(Aphthous ulcer)
4,986 results
  • [Idiopathic and secondary recurrent aphthous stomatitis: A narrative review]. [Review]
    Rev Med Interne. 2026 Aug 06. [Online ahead of print]Le Joncour A, Mirouse A, … Rochefort JRM
  • Recurrent aphthous stomatitis (RAS) is the most common cause of painful ulcers of the oral mucosa, affecting approximately 10 to 20% of the population. It is characterized by recurrent, well-demarcated superficial ulcers located on non-keratinized mucosa, which heal spontaneously within one to two weeks. Three clinical subtypes are classically described: minor aphthae (the most common form), majo…
  • Novel electrospun drug delivery systems for periodontal and oral mucosal therapy: a systematic review. [Review]
    J Dent Anesth Pain Med. 2026 Aug; 26(4):305-316.Yadolahi B, Taghian M, Sadri LJD
  • Advanced polymeric drug delivery systems, particularly electrospun nanofibers and mucoadhesive patches, are promising platforms for the local treatment of periodontal and oral mucosal diseases. However, evidence regarding fabrication reproducibility, mucosal interactions, therapeutic efficacy, and stability has not been systematically synthesized. This systematic review evaluated novel polymeric …
  • Quantitative sensory testing in oral disorders: an update on methods and clinical implications. [Review]
    J Dent Anesth Pain Med. 2026 Aug; 26(4):283-303.Karm MH, Ryoo SH, … Kim HJJD
  • Oral mucosal diseases, such as burning mouth syndrome, oral lichen planus, oral mucositis, and recurrent aphthous stomatitis, frequently present with altered sensory functions, including pain, dysesthesia, and changes in thermal and mechanical sensitivity. Accurate assessment of these sensory changes is essential for understanding disease mechanisms, evaluating treatment efficacy, and improving p…
  • COLLECT: A Counterfactual Oral Lesion Library for Trustworthy AI Evaluation. [Journal Article]
    J Dent Res. 2026 Jul 24; :220345261466240. [Online ahead of print]Tafti KT, D'Souza Z, … Madathil SJD
  • Intraoral mucosal lesions are difficult to diagnose because they vary widely in appearance and cause. Deep-learning models perform well for oral lesion classification, but limited interpretability restricts clinical use. Counterfactual explanations, which modify image features to test model sensitivity, offer a practical way to improve transparency, yet no counterfactual dataset exists for intrao…