Department of Epidemiology and Tropical Medicine; Military Institute of Medicine, Warsaw, Poland. kkorzeniewski@wim.mil.pl.
Department of Occupational, Metabolic and Internal Diseases, Institute of Maritime and Tropical Medicine, Medical University of Gdańsk, Poland. kkorzeniewski@wim.mil.pl.
Instituto de Higiene e Medicina Tropical, IHMT, Universidade NOVA de Lisboa, UNL, Rua da Junqueira 100, 1349-008 Lisboa, Portugal.
Global Health and Tropical Medicine, GHTM, Associate Laboratory in Translation and Innovation Towards Global Health, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade NOVA de Lisboa, UNL, Rua da Junqueira 100, 1349-008 Lisboa, Portugal.
Instituto de Higiene e Medicina Tropical, IHMT, Universidade NOVA de Lisboa, UNL, Rua da Junqueira 100, 1349-008 Lisboa, Portugal.
Global Health and Tropical Medicine, GHTM, Associate Laboratory in Translation and Innovation Towards Global Health, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade NOVA de Lisboa, UNL, Rua da Junqueira 100, 1349-008 Lisboa, Portugal.
Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland, USA.
Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland, USA.
Walter Reed National Military Medical Center, Bethesda, Maryland, USA.
Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland, USA.
Naval Medical Center Portsmouth, Portsmouth, Virginia, USA.
Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, Maryland, USA.
Department of Infectious Diseases/ - Tropical Medicine, Nephrology and Rheumatology, Klinikum St. Georg gGmbH, Leipzig, Germany; Interdisciplinary Center for Infectious Diseases (ZINF), Leipzig University Hospital, Leipzig, Germany; Division of Infectious Diseases and Tropical Medicine, Department of Oncology, Gastroenterology, Hepatology, Pneumology and Infectious Diseases, Leipzig University Hospital, Leipzig, Germany; Division of Microbiology, Institute of Medical Microbiology and Virology, Leipzig University Hospital, Leipzig, Germany.
National Referral Unit for Tropical and Travel Medicine, Hospital Universitario La Paz-Carlos III, IdiPAZ, C/ Sinesio Delgado N.° 10, 28029 Madrid, Spain.
A vascular lab procedure culminates in a diagnostic report that is a combination of the data generated on the vascular lab equipment, physician interpretations, and recommendations. The transcription ...
Increased automation transparency can improve the accuracy of automation use but can lead to increased bias towards agreeing with advice. Information about the automation's confidence in its advice ma...
The performance of a driving automation system (DAS) can influence the human drivers' trust in the system. This driving-simulator study examined how different types of DAS failures affected drivers' t...
Automation in clinical flow cytometry has the potential to revolutionize the field by improving processes and enhancing efficiency and accuracy. Integrating advanced robotics and artificial intelligen...
A factor that can potentially negatively impact the accuracy of automated decision aid use, and increase perceived workload, is time pressure. Increased automation transparency can increase the accura...
Implementation of automated steps in preparing blood components for transfusion from whole blood collections has produced improvements in multiple fields. The aim of this review is to summarize data f...
We searched MEDLINE for studies comparing semi-automated and fully automated whole blood processing systems published before 20 July 2021. Preferred Reporting Items for Systematic Reviews and Meta-Ana...
We identified 500 studies, of which 459 (92%) did not meet the eligibility criteria, and finally 17 studies were included in the analysis. Manual search included six additional studies. Publication ye...
Automation of whole blood processing resulted in continued improvements in productivity, product quality and technical features. However, too few publications are available to reach strong conclusions...
Evidence-based medicine (EBM) is a decision-making process based on the conscious and judicious use of the best available scientific evidence. However, the exponential increase in the amount of inform...
Comprehensive searches of the main databases were performed for articles published up to June 2022 and studies were selected according to inclusion and exclusion criteria. Data were extracted from the...
The total number of records retrieved from the databases was 12,145, of which 273 were included in the review. Classification of the studies according to the use of AI in evaluating the biomedical lit...
Our review shows that, despite significant progress in the automation of biomedical literature surveys and analyses in recent years, intense research is needed to fill knowledge gaps on more difficult...
A major barrier to the wider use of language sample analysis (LSA) is the fact that transcription is very time intensive. Methods that can reduce the required time and effort could help in promoting t...
This article describes an automated pipeline, called Batchalign, that takes raw audio and creates full transcripts in Codes for the Human Analysis of Talk (CHAT) transcription format, complete with ut...
For work with recordings from adults with language disorders, six major results were obtained: (a) The word error rate was between 2.4% for controls and 3.4% for patients, (b) utterance tokenization a...
The pipeline dramatically shortens the time gap between data collection and data analysis and provides an output superior to that typically generated by human transcribers....
An on-road study was conducted to examine the effects of level 2 automation on the stressfulness and enjoyment of driving and driving attention following prolonged usage. The study also examined the c...
Motorists who had never used automated systems drove a level 2 automation vehicle for a 6-8 week period....
Participants reported that the automated systems reduced the stress of driving and made traveling more enjoyable and relaxing. They also reported that the automation did not make traveling boring and ...
Although some of the findings suggest that automated systems increase unsafe behavior by novice users, other facets of the surveys suggest that motorists are cognizant of the risks of automated drivin...
Synthetic Biology has overcome many of the early challenges facing the field and is entering a systems era characterized by adoption of Design-Build-Test-Learn (DBTL) approaches. The need for automati...