The specific features of processes of current methods for instrumental diagnosis, which are used at therapeutical-and-prophylactic institutions are considered. Main problems in automation of endoscopic diagnosis and the current methods of their solution are discussed. Tasks required to put an automatic diagnostic system into practice are defined. The results of use of one of the developed variants of the system that has particular features of its implementation are presented. Sources of the efficiency of such systems are shown.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Graph contrastive learning of subcellular-resolution spatial transcriptomics improves cell type annotation and reveals critical molecular pathways.
Brief Bioinform
November 2024
School of Artificial Intelligence, Jilin University, Qianjin Street 2699, 130010 Changchun, China.
Imaging-based spatial transcriptomics (iST), such as MERFISH, CosMx SMI, and Xenium, quantify gene expression level across cells in space, but more importantly, they directly reveal the subcellular distribution of RNA transcripts at the single-molecule resolution. The subcellular localization of RNA molecules plays a crucial role in the compartmentalization-dependent regulation of genes within individual cells. Understanding the intracellular spatial distribution of RNA for a particular cell type thus not only improves the characterization of cell identity but also is of paramount importance in elucidating unique subcellular regulatory mechanisms specific to the cell type.
View Article and Find Full Text PDFA model of care redesign within rheumatology: A mixed methods approach integrating nurse practitioners and physician assistants.
J Am Assoc Nurse Pract
January 2025
Division of Cardiology, Department of Medicine, Duke Health Integrated Practice, Duke University Health System, Durham, North Carolina.
Background: Increasing patient demand and clinician burnout in rheumatology practices have highlighted the need for more efficient models of care (MOC). Interprofessional collaboration is essential for improving patient outcomes and clinician satisfaction.
Local Problem: Our current MOC lacks standardization and formal integration of Nurse Practitioners (NPs) and Physician Assistants (PAs), resulting in reduced clinician satisfaction and limited patient access.
Investigating Smartphone-Based Sensing Features for Depression Severity Prediction: Observation Study.
J Med Internet Res
January 2025
Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.
Background: Unobtrusively collected objective sensor data from everyday devices like smartphones provide a novel paradigm to infer mental health symptoms. This process, called smart sensing, allows a fine-grained assessment of various features (eg, time spent at home based on the GPS sensor). Based on its prevalence and impact, depression is a promising target for smart sensing.
View Article and Find Full Text PDFArtificial Intelligence in Retrosynthesis Prediction and its Applications in Medicinal Chemistry.
J Med Chem
January 2025
Medicinal Chemistry and Bioinformatics Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Retrosynthesis is a strategy to analyze the synthetic routes for target molecules in medicinal chemistry. However, traditional retrosynthesis predictions performed by chemists and rule-based expert systems struggle to adapt to the vast chemical space of real-world scenarios. Artificial intelligence (AI) has revolutionized retrosynthesis prediction in recent decades, significantly increasing the accuracy and diversity of predictions for target compounds.
View Article and Find Full Text PDFStudying gender in the experiences of patients with heart failure: A scoping review of qualitative studies and methodological recommendations.
Womens Health (Lond)
January 2025
Department of Ethics Law and Humanities, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Background: Considering how gendered experiences play a role in the lives of patients with heart failure (HF) is critical in order to understand their experiences, optimise clinical care and reduce health inequalities.
Objectives: The aim of our study was to review how gender is being studied in qualitative research in HF, specifically to (1) analyse how gender is conceptualised and applied in qualitative HF research; and (2) identify methodological opportunities to better understand the gendered experiences of patients with HF.
Eligibility Criteria: We conducted a systematic search of literature, including qualitive or mixed-methods articles focussing on patients' perspectives in HF and using gender as a primary analytical factor, excluding articles published before 2000.
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!