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Abstract Objectives To develop a novel remote head impulse test (rHIT), and to provide preliminary data validating the rHIT vestibular‐ocular reflex (VOR) gains against the in‐clinic vHIT. Methods A convenience sample of 10 patients referred for vestibular assessment at our institution was recruited. In‐clinic vHIT was used to quantify lateral VOR gains. Patients subsequently underwent an rHIT protocol, whereby patients performed active, lateral head rotations while their eyes and heads were recorded using a laptop camera and video‐conferencing software. The vHIT and rHIT VOR gains were compared using paired t‐tests, and a Pearson correlation coefficient between the gains was calculated. Absolute accuracy, sensitivity, and specificity of the rHIT were additionally calculated. Results Of the 10 patients recruited, 4 were male, and the average ± standard deviation (SD) age was 61.4 ± 15.3 years. As determined by the vHIT, 2 patients had normal bilateral VOR gains, 6 with unilateral vestibular hypofunction, and 2 with bilateral vestibular hypofunction. The correlation between the rHIT and vHIT gains was 0.73 (p

Abstract Objectives Cochlear implants (CI) are reliable implantable devices that are highly cost‐effective in reducing the burden of hearing loss at an individual and societal scale. However, only 10% of CI candidates are aware of their candidacy and receive a CI. A web‐based screening tool to assess CI candidacy may make many more individuals aware of their candidacy for cochlear implantation. The objective of this study was to validate and optimize the online Cochlear Implant Candidacy Calculator against in‐clinic audiometric testing. Methods Audiogram data and word discrimination scores for 132 patients who underwent initial CI consultation at the Johns Hopkins Cochlear Implant Center in 2020 were inputted into the calculator. Candidacy results from the calculator were compared against formal clinical diagnoses provided by the audiologist at the time of visit. Receiver Operating Characteristic (ROC) and Area Under the Curve (AUC) analyses were performed to identify optimal diagnostic thresholds. Results Of the resulting 132 patients, 54 presented with single‐sided deafness (SSD), and 114 were clinically determined to be CI candidates. ROC AUC analyses identified optimal thresholds of high‐frequency PTA ≥65 dB and word discrimination score ≤ 50%. To maximize sensitivity at the expense of specificity, diagnostic thresholds of high‐frequency PTA ≥ 65 dB and word discrimination score ≤ 70% were chosen, which yielded accuracy, sensitivity, specificity, and ROC AUC of 0.90, 0.94, 0.82, and 0.88, respectively. Conclusion The novel online CI Candidacy Calculator exhibits high sensitivity and accuracy, and moderate specificity. The calculator may thereby be useful in increasing awareness of potential CI candidacy, increasing prevalence of CIs, and decreasing the burden of hearing loss.