The lecture is devoted to the urgent problem that is to increase the quality of cytological diagnosis, by diminishing the subjectivism factor via introduction of up-to-date computer information technologies into a cytologist's practice. Its main lines from the standardization of cytological specimen preparation to the registration of a cytologist's opinion and the assessment of the specialist's work quality at the laboratories that successfully use the capacities of the current information systems are described. Information technology capabilities to improve the interpretation of the cellular composition of cytological specimens are detailed.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Deep learning for the classification of atrial fibrillation using wavelet transform-based visual images.
BMC Med Inform Decis Mak
January 2025
Department of Biomedical Engineering, National Defense Medical Center, Taiwan, No.161, Sec.6, Minchiuan E. Rd., Neihu Dist, Taipei, 11490, Taiwan.
Background: As the incidence and prevalence of Atrial Fibrillation (AF) proliferate worldwide, the condition has become the epicenter of a plethora of ECG diagnostic research. In recent diagnostic methodologies, Morse Continuous Wavelet Transform (MsCWT) is a feature extraction technique utilized to draw out distinctive attributes of ECG signals. In our study, we explore the employment of MsCWT in the classification of AF with ECG signals in a continuum.
View Article and Find Full Text PDF3D synergistic tumor-liver analysis further improves the efficacy prediction in hepatocellular carcinoma: a multi-center study.
BMC Cancer
January 2025
Department of Radiology, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital, The Affiliated Hospital of Beijing Institute of Technology), No. 79 Kangning Road, Zhuhai, 519000, Guangdong Province, China.
Background: Besides tumorous information, synergistic liver parenchyma assessments may provide additional insights into the prognosis of hepatocellular carcinoma (HCC). This study aimed to investigate whether 3D synergistic tumor-liver analysis could improve the prediction accuracy for HCC prognosis.
Methods: A total of 422 HCC patients from six centers were included.
Functional genomic imaging (FGI), a virtual tool for visualization of functional gene expression modules in heterogeneous tumor samples.
Biol Direct
January 2025
Shanghai LIDE Biotech Co., Ltd., Shanghai, 201203, China.
Advances in sequencing technologies are reshaping clinical diagnostics, prompting the development of new software tools to decipher big data. To this end, we developed functional genomic imaging (FGI), a visualization tool designed to assist clinicians in interpreting RNA-Seq results from patient samples. FGI uses weighted gene co-expression network analysis (WGCNA), followed by a modified Phenograph clustering algorithm to identify co-expression gene clusters.
View Article and Find Full Text PDFDesign, implementation and evaluation of value-based payment models: a Delphi study.
BMC Health Serv Res
January 2025
Department of Health Services Research, Faculty of Health, Medicine and Life Sciences, CAHPRI, Maastricht University Medical Center, Maastricht University, P.O. Box 616, Maastricht, 6200 MD, the Netherlands.
Background: This study explores the facilitating and inhibiting factors in the design/development, implementation, and applicability/evaluation of value-based payment models of integrated care. The Delphi technique was used to reach consensus among a panel of (inter)national experts on these factors.
Methods: An expert panel of 15 members participated in a three-round Delphi study.
Association between stress hyperglycemia ratio and all-cause mortality in critically ill patients with sepsis: results from the MIMIC-IV database.
Eur J Med Res
January 2025
School of Medicine, Nankai University, Tianjin, 300071, China.
Background: This study aimed to explore the association between the stress hyperglycemia ratio (SHR) and short- and long-term outcomes in critically ill patients with sepsis.
Methods: This retrospective observational cohort study was conducted using the Medical Information Mart for Intensive Care-IV (MIMIC-IV v2.2) database.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!