Results 11 to 20 of about 18,478,245 (398)

Diagnostic test interpretation and referral delay in patients with interstitial lung disease. [PDF]

Respiratory Research, 2019
BACKGROUND:Diagnostic delays are common in patients with interstitial lung disease (ILD). A substantial percentage of patients experience a diagnostic delay in the primary care setting, but the factors underpinning this observation remain unclear.
Adegunsoye, Ayodeji, Boctor, Noelle, Chung, Jonathan H, DiGeronimo, Ryan, Kadoch, Michael, Lafond, Elyse, Oldham, Justin M, Pan, Isabella, Pritchard, David, Pugashetti, Janelle Vu, Sarma, Nandini, Strek, Mary   +11 more
core   +3 more sources

Development and Validation of a New Substance Use Disorder Screening Test Based on the Diagnostic and Statistical Manual of Mental Disorders (DSM-5)

Journal of Health Science and Medical Research, 2023
Objective: The lack of a screening tool for substance use disorders is a significant problem for health care workers for patient care and referral.
Sukuma Saengduenchai, S. Nilaban, Tanya Singtho, Apichart Ranuwattananon, R. Kalayasiri   +4 more
semanticscholar   +1 more source

Diagnostic test accuracy of ultrasound for sarcopenia diagnosis: A systematic review and meta‐analysis

Journal of Cachexia, Sarcopenia and Muscle, 2022
Muscle ultrasound is an emerging tool for diagnosing sarcopenia. This review aims to summarize the current knowledge on the diagnostic test accuracy of ultrasound for the diagnosis of sarcopenia.
Hongbo Fu, L. Wang, Wenyi Zhang, Jing Lu, Ming Yang   +4 more
semanticscholar   +1 more source

Strengths and limitations of diagnostic tools for endometriosis and relevance in diagnostic test accuracy research

Ultrasound in Obstetrics and Gynecology, 2022
Endometriosis is a chronic systemic disease that can cause pain, infertility and reduced quality of life. Diagnosing endometriosis remains challenging, which yields diagnostic delays for patients. Research on diagnostic test accuracy in endometriosis can
E. Pascoal, J. M. Wessels, M. Aas-Eng, M. Abrão, G. Condous, D. Jurković, M. Espada, C. Exacoustos, S. Ferrero, S. Guerriero, G. Hudelist, M. Malzoni, S. Reid, S. Tang, C. Tomassetti, S. Singh, T. van den Bosch, M. Leonardi   +17 more
semanticscholar   +1 more source

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

BMJ Open, 2021
Introduction Standards for Reporting of Diagnostic Accuracy Study (STARD) was developed to improve the completeness and transparency of reporting in studies investigating diagnostic test accuracy.
V. Sounderajah, H. Ashrafian, Robert M. Golub, S. Shetty, Jeffrey De Fauw, L. Hooft, K. Moons, G. Collins, D. Moher, P. Bossuyt, A. Darzi, A. Karthikesalingam, A. Denniston, B. Mateen, D. Ting, D. Treanor, Dominic King, F. Greaves, J. Godwin, Jonathan Pearson-Stuttard, L. Harling, M. McInnes, Nader Rifai, Nenad Tomašev, P. Normahani, P. Whiting, R. Aggarwal, S. Vollmer, S. Markar, T. Panch, Xiaoxuan Liu   +30 more
semanticscholar   +1 more source

Perception Test: A Diagnostic Benchmark for Multimodal Video Models [PDF]

Neural Information Processing Systems, 2023
We propose a novel multimodal video benchmark - the Perception Test - to evaluate the perception and reasoning skills of pre-trained multimodal models (e.g. Flamingo, SeViLA, or GPT-4). Compared to existing benchmarks that focus on computational tasks (e.
Viorica Puatruaucean, Lucas Smaira, Ankush Gupta, Adrià Recasens Continente, L. Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yezhou Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, A. Fréchette, H. Klimczak, R. Koster, Junlin Zhang, Stephanie Winkler, Y. Aytar, Simon Osindero, D. Damen, Andrew Zisserman, João Carreira   +23 more
semanticscholar   +1 more source

A multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic studies in the presence of non-evaluable subjects [PDF]

, 2020
Diagnostic test accuracy studies observe the result of a gold standard procedure that defines the presence or absence of a disease and the result of a diagnostic test.
Aristidis K Nikoloulopoulos, Genest C, Nash J., Schuetz GM, Stroud AH   +4 more
core   +2 more sources

Limitations of a Commercial Assay as Diagnostic Test of Autoimmune Encephalitis

Frontiers in Immunology, 2021
Detection of neuronal surface antibodies (NSAb) is important for the diagnosis of autoimmune encephalitis (AE). Although most clinical laboratories use a commercial diagnostic kit (Euroimmun, Lübeck, Germany) based on indirect immunofluorescence on ...
Raquel Ruiz-García, Raquel Ruiz-García, Guillermo Muñoz-Sánchez, Laura Naranjo, Mar Guasp, Mar Guasp, Mar Guasp, Lidia Sabater, Albert Saiz, Albert Saiz, Josep Dalmau, Josep Dalmau, Josep Dalmau, Josep Dalmau, Josep Dalmau, Francesc Graus, Eugenia Martinez-Hernandez, Eugenia Martinez-Hernandez   +17 more
doaj   +1 more source

Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist

British medical journal, 2020
Systematic reviews of diagnostic test accuracy (DTA) studies are fundamental to the decision making process in evidence based medicine. Although such studies are regarded as high level evidence, these reviews are not always reported completely and ...
J. Salameh, P. Bossuyt, Trevor A. McGrath, B. Thombs, C. Hyde, P. Macaskill, J. Deeks, M. Leeflang, D. Korevaar, P. Whiting, Y. Takwoingi, J. Reitsma, Jérémie F. Cohen, R. Frank, H. Hunt, L. Hooft, A. Rutjes, B. Willis, C. Gatsonis, B. Levis, D. Moher, M. McInnes   +21 more
semanticscholar   +1 more source

Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy

Intensive Care Medicine, 2020
Purpose Early clinical recognition of sepsis can be challenging. With the advancement of machine learning, promising real-time models to predict sepsis have emerged.
L. Fleuren, T. Klausch, Charlotte L. Zwager, L. Schoonmade, Tingjie Guo, Luca F Roggeveen, E. Swart, A. Girbes, P. Thoral, A. Ercole, M. Hoogendoorn, P. Elbers   +11 more
semanticscholar   +1 more source