Results 21 to 30 of about 991,502 (283)

Artificial Intelligence Education and Tools for Medical and Health Informatics Students: Systematic Review

JMIR Medical Education, 2020
Background The use of artificial intelligence (AI) in medicine will generate numerous application possibilities to improve patient care, provide real-time data analytics, and enable continuous patient monitoring.
A. Sapci, H. Sapci
semanticscholar   +1 more source

A Systematic Review of the Technology Acceptance Model in Health Informatics

Applied Clinical Informatics, 2018
Background One common model utilized to understand clinical staff and patients' technology adoption is the technology acceptance model (TAM). Objective This article reviews published research on TAM use in health information systems development and ...
B. Rahimi, H. Nadri, H. Afshar, T. Timpka   +3 more
semanticscholar   +1 more source

Leveraging data visualization and a statewide health information exchange to support COVID-19 surveillance and response: Application of public health informatics

J. Am. Medical Informatics Assoc., 2021
OBJECTIVE To support public health surveillance and response to COVID-19 through rapid development and implementation of novel visualization applications for data amalgamated across sectors. MATERIALS AND METHODS We developed and implemented population-
B. Dixon, S. Grannis, C. McAndrews, A. Broyles, W. Mikels-Carrasco, A. Wiensch, Jennifer L. Williams, U. Tachinardi, P. Embí   +8 more
semanticscholar   +1 more source

Generative Adversarial Networks and Its Applications in Biomedical Informatics

Frontiers in Public Health, 2020
The basic Generative Adversarial Networks (GAN) model is composed of the input vector, generator, and discriminator. Among them, the generator and discriminator are implicit function expressions, usually implemented by deep neural networks. GAN can learn
L. Lan, Lei You, Zeyang Zhang, Zhiwei Fan, Weiling Zhao, Nianyin Zeng, Yidong Chen, Xiaobo Zhou   +7 more
semanticscholar   +1 more source

Perspectives in educating molecular pathologists on liquid biopsy: Toward integrative, equitable, and decentralized precision oncology

Molecular Oncology, EarlyView.
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié, Umberto Malapelle, Catherine Alix‐Panabières, Claus Lindbjerg Andersen, Sandra Chlebowski, Vivien Lake, Caroline Lacoux, Virginie Lespinet‐Fabre, Olivier Bordone, Simon Heeke, Christophe Bontoux, Ellen Heitzer, Klaus Pantel, Paul Hofman   +13 more
wiley   +1 more source

Polymer Genome: A Data-Powered Polymer Informatics Platform for Property Predictions

Journal of Physical Chemistry C, 2018
The recent successes of the Materials Genome Initiative have opened up new opportunities for data-centric informatics approaches in several subfields of materials research, including in polymer science and engineering.
Chiho Kim, Anand Chandrasekaran, T. D. Huan, D. Das, R. Ramprasad   +4 more
semanticscholar   +1 more source

Functional Connectivity Associations With Markers of Disease Progression in GRN Pathogenic Variant Carriers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autosomal dominant progranulin (GRN) pathogenic variants are a genetic cause of frontotemporal lobar degeneration. Though clinical trials for GRN‐related therapies are underway, there is an unmet need for biomarkers that can predict symptom onset and track disease progression.
Taru M. Flagan, Stephanie A. Chu, Suvi Häkkinen, Liwen Zhang, David McFall, Jonathan D. Rohrer, Jesse A. Brown, Alex J. Lee, Kristen Fernhoff, Lorenzo Pasquini, Katherine P. Rankin, Maria Luisa Mandelli, Maria Luisa Gorno‐Tempini, Jennifer S. Yokoyama, Virginia E. Sturm, Brian Appleby, Bradford C. Dickerson, Kimiko Domoto‐Reilly, Tatiana Foroud, Daniel H. Geschwind, Nupur Ghoshal, Neill R. Graff‐Radford, Ging‐Yuek Robin Hsiung, Eric J. Huang, Edward Huey, Kejal Kantarci, Irene Litvan, Ian R. Mackenzie, Mario F. Mendez, Chiadi U. Onyike, Leonard Petrucelli, Eliana Marisa Ramos, Erik D. Roberson, Julio C. Rojas, Maria Carmela Tartaglia, Arthur W. Toga, Sandra Weintraub, Leah K. Forsberg, Hilary W. Heuer, Brad F. Boeve, Adam L. Boxer, Howard J. Rosen, Bruce L. Miller, Fermin Moreno, William W. Seeley, Suzee E. Lee, on behalf of the ALLFTD Consortium   +46 more
wiley   +1 more source

Mapping and Taking Stock of the Personal Informatics Literature

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 2020
The research community on the study and design of systems for personal informatics has grown over the past decade. To take stock of what the topics the field has studied and methods the field has used, we map and label 523 publications from ACM's library,
Daniel A. Epstein, C. Caldeira, Mayara Costa Figueiredo, Xi Lu, Lucas M. Silva, Lucretia Williams, Jong Ho Lee, Qingyang Li, Simran Ahuja, Qiuer Chen, P. Dowlatyari, Craig Hilby, Sazeda Sultana, E. Eikey, Yunan Chen   +14 more
semanticscholar   +1 more source

CSF Mitochondrial DNA: Biomarker of Body Composition and Energy Metabolism in Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cerebrospinal fluid (CSF) cell‐free mitochondrial DNA (cf‐mtDNA) is a potential biomarker for Parkinson's disease (PD), but its clinical relevance remains unclear. We investigated associations between CSF cf‐mtDNA levels, body composition, nutritional status, and metabolic biomarkers in PD. Methods CSF cf‐mtDNA levels, defined as the
Yasuaki Mizutani, Tsuyoshi Nakai, Yasuhiro Maeda, Reiko Ohdake, Atsuhiro Higashi, Toshiki Maeda, Ryunosuke Nagao, Sayuri Shima, Kazuya Kawabata, Akihiro Ueda, Mizuki Ito, Hirohisa Watanabe   +11 more
wiley   +1 more source

Quantity and Volume of Perivascular Spaces Are Inversely Associated With Multiple Sclerosis Relative to Cerebrovascular Disease and Migraine

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To quantify the number and volume of whole brain perivascular spaces (PVS) using a detection and segmentation algorithm in participants with multiple sclerosis (MS) and patients with disorders mimicking MS known to potentially influence PVS, such as cerebrovascular disease.
Elle M. Levit, Elizabeth A. Horwath, Daniel L. Schwartz, Lisa C. Silbert, Russell T. Shinohara, Andrew J. Solomon   +5 more
wiley   +1 more source