Results 11 to 20 of about 16,288,597 (342)

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

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

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

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

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, R. 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

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

SalivaDirect: Simple and sensitive molecular diagnostic test for SARS-CoV-2 surveillance

medRxiv, 2020
Current bottlenecks for improving accessibility and scalability of SARS-CoV-2 testing include diagnostic assay costs, complexity, and supply chain shortages. To resolve these issues, we developed SalivaDirect. The critical component of our approach is to
C. Vogels, A. Watkins, Christina A. Harden, D. Brackney, Jared Shafer, Jianhui Wang, C. Caraballo, C. Kalinich, I. Ott, J. Fauver, Eriko Kudo, Peiwen Lu, A. Venkataraman, M. Tokuyama, A. Moore, M. C. Muenker, A. Casanovas-Massana, John B. Fournier, S. Bermejo, M. Campbell, R. Datta, A. Nelson, C. D. Dela Cruz, A. Ko, A. Iwasaki, H. Krumholz, JD Matheus, P. Hui, Chen Liu, S. Farhadian, R. Sikka, A. Wyllie, N. Grubaugh   +32 more
semanticscholar   +1 more source

Diagnostic testing and interpretation of tests for autoimmunity [PDF]

Journal of Allergy and Clinical Immunology, 2010
Laboratory testing is of great value when evaluating a patient with a suspected autoimmune disease. The results can confirm a diagnosis, estimate disease severity, aid in assessing prognosis and are useful for following disease activity. Components of the laboratory examination include a complete blood count with differential, a comprehensive metabolic
Mark F. Gourley, Christine Castro
openaire   +3 more sources

Receiver operating characteristic curve in diagnostic test assessment.

Journal of Thoracic Oncology, 2010
The performance of a diagnostic test in the case of a binary predictor can be evaluated using the measures of sensitivity and specificity. However, in many instances, we encounter predictors that are measured on a continuous or ordinal scale.
J. Mandrekar
semanticscholar   +1 more source