Results 151 to 160 of about 426,573 (217)
The role of AI in the diagnosis of speech and language disorders: A systematic mapping study. [PDF]
Tbaishat D, Al-Shafei R, Odeh M.
europepmc +1 more source
People with systemic autoimmune and rheumatic diseases (SARDs) are at higher risk than the general population of experiencing adverse pregnancy and perinatal outcomes such as preeclampsia, intrauterine growth restriction, and maternal and/or fetal death.
Mehret Birru Talabi, Sonya Borrero
wiley +1 more source
Correlation between language disorders and maternal medical conditions in children with fetal distress: A cross-sectional neurolinguistic study in Bangladesh. [PDF]
Ferdous F +6 more
europepmc +1 more source
Objective This study aims to investigate lifestyle‐related factors in patients with psoriatic arthritis (PsA) and their association with disease activity measurements. Methods This multicenter cohort included 938 patients who were newly diagnosed with PsA between 2013 and 2023.
Batoul Hojeij +11 more
wiley +1 more source
Investigating Sequence Variations in CNTNAP2 and SETBP1 Genes in Language Disorders. [PDF]
Turan B +5 more
europepmc +1 more source
The Lupus Damage Index Revision Program: Results From the Item Generation and Reduction Phases
Objective A data‐driven and expert/patient consensus‐based project to develop a revised Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology (ACR) Damage Index (SDI) is under way supported by SLICC, ACR, and the Lupus Foundation of America. Our objective is to report the item generation and reduction phase results
Burak Kundakci +25 more
wiley +1 more source
Acquired language disorders beyond aphasia: foreign accent syndrome as a neurological, speech, and psychiatric disorder. [PDF]
Longman RS, Schwartz FD.
europepmc +1 more source
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni +4 more
wiley +1 more source
Using explainable machine learning and eye-tracking for diagnosing autism spectrum and developmental language disorders in social attention tasks. [PDF]
Antolí A +7 more
europepmc +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source

