Results 121 to 130 of about 46,184 (253)

Artificial Intelligence in Voice Disorders: Current Landscape, Emerging Applications and Future Directions

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To provide a comprehensive review of the current landscape of artificial intelligence (AI) applications in voice disorder, with emphasis on emerging applications, limitations, and future directions for clinical integration. Methods Literature review.
Rachel B. Kutler, Anaïs Rameau
wiley   +1 more source

Artificial Intelligence in Pediatric Dentistry: A Systematic Review and Meta-Analysis. [PDF]

Children (Basel)
Karamüftüoğlu N, Üçpunar BY, Birben İ, Altundağ AE, Mullaoğlu KÖ, Bal C.   +5 more
europepmc   +1 more source

Enhanced Early Detection of Allergic Rhinitis: A Prospective Study on a Symptom‐Based Predictive Model

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Introduction Allergic rhinitis (AR) and non‐allergic rhinitis (NAR) share overlapping symptoms but differ in pathophysiology and treatment. Current AR diagnosis relies on skin prick testing (SPT) and serum IgE quantification, both of which are complex.
Ke‐Zhang Zhu, Chao He, Si‐Zhe Zhu, Zheng Liu, Ming Zeng   +4 more
wiley   +1 more source

A Simplified Technique for the Fabrication of Esthetic and Functional Space Maintainers in Pediatric Dentistry. [PDF]

J Esthet Restor Dent
Caldas LD, Ramos AVJ, Barreto LSDC, Vanderlei KMHO.   +3 more
europepmc   +1 more source

Perilymph Gusher in Cochlear Implantation Surgery: An Algorithm for Management

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective Perilymph leak is considered a major complication of cochlear implantation (CI) surgery and can lead to surgical difficulties and postoperative morbidities. This study is aimed to formulate an algorithm for better management of perilymph leak in cases of CI. Methods This is a retrospective study conducted in our tertiary institute on
Ahmed Abdelmoneim Teaima, Lobna El Fiky, Badr Eldin Mostafa, Mina Fayez Saleeb, Ossama Mustafa Mady   +4 more
wiley   +1 more source

International Guidelines on Conscious Sedation in Pediatric Dentistry: A Comparative Analysis and Evidence Mapping Study. [PDF]

J Clin Med
Marques C, Dinis M, Botelho J, Machado V, Bandeira Lopes L.   +4 more
europepmc   +1 more source

Insights from a six‐year hair drug analysis compendium in drug‐facilitated crimes involving vulnerable population cases

Journal of Forensic Sciences, EarlyView.
Abstract Hair analysis is a well‐established matrix in forensic toxicology, offering a valuable alternative or complement to traditional matrices in diverse contexts, including drug‐facilitated crimes (DFC), elder abuse, and accidental exposure in children.
Amandine Fort, Coralie Boudin, Hélène Eysseric‐Guerin, Virginie Scolan, François Paysant, Cloé Scherpereel, Mélissa Revet, Françoise Stanke‐Labesque, Théo Willeman   +8 more
wiley   +1 more source

Pain Management Strategies in Pediatric Dentistry: A Systematic Review of Clinical Approaches and Public Health Implications. [PDF]

Cureus
P S, Patel S, Palose PS, Akkanapally S, Shamim MO, Qureshi K.   +5 more
europepmc   +1 more source

Text mining for case report articles on “peritoneal dialysis” from PubMed database

Therapeutic Apheresis and Dialysis, Volume 29, Issue 3, Page 459-470, June 2025.
Abstract Introduction The number of published medical articles on peritoneal dialysis (PD) has been increasing, and efficiently selecting information from numerous articles can be difficult. In this study, we examined whether artificial intelligence (AI) text mining can be a good support for efficiently collecting PD information.
Kazuhiko Fukushima, Kenji Tsuji, Hiroyuki Nakanoh, Naruhiko Uchida, Soichiro Haraguchi, Shinji Kitamura, Jun Wada   +6 more
wiley   +1 more source

How Well Are Dental Students Equipped to Handle Traumatic Dental Injuries in Children?

Australian Endodontic Journal, EarlyView.
ABSTRACT To evaluate dental students' knowledge and confidence in managing dental trauma (TDI). An observational questionnaire‐based study involving fourth‐year BDSc (Hons) students from 2022 and 2023 at UQ, following their Traumatic Dental Injury module.
Sobia Zafar, Luan Lin Jovita Cheong, Vonn Ler, Anastasia Min Teh, Paul Abbott   +4 more
wiley   +1 more source