Health (2022)

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...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076221120317

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

Fabian Yap, Daniel Chan, Mei Chien Chua, Matthew Hadimaja et al. • BMJ Health & Care Informatics (2025)

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 (...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjhci-2025-101540