American journal of otolaryngology
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The current study aims at assessing the effectiveness of the guidelines set up by our clinic for the protection of patients and staff which enabled us to proceed with urgent and oncological surgery after the outbreak of the Covid-19 pandemic. ⋯ Our ENT guidelines regarding personal protection equipment and multiple simultaneous diagnostic procedures have proved to be an essential instrument for the management of patients with both known and unknown COVID-19 status.
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In cases of unilateral vocal fold paralysis (UVFP), voice disorders caused by glottic insufficiency can lead to a considerable reduction in the patient's quality of life. Voice therapy (VT) is an effective treatment that must be started early after the onset of vocal fold paralysis. This study examined the effect of early VT for patients with UVFP occurring after esophagectomy. ⋯ VT may be effective for improving impaired vocal function in patients with UVFP. It is reasonable to expect that VT can be initiated 1 month after the onset of vocal fold paralysis.
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Enhanced Recovery After Surgery (ERAS) protocols are gaining traction in the field of head and neck surgery following success in other specialties. Various institutions have reported on the feasibility of implementation and early outcomes in their centers. We report our experience of setting up an ERAS program in a high-volume tertiary cancer care center, including the challenges faced and overcome. ⋯ ERAS pathways should be encouraged in head and neck surgery, given their proven feasibility in a range of institutions. Further study is needed to confirm this program's impact on outcomes.
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An important challenge of big data is using complex information networks to provide useful clinical information. Recently, machine learning, and particularly deep learning, has enabled rapid advances in clinical practice. The application of artificial intelligence (AI) and machine learning (ML) in rhinology is an increasingly relevant topic. ⋯ AI is especially useful when there is no conclusive evidence to aid decision making. ML can help doctors make clinical decisions, but it does not entirely replace doctors. However, when critically evaluating studies using this technique, rhinologists must take into account the limitations of its applications and use.