Results 191 to 200 of about 678,144 (288)

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

Arthritis Care &Research, EarlyView.
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah, Alexis Castellanos, Yen Chen, John Piette, Amy Bucher, Susan Murphy   +5 more
wiley   +1 more source

Recent advance in early oral lesion diagnosis: the application of artificial intelligence-assisted endoscopy. [PDF]

Front Oncol
Zhao X, Lin H, Zeng B, Zhou R, Ma L, Liu B, Shan Q, Wu T.   +7 more
europepmc   +1 more source

Assessment of Skin in Patients With Systemic Sclerosis Using High‐Frequency Ultrasound and Shear Wave Elastography: A Comparative Study With Histology, Molecular, and Clinical Parameters

Arthritis Care &Research, EarlyView.
Objective Ultrasound (US) has been proposed as a potential tool for assessing skin fibrosis in systemic sclerosis (SSc). However, a large‐scale comparison of US‐based assessment with histologic markers of skin fibrosis has not been reported. We evaluated US‐based skin assessments for their face validity (differentiation between involved SSc and healthy
Ruhani Desai, Filemon Tan, Minghua Wu, Jeffery L. Browning, Samuel Theodore, Meng Zhang, Brian Skaug, Harshdeep Singh Chawla, Manmohan Singh, Salavat Aglyamov, Kirill V. Larin, Maureen Mayes, Shervin Assassi   +12 more
wiley   +1 more source

Revolutionizing sepsis diagnosis using machine learning and deep learning models: a systematic literature review. [PDF]

BMC Infect Dis
Zubair M, Din I, Sarwar N, Elov B, Makhmudov S, Trabelsi Z.   +5 more
europepmc   +1 more source

Implementation of flow cytometry technique for evaluation of neutrophil phagocytic activity in clinical laboratory practice

Юлія Шушкова, А. А. Панина, L. V. Nikulina, V. N. Pavlovskaya, I. S. Oleinikova   +4 more
openalex   +2 more sources

Study on the Fourth Industrial Revolution and Clinical Laboratory Science Techniques

, 2019
Hyun Ho Sung, Kwang-Mo Choi, You Hyun Jung, Eun Kyung Cho   +3 more
openalex   +2 more sources

Accuracy of Diagnostic Codes and Algorithms Used to Identify Rheumatoid Arthritis and Juvenile Idiopathic Arthritis in Administrative Claims and Electronic Health Records: Systematic Review and Meta‐Analysis

Arthritis Care &Research, EarlyView.
Objective This systematic review aimed to assess the diagnostic accuracy of algorithms used to identify rheumatoid arthritis and juvenile idiopathic arthritis in electronic health records. Methods We searched Medline, Embase, and Cochrane Central Register for Controlled Trials databases and included studies that validated case definitions against a ...
Constanza Saka‐Herrán, Jessica Bennett, Yara Alkabti, Muhammad Fatir, Barbara Clyne, Caroline McCarthy, Gráinne Tynan, Nikki Dunne, Michelle Flood, Eoghan McCarthy, Frank Moriarty   +10 more
wiley   +1 more source

Surface Conditioning Methods and Their Effects on Micro-Tensile Bond Strength and Micro-Chemical Properties of Glass-Infiltrated Zirconia: An In Vitro Study. [PDF]

Med Sci Monit
Yaqoob A, Chaturvedi M, Chaturvedi S, Khader MA, Suleman G, Kulkarni MM, Shah SJ, Elmahdi AE, Gurumurthy V, Javali MA, Sharif RA, Ahmed AR, Ali ABM, Vyas R.   +13 more
europepmc   +1 more source

Sarilumab in Polyarticular‐Course Juvenile Idiopathic Arthritis: Dose‐Finding and One‐Year Analysis of a Phase 2b, Open‐Label, Multicenter Study

Arthritis Care &Research, Accepted Article.
Objective This study assessed sarilumab in treating patients with polyarticular‐course juvenile idiopathic arthritis (pcJIA). Methods This phase 2b, open‐label study (NCT02776735) consisted of three sequential parts (each with a core‐treatment and extension‐phase). During part 1, three doses were assessed in two weight groups (Group A/B: ≥30–60 kg/≥10–<
Fabrizio De Benedetti, Inmaculada C. Penadés, Irina Nikishina, Ivan Foeldvari, Alberto J. Spindler, Anna Kozlova, Nadina Rubio‐Pérez, Pierre Quartier, Zbigniew Żuber, Raul Barria, Daniel Clemente, Gabriel V. Cornejo, Katherine Marzan, Nancy Liu, Christine Xu, Stephen DiMartino, Angeliki Giannelou, Fei Cao‐Ghoul, Bolanle Akinlade, Lydie Baret‐Cormel   +19 more
wiley   +1 more source

Powering responsible artificial intelligence with high-quality real-world data: the S-RACE platform for scalable, multi-specialty clinical research. [PDF]

NPJ Digit Med
Traverso A, Tiano D, Corvaglia A, Dimonte A, Draetta EL, Fabiani B, Scuri P, Barbieri S, Agazzi M, Arslan M, Celada D, Chiabrando F, Cibrario L, Cielo G, Colombo A, Contini S, Liberotti M, Montagna M, Ogliari FR, Palmisano A, Pisu F, Serra D, Varani D, Vignale D, Vitali AL, Zambello A, Chiapponi C, Denti M, Esposito A, Tacchetti C.   +29 more
europepmc   +1 more source