Results 171 to 180 of about 363,783 (284)

Role of artificial intelligence in the detection and characterization of gastrointestinal premalignant and early malignant lesions. [PDF]

World J Gastroenterol
El Asmar N, Baydoun M, Mrad J, Barada K.
europepmc   +1 more source

Computer-assisted topological analysis of renal allograft inflammation adds to risk evaluation at diagnosis of humoral rejection.

Kidney International, 2017
A. Sicard, V. Meas-Yedid, M. Rabeyrin, A. Koenig, S. Ducreux, F. Dijoud, V. Hervieu, L. Badet, E. Morelon, Jean-Christophe Olivo-Marin, V. Dubois, O. Thaunat   +11 more
semanticscholar   +1 more source

Effectiveness and safety of baricitinib for juvenile idiopathic arthritis associated uveitis or chronic anterior antinuclear antibody positive uveitis

Arthritis Care &Research, Accepted Article.
Objectives Evaluate the efficacy and safety of baricitinib in paediatric patients with active JIA‐U or chronic anterior ANA‐positive uveitis, who had an inadequate response to MTX or bDMARDs. Methods JUVE‐BRIGHT was an open‐label, active‐controlled, Phase‐3 multicentre trial which utilized a novel design, including 1:1 randomization to an active ...
Athimalaipet V. Ramanan, Catherine M. Guly, Gabriele Simonini, Stuart Keller, Priyanka Sen, Thorsten Holzkaemper, Joana Araújo, Pierre Quartier   +7 more
wiley   +1 more source

Integrating AI into Dentistry: Technical Pathways and Clinical Applications in Oral Diseases-A Comprehensive Overview. [PDF]

Int Dent J
Yuan Y, Zhou H, Wang B, Li C, Gong B, Li Z.   +5 more
europepmc   +1 more source

Clinical Outcomes of Patients Within the Rheumatoid Arthritis Care Pathway Cohort at a Tertiary Care Integrated Delivery Network: A Comparison to Usual Care

Arthritis Care &Research, EarlyView.
Objective We aimed to compare clinical outcomes between patients in the Allegheny Health Network rheumatoid arthritis (RA) care pathway and patients receiving usual care. Methods The care pathway initiative implements guideline‐based best practice alongside multidisciplinary team‐based care.
Tarun Sharma, Tyson S. Barrett, Teigan Dwyer, Nancy Campbell, Jessica Heintzinger, Ellen Kraemer, Adam Dore, Susan Manzi   +7 more
wiley   +1 more source

Application of artificial intelligence in eosinophilic esophagitis. [PDF]

Front Immunol
Xu X, Chen H, Chen Y, Fan L.
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

Computer-Assisted Intraoperative Navigation in Pediatric Head and Neck Surgical Oncology: A Single-Center Case Series and Scoping Review of the Literature. [PDF]

Cancers (Basel)
Whittles J, Bharathan A, Hall S, Baumgartner J, Lopez J.   +4 more
europepmc   +1 more source

Diffusion‐Weighted Imaging for the Evaluation of the Sacroiliac Joint in Pediatric Patients

Arthritis Care &Research, EarlyView.
Objective Maturational signal in the sacroiliac joint (SIJ) of skeletally immature youth is often misinterpreted as inflammation. Diagnostic tools that improve specificity are greatly needed. Apparent diffusion coefficient (ADC) values from diffusion‐weighted imaging (DWI), when used with standard imaging, may enhance diagnostic accuracy.
Michael L. Francavilla, Timothy G. Brandon, Dmitry Khrichenko, Rui Xiao, Nancy A. Chauvin, Asef Khwaja, Pamela F. Weiss   +6 more
wiley   +1 more source

Clinically Focused Computer-Aided Diagnosis for Breast Cancer Using SE and CBAM with Multi-Head Attention. [PDF]

Tomography
Ogut Z, Karaduman M, Yildirim M.
europepmc   +1 more source