Evaluation of the Vitros® Anti-T. cruzi assay for its incorporation into the Trypanosoma cruzi infection diagnostic algorithm by Miriam Campos-Ruiz, Jun Hao Wang-Wang, Belén Rivaya, Beatriz Rodriguez-Ponga, Noelia López, Victoria González, Pere-Joan Cardona, Gema Fernández-Rivas

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Rapid diagnostic algorithms as a screening tool for tuberculosis: an assessor blinded cross-sectional study. by Franz Ratzinger, Harald Bruckschwaiger, Martin Wischenbart, Bernhard Parschalk, Delmiro Fernandez-Reyes, Heimo Lagler, Alexandra Indra, Wolfgang Graninger, Stefan Winkler, Sanjeev Krishna, Michael Ramharter

“…Our results also emphasize the need for validation of new diagnostic algorithms in different settings and patient populations.…”
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Diagnostic test accuracy of simplified algorithms for diagnosing acute rheumatic fever: a systematic review by Rui Providencia, Ghazaleh Aali, Fang Zhu, Thomas Katairo, Mahmood Ahmad, Jonathan JH Bray, Ferruccio Pelone, Eloi Marijon, Miryan Cassandra, David S. Celermajer, Farhad Shokraneh

“…Methods We assessed the (i) diagnostic accuracy of simplified diagnostic algorithms among children, adolescents, and adults with suspected acute rheumatic fever, and (ii) the impact of different diagnostic criteria on the development of rheumatic heart disease (PROSPERO CRD42022344077). …”
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Diagnostic algorithm for the detection of carbapenemases and extended-spectrum β-lactamases in carbapenem-resistant Pseudomonas aeruginosa by Stefano Mancini, Laia Garcia-Verellen, Helena M. B. Seth-Smith, Peter M. Keller, Natalia Kolesnik-Goldmann, Muhammad Ali Syed, Irfan Ullah, Vladimira Hinic, Tim Roloff, Adrian Egli, Oliver Nolte

“…Knowing that these two groups display different activity profiles toward novel BL/β-lactamase-inhibitor (BLI) combinations, we developed and verified a cost-effective and easy-to-use diagnostic algorithm for screening and differentiation of carbapenemase and ESBL production in CRPA. …”
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Cost-effectiveness of different tuberculosis diagnostic approaches in Nigeria based on decision analytical modelling by Muktar H Aliyu, Hafsat U Ibrahim, Rayyan M Garba, Jameel I Ahmad, Kabiru Abdulsalam, Yasir N Jibril, Faisal S Dankishiya, Abdullahi Ibrahim, Ibrahim U Garzali, Aisha A Galadanci, Abdullahi K Suleiman, Abdulgafar L Olawumi, Umar F Abdullahi, Fatima M Mahmud, Amina A Umar, Olive Asafu- Adjaye, Lukman F Owolabi, Baba M Musa

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The clinical and laboratory algorithm for the diagnosis of acute cytomegalovirus infection in children by A. V. Permjakova, N. S. Pospelova, E. V. Melekhina

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Application and Challenges of Artificial Intelligence in Different Branches of Dentistry by Ali Mirzaei, Melika Mollaei, Anahita Lotfizadeh, Mehdi Aryana, Alireza Ebrahimpour

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Deep Learning Algorithm for Keratoconus Detection from Tomographic Maps and Corneal Biomechanics: A Diagnostic Study by Wiyada Quanchareonsap, Ngamjit Kasetsuwan, Usanee Reinprayoon, Yonrawee Piyacomn, Thitima Wungcharoen, Monthira Jermjutitham

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Heart failure with preserved ejection fraction (HFpEF): phenotypes, diagnostic algorithms, and new therapeutic options by Arnold Péter Ráduly, Máté Balázs Kovács, Máté Balázs Kovács, Attila Borbély

“…The aim of this review article to summarize the current knowledge on HFpEF, including different phenotypes, diagnostic challenges, and novel therapeutic options. …”
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An algorithm for the diagnostic differentiation of schizoaffective disorder and other endogenous psychoses with episodic course (schizophrenia and affective disorders) by M. Ye. Khomitskyi

“…The aim of the study was to develop an algorithm for the diagnostic differentiation of SAD and other endogenous psychoses with episodic course (schizophrenia and AD) based on the analysis of clinical-psychopathological, medical- psychological and clinical-ethological features of remission. …”
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HFSA: hybrid feature selection approach to improve medical diagnostic system by Asmaa H. Rabie, Mohammed Aldawsari, Ahmed I. Saleh, M. S. Saraya, Metwally Rashad

“…This article introduces a new diagnostic system (DS) that includes three main layers called the rejection layer (RL), selection layer (SL), and diagnostic layer (DL) to accurately diagnose cases suffering from various diseases. …”
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Joining forces for pathology diagnostics with AI assistance: The EMPAIA initiative by Norman Zerbe, Lars Ole Schwen, Christian Geißler, Katja Wiesemann, Tom Bisson, Peter Boor, Rita Carvalho, Michael Franz, Christoph Jansen, Tim-Rasmus Kiehl, Björn Lindequist, Nora Charlotte Pohlan, Sarah Schmell, Klaus Strohmenger, Falk Zakrzewski, Markus Plass, Michael Takla, Tobias Küster, André Homeyer, Peter Hufnagl

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EsoDetect: computational validation and algorithm development of a novel diagnostic and prognostic tool for dysplasia in Barrett’s esophagus by Migla Miskinyte, Benilde Pondeca, José B. Pereira-Leal, Joana Cardoso

“…Following the identification of genes with superior performance, different classifiers were trained. Subsequently, the best algorithms for diagnostic and prognostic applications were selected. …”
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THE DIAGNOSIS AND DIFFERENTIAL DIAGNOSIS OF PULMONARY TUBERCULOSIS AT DIFFERENT LEVELS OF MEDICAL CARE IN THE REPUBLIC OF BELARUS by G. L. Gurevich, E. M. Skryagina, O. M. ZALUTSKAYA

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Analysis of phenotypic manifestations of connective tissue dysplasia in adult patients with osteogenesis imperfecta and development of a diagnostic algorithm by D. I. Valeeva, R. I. Khusainova, L. N. Khusainova, M. M. Khafizov, A. V. Tyurin

“…In type III, spinal deformities are characteristic, chest deformities were more often observed in patients with type V OI. A clinical algorithm for determining OI types was developed to optimize diagnostics and genotyping.…”
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Comparative Diagnostic Efficacy of HeartLogic and TriageHF Algorithms in Remote Monitoring of Heart Failure: A Cohort Study by David Ledesma Oloriz, Daniel García Iglesias, Rodrigo Ariel di Massa Pezzutti, Fernando López Iglesias, José Manuel Rubín López

“…Until now, no other trial has evaluated both algorithms in a head-to-head comparison. The primary objective is to compare diagnostic accuracy of both algorithms in a similar cohort of patients. …”
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Magnetic resonance imaging measurement of the femoral antetorsional angle: Comparison with computer tomography and clinical application in a diagnostic algorithm by Ewa Tramś, Maciej Liszka, Krzysztof Kuliński, Kamila Malesa, Marcin Tyrakowski, Jerzy Białecki, Rafał Kamiński

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Identification and Validation of Four Serum Biomarkers With Optimal Diagnostic and Prognostic Potential for Gastric Cancer Based on Machine Learning Algorithms by Yi Liu, Bingxian Bian, Shiyu Chen, Bingqian Zhou, Peng Zhang, Lisong Shen, Hui Chen

“…Subsequently, the machine learning algorithms including least absolute shrinkage and selection operator (LASSO) regression and random forest (RF), combined with multiCox analysis were exploited to identify hub genes. …”
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Comparison of diagnostic algorithms in clinically suspected viral myocarditis: Agreement between cardiovascular magnetic resonance, endomyocardial biopsy, and troponin T by Hafisyatul Zainal, Andreas Rolf, Hui Zhou, Moises Vasquez, Felicitas Escher, Till Keller, Mariuca Vasa-Nicotera, Andreas M. Zeiher, Heinz-Peter Schultheiss, Eike Nagel, Valentina O. Puntmann

“…The EMB and CMR diagnostic algorithms are neither interchangeable in terms of interpretation of myocardial inflammation nor in their relationship with myocardial injury.…”
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How to Distinguish Attenuated Forms of Mucopolysaccharidosis and Articular Forms of Juvenile Arthritis: Development of Diagnostic Algorithm Based on the Data from Multicenter Retro... by Natalia V. Buchinskaya, Nato D. Vashakmadze, Natalia V. Zhurkova, Lubov S. Sorokina, Liudmila К. Mikhaylova, Leyla S. Namazova-Baranova, Ekaterina Yu. Zakharova, Valentina I. Larionova, Mikhail M. Kostik

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