Development and application of a deep learning-based comprehensive early diagnostic model for chronic obstructive pulmonary disease.

Background: Chronic obstructive pulmonary disease (COPD) is a frequently diagnosed yet treatable condition, provided it is identified early and managed effectively. This study aims to develop an advanced COPD diagnostic model by integrating deep learning and radiomics features.

Methods: We utilized a dataset comprising CT images from 2,983 participants, of which 2,317 participants also provided epidemiological data through questionnaires.

Diagnosis of breast cancer lesion using ultrasound images, elastography, and Ki-67 protein cell proliferation index.

Today, using elastography and ultrasound images is the best method for diagnosing breast cancer for dense tissues, especially for women under 30 years old, which is used to detect the exact border of masses. Besides, using quantitative microscopic criteria that are less tasteful seems to be useful in predicting the behavior of the tumor and its prognosis. Ki-67 is an antigen corresponding to a nuclear non-histone protein produced by cells in proliferative phases.

Intensive Intervention Improves Outcomes for Chronic Obstructive Pulmonary Disease Patients: A Medical Consortium-Based Management.

Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality. Strategies involving multidimensional approaches for the treatment of COPD are needed. This study aimed to evaluate the efficiency of medical consortium-based management for COPD.

Risk factors for antibiotic resistance and mortality in patients with bloodstream infection of Escherichia coli.

This study aimed to investigate the risk factors for bloodstream infection (BSI) caused by extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli (E. coli) and related mortality. The clinical data of 388 patients with E.

[Patients of bloodstream infection: analysis of antibiotic resistance and predictors of mortality].

To analyze the drug resistance of (.) from bloodstream infection (BSI) and the predictors of mortality in . bloodstream infection (BSI).