Artificial intelligence (AI) presents a key opportunity for radiologists to improve quality of care and enhance the value of radiology in patient care and population health. The potential opportunity of AI to aid in triage and interpretation of conventional radiographs (X-ray images) is particularly significant, as radiographs are the most common imaging examinations performed in most radiology departments. Substantial progress has been made in the past few years in the development of AI algorithms for analysis of chest and musculoskeletal (MSK) radiographs, with deep learning now the dominant approach for image analysis. Large public and proprietary image data sets have been compiled and have aided the development of AI algorithms for analysis of radiographs, many of which demonstrate accuracy equivalent to radiologists for specific, focused tasks. This article describes (1) the basis for the development of AI solutions for radiograph analysis, (2) current AI solutions to aid in the triage and interpretation of chest radiographs and MSK radiographs, (3) opportunities for AI to aid in noninterpretive tasks related to radiographs, and (4) considerations for radiology practices selecting AI solutions for radiograph analysis and integrating them into existing IT systems. Although comprehensive AI solutions across modalities have yet to be developed, institutions can begin to select and integrate focused solutions which increase efficiency, increase quality and patient safety, and add value for their patients.The study was carried out to identify the potential of phytoremediation within a flowing drain through Eichhornia crassipes in combination with two bacillus species to treat the inorganic and polycyclic aromatic hydrocarbons (PAHs) from industrial effluent at Kala Shah Kaku (KSK), Lahore, Pakistan. Results showed that the highest metals removal efficiency was found in Cr, Pb, Ni, and Cu as 72.4, 83.3, 82.35, and 63.63%, respectively. However, biochemical oxygen demand (BOD) and chemical oxygen demand (COD) removal efficiencies were also considerably higher (66.66 and 66.67%). The BOD, COD, sulfates, phosphate, and total dissolved solids (TDS) showed a higher reduction rate as 1442.7, 1967.3, 1148.2, 7225.4, and 911.5 g m-2 d-1, respectively. Chlorophyll a + b and carotenoid contents were decreased from 7.92 to 5.78 mg kg-1, 3.03 to 3.01 mg kg-1, respectively and total nitrogen was increased from 22 to 27 mg kg-1 in E. crassipes. Bio-concentration factor was higher for all metals and the maximum was found in Cr ( less then 1). The reduction efficiency of ƩPAHs was found up to 60% with different rings structure. The use of Bacillus safensis strain showed the higher percentage reduction for BOD, nitrates, sulfates, and phosphates. The Study provide practical reference for bacterial assisted phytoremediation of urban drain.Bacteroides, an abundant genus in the intestines of mammals, has been recently considered as the next generation probiotics (NGP) candidate due to its potential role in promoting host health. However, the role of Bacteroides in the development of intestinal dysfunctions such as diarrhea, inflammatory bowel disease, and colorectal cancer should not be overlooked. In the present study, we focused on nine most widely occurred and abundant Bacteroides species and discussed their roles in host immunity, glucose and lipid metabolism and the prevention or induction of diseases. Besides, we also discussed the current methods used in the safety evaluation of Bacteroides species and key opinions about the concerns of these strains for the future use.Proper evaluation of the relevant clinical factors for the prognosis of breast cancer is particularly important in the selection of appropriate therapeutic strategies. To further screen and identify the clinically significant factors associated with breast cancer, the Cox risk regression model analysis was performed in this study. The follow-up data of intact breast cancer patients were downloaded from METABRIC (Molecular Taxonomy of Breast Cancer International Consortium) database, and the prognostic factors correlated with radiotherapy factors were screened using the Cox risk regression model analysis of prognostic factors. The response of different clinical features to radiotherapy was also evaluated by survival prognosis analysis and prediction. A total of 1980 breast cancer patients were enrolled in this study, including 1173 patients who received the radiotherapy treatment and 807 patients without radiotherapy treatment. To further study the correlation between the clinical prognostic factors and the overall survival, the single factor and multivariate Cox regression analysis were performed, and the clinical prognostic factors implied that the patients with age less then 60 years, receiving radiotherapy, grade 1, stage 0-1, or human epidermal growth factor receptor 2 (HER2) negative had a better overall clinical survival. The association analysis of the radiotherapy treatment and the clinical prognostic factors implied that the patients with younger age, stage lower, or HER2 negative showed a better overall clinical survival, and the patients who received radiotherapy had a better 3-year survival probability and 5-year survival probability. Screening and identifying the clinically significant factors associated with breast cancer can help predict the risk of disease. Age, stage, or HER2 status was the prognostic factors correlated with radiotherapy treatment.Rationale Hypersensitivity pneumonitis (HP) is an interstitial lung disease (ILD) characterized by inflammation and/or fibrosis in response to an inhalational exposure.Objectives To determine the value of bronchoalveolar lavage (BAL) fluid lymphocyte cellular analysis in the detection of HP among patients with newly detected ILD.Methods This systematic review was undertaken in the context of development of an American Thoracic Society, Japanese Respiratory Society, and Asociación Latinoamericana del Tórax clinical practice guideline. The clinical question was, “should patients with newly detected ILD undergo BAL fluid lymphocyte analysis to diagnose HP?” MEDLINE, EMBASE, and the gray literature were searched through October 2019. Studies that reported the percentage of BAL fluid lymphocytes for various ILDs were selected for inclusion. Meta-analyses compared the mean percentage of BAL fluid lymphocytes among patients with HP with that among patients with idiopathic pulmonary fibrosis (IPF) or sarcoidosis. Glumetinib concentration The sensitivity and specificity by which various percentages of BAL fluid lymphocytes distinguish HP from IPF and sarcoidosis were also evaluated.