Many scholars believe that psychiatric nosology is undergoing a crisis of confidence. Some of the issues up for debate hark back to the introduction of the natural history approach to classification in the seventeenth century. Natural histories map sameness and difference rather than speculate about causes. In contrast, the natural classification approach aspires to carve nature at the joints by demarcating classifications by causes. Natural classifications are more ideal scientifically, but speculation about causality has had a poor track record in psychiatric nosology. A natural classification of psychiatric disorders may have the added burden of requiring normative assumptions in addition to the discovery of fact. In the natural classification tradition, the epistemic iteration perspective, the Research Domain Criteria (RDoC) initiative, and dimensional models offer different views about the criteria of naturalness (or validity). Also in this tradition, some thinkers believe that causes can be empirically indexed by latent variable models, especially if the latent variables are moderately heritable, but these assumptions may be neither statistically nor genetically warranted.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1146/annurev-clinpsy-032816-045020 | DOI Listing |
J Transl Med
January 2025
Department of Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, China.
Background: Acute respiratory distress syndrome (ARDS) is a prevalent complication among critically ill patients, constituting around 10% of intensive care unit (ICU) admissions and mortality rates ranging from 35 to 46%. Hence, early recognition and prediction of ARDS are crucial for the timely administration of targeted treatment. However, ARDS is frequently underdiagnosed or delayed, and its heterogeneity diminishes the clinical utility of ARDS biomarkers.
View Article and Find Full Text PDFBMC Cancer
January 2025
The Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
Background And Objectives: Accurate classification of lymphadenopathy is essential for determining the pathological nature of lymph nodes (LNs), which plays a crucial role in treatment selection. The biopsy method is invasive and carries the risk of sampling failure, while the utilization of non-invasive approaches such as ultrasound can minimize the probability of iatrogenic injury and infection. With the advancement of artificial intelligence (AI) and machine learning, the diagnostic efficiency of LNs is further enhanced.
View Article and Find Full Text PDFBMC Genomics
January 2025
College of Forestry and Grassland, Nanjing Forestry University, Nanjing, 210037, China.
Cold stress in winter is one of the most severe abiotic stresses on plant growth and flourishing, and the selection of cold tolerant genotypes is an important strategy to ensure the safety of plant growth and development. Cyclocarya paliurus, a diclinous and versatile tree species originally in subtropical regions, has been introduced and cultivated in the warm temperate zone of China to meet the increasing market demand for its leaf yield. However, information regarding its cold tolerance remains limited.
View Article and Find Full Text PDFOral Radiol
January 2025
Department of Software Engineering, Faculty of Engineering, Muğla Sıtkı Koçman University, Muğla, 4800, Turkey.
Objectives: Pulp stones are ectopic calcifications located in pulp tissue. The aim of this study is to introduce a novel method for detecting pulp stones on panoramic radiography images using a deep learning-based two-stage pipeline architecture.
Materials And Methods: The first stage involved tooth localization with the YOLOv8 model, followed by pulp stone classification using ResNeXt.
Neuroinformatics
January 2025
Department of Mathematics and Statistics, Changsha University of Science and Technology, Changsha, 410114, China.
In order to construct a clinical classification prediction model for hydrocephalus after intercerebral haemorrhage(ICH) to guide clinical treatment decisions, this paper retrospectively analyses the clinical data of 844 cases of ICH and hydrocephalus inpatients admitted to Yueyang People's Hospital from May 2019 to October 2022, of which 95 cases of hydrocephalus occurred after ICH and no hydrocephalus in 749 cases. The following indicators were compared between the two groups of patients: gender, age, Glasgow Coma Scale(GCS)score, whether the amount of bleeding was greater than 30 ml, whether it broke into the ventricle or not, modified Graeb score(MGS), modified Rankin Scale (MRS) score, whether surgery was performed or not, red blood cells, white blood cells, and platelets. After variable screening, the following six variables were selected: GCS score, MGS, MRS score, whether the bleeding volume was greater than 30 ml, whether it broke into the ventricle or not, and whether surgery was performed or not were modelled and analysed using logistic regression model and support vector machine model in machine learning.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!