Publications by authors named "Mohammed Parvez"
Article Synopsis
- AI, especially Natural Language Processing (NLP) models, are often studied for detecting depression symptoms, but there's limited research on their use for identifying social anxiety symptoms.
- This study assessed GPT-4's ability to evaluate transcripts from interviews to infer social anxiety symptom strength in 51 adults from Germany, who completed a self-report questionnaire.
- The results showed a strong correlation (r = 0.79) between GPT-4's predictions and the self-report scores, achieving an accuracy score of 0.84, indicating potential for further research with larger, diverse groups.
Background: Although the conventional awake fiber-optic nasal intubation is most commonly used in anticipated difficult tracheal intubation, it has several potential difficulties.
Aims: The aim of this study is to compare another technique modified tube first (MTF) technique with the conventional one in terms of time taken, ease of glottis visualization, number of attempts needed, and complications.
Settings And Design: This was a prospective, randomized, open-label trial conducted on 60 patients with an anticipated difficult airway undergoing oromaxillofacial surgery at a tertiary care center.