Online reviews are often our first port of call when considering products and purchases online. When evaluating a potential purchase, we may have a specific query in mind, e.g. 'will this baby seat fit in the overhead compartment of a 747?' or 'will I like this album if I liked Taylor Swift's 1989?'. To answer such questions we must either wade through huge volumes of consumer reviews hoping to find one that is relevant, or otherwise pose our question directly to the community via a Q/A system.In this paper we hope to fuse these two paradigms: given a large volume of previously answered queries about products, we hope to automatically learn whether a review of a product is relevant to a given query. We formulate this as a machine learning problem using a mixture-of-experts-type framework-here each review is an 'expert' that gets to vote on the response to a particular query; simultaneously we learn a relevance function such that 'relevant' reviews are those that vote correctly. At test time this learned relevance function allows us to surface reviews that are relevant to new queries on-demand. We evaluate our system, Moqa, on a novel corpus of 1.4 million questions (and answers) and 13 million reviews. We show quantitatively that it is effective at addressing both binary and open-ended queries, and qualitatively that it surfaces reviews that human evaluators consider to be relevant.
Objectives To determine the proportion of otolaryngologists with work‐related musculoskeletal discomfort (WRMD) and to review objective ergonomic data that contribute to WRMD. Study Design Systematic review and meta‐analysis. Methods A comprehensive search of the literature identified 1121 articles for initial review of which 19 (3563 participants) met criteria for qualitative discussion and eight (2192 participants) met criteria for meta‐analysis. Random effects meta‐analyses were used to estimate the proportion of otolaryngologists reporting WRMD. Results The overall proportion (95% confidence intervals [CI]) of general otolaryngologists reporting WRMD was 0.79 (0.66, 0.88) for any symptoms; 0.54 (0.40, 0.67) for neck symptoms; 0.33 (0.20, 0.49) for shoulder symptoms; and 0.49 (0.40, 0.59) for back symptoms. Surgeons performing primarily subspecialty cases had a lower estimated overall prevalence of WRMD versus those performing general ENT cases, however the odds ratio (OR) was not statistically significant (OR [95% confidence interval] 0.53 [0.22, 1.25]). 23%–84% of otolaryngologists underwent medical treatment for WRMD. 5%–23% took time off work and 1%–6% stopped operating completely as a result of WRMD. 23%–62.5% of otolaryngologists believed WRMD negatively impacted their quality of life. Objective measures of ergonomic posture indicate moderate to severe risk of injury during the routine clinic and surgical procedures with none found to be low risk. Conclusions Ergonomic stressors among otolaryngologists contribute to a high rate of WRMD across all subspecialties with notable impact on productivity, longevity, and quality of life. Laryngoscope, 133:467–475, 2023
Objective: An at home-test for differentiating between conductive and sensorineural hearing loss remains elusive. Our goal was to validate the novel cell-phone vibration test (CPVT) against the Weber tuning fork test (WTFT) and to assess if the CPVT can be self-administered by patients reliably.Study design: Cross-sectional. Methods:The CPVT involves placement of a vibrating cellphone on the center of the forehead to determine which ear perceives the sound louder. 40 consecutive adult patients with an audiogram within 6 months and no report of recent hearing changes were recruited. Group 1 consisted of 20 patients who were examined by the provider with the CPVT and WTFT using various tuning forks (256, 512, and 1024 Hz). Group 2 consisted of an additional 20 patients who received instructions on selfadministering the CPVT. Kappa statistics were calculated to assess the strength of concordance between the CPVT, WTFT, and audiometric findings for group 1 and between patient self-administered and provider administered CPVT and WTFT for group 2.Results: Concordance between CPVT and WTFT in the entire cohort was substantial (Kappa coefficient: 0.81 for 256 Hz, 0.73 for 512 Hz, and 0.62 for 1024 Hz) with similar concordances between actual and expected results based on audiogram (Kappa coefficient: 0.52 for CPVT and 0.52 for WTFT). Concordance between patient-administered and provider-administered CPVT showed almost perfect agreement (Kappa coefficient: 0.92). Conclusions:The CPVT provides consistent results when compared to a formal WTFT and can be reliably self-administered by patients with appropriate instructions.
ObjectiveTo review studies evaluating clinically implemented image-guided cochlear implant programing (IGCIP) and to determine its effect on cochlear implant (CI) performance.Data SourcesPubMed, EMBASE, and Google Scholar were searched for English language publications from inception to August 1, 2021.Study SelectionIncluded studies prospectively compared intraindividual CI performance between an image-guided experimental map and a patient's preferred traditional map. Non-English studies, cadaveric studies, and studies where imaging did not directly inform programming were excluded.Data ExtractionSeven studies were identified for review, and five reported comparable components of audiological testing and follow-up times appropriate for meta-analysis. Demographic, speech, spectral modulation, pitch accuracy, and quality-of-life survey data were collected. Aggregate data were used when individual data were unavailable.Data SynthesisAudiological test outcomes were evaluated as standardized mean change (95% confidence interval) using random-effects meta-analysis with raw score standardization. Improvements in speech and quality-of-life measures using the IGCIP map demonstrated nominal effect sizes: consonant–nucleus–consonant words, 0.15 (−0.12 to 0.42); AzBio quiet, 0.09 (−0.05 to 0.22); AzBio +10 dB signal-noise ratio, 0.14 (−0.01 to 0.30); Bamford–Kowel–Bench sentence in noise, −0.11 (−0.35 to 0.12); Abbreviated Profile of Hearing Aid Benefit, −0.14 (−0.28 to 0.00); and Speech Spatial and Qualities of Hearing Scale, 0.13 (−0.02 to 0.28). Nevertheless, 79% of patients allowed to keep their IGCIP map opted for continued use after the investigational period.ConclusionIGCIP has potential to precisely guide CI programming. Nominal effect sizes for objective outcome measures fail to reflect subjective benefits fully given discordance with the percentage of patients who prefer to maintain their IGCIP map.
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