Assessment of laryngologists' ratings on physician review websites.

Objective: To assess and characterize online ratings and comments on laryngologists and determine factors that correlate with higher ratings. Methods: All the American Laryngological Association (ALA) members were queried across several online platforms. Ratings were normalized for comparison on a five-point Likert scale. Ratings were categorized based on context and for positive/negative aspects. Results: Of the 331 ALA members, 256 (77%) were rated on at least one online platform. Across all platforms, the average overall rating was 4.39 ± 0.61 (range: 1.00-5.00). Specific positive ratings including "bedside manners," "diagnostic accuracy," "adequate time spent with patient," "appropriate follow-up," and "physician timeliness" had significant positive correlations to overall ratings, by Pearson's correlation (P < 0.001). Long wait times had significant negative correlations to overall ratings (P < 0.001). Conclusion: Online ratings and comments for laryngologists are significantly influenced by patient perceptions of bedside manner, physician competence, and time spent with the patient.

AI-powered Hyperrealism: Next Step in Cinematic Rendering?

Background Recent advancements in artificial intelligence (AI)-powered image generation present opportunities to enhance three-dimensional medical images. Diffusion, an iterative denoising process, represents the standard of many of the current tools used for this purpose. Purpose To demonstrate the current capabilities of diffusion technology by using Midjourney, version 5.2, a text-to-image generative AI tool, and present a practical guide for its use. Materials and Methods This exploratory study investigates the principles, parameters, and prompt engineering techniques for generating images focusing on Midjourney from July 27 to August 3, 2023. Step-by-step instructions show the innate capability of this technology in creating realistic medical images. Results Thirty images were selected, including eye, skin, and vascular aneurysm images. Varying prompt phrasing and weighting techniques allowed for the customization of output image characteristics. Although the details of Midjourney's model training are confidential, it is estimated that it was trained on at least hundreds of millions of images from the web. Anatomic fidelity was not always maintained because the training data set is not necessarily based on accurate medical images. There are shortcomings in this nascent technology regarding its ability to create entities such as digits of the hand or precise text. Conclusion AI image generation has the potential to improve three-dimensional medical images for certain applications through added visual detail and appeal but ongoing collaboration is needed between radiologists and AI developers due to the overreliance on art and photography in the training data, which may result in inaccurate anatomic results. Moreover, the evolving landscape of ethical discussions and copyright stipulations warrants close attention. © RSNA, 2024 Supplemental material is available for this article.

Ophthalmic Presentations and Manifestations of COVID-19: A Systematic Review of Global Observations.

As the presentations and complications of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continue to surface, the ocular manifestations have emerged as an area of interest. Research and reports conveyed the presence of several ophthalmic conditions observed in Coronavirus disease 2019 (COVID-19) patients. These publications documented a range of presentations varying from asymptomatic to serious impairments. The aim of this study is to characterize the ophthalmic pathologies and their frequencies observed due to COVID-19 in patients across different regions of the world. The goal is that the paper assists primary care physicians and healthcare providers. A systematic review of 31 articles published between January 1, 2021 to January 13, 2022, explored the presenting ocular symptoms of COVID-19, diagnosis, duration of ophthalmic complications, as well as pre-existing comorbidities. A total of 816 patients, 427 (52.3%) males and 389 (47.7%) females, from various regions of the world were investigated. Studies focusing on patients with a history of ocular pathologies, non-COVID-19 infections, complications associated with the COVID-19 vaccine, and pediatric patients were excluded from this study. Ocular complications were most commonly reported one to two weeks following the initial COVID-19 diagnosis. Analysis suggests that the "red" eye is the most prevalent presenting ophthalmologic symptom, followed by temporary vision loss. Conjunctivitis was also the most common clinical diagnosis reported, followed by neuro-retinal affection in the form of cotton wool spots (n=127 and n=9, respectively). This study summarizes ocular manifestations in COVID-19 patients and serves to help healthcare providers recognize common symptoms and their severity. This may lead to early diagnosis, treatment, and intervention of these manifestations.

Tinnitus and Subjective Hearing Loss are More Common in Migraine: A Cross-Sectional NHANES Analysis.

OBJECTIVES: To investigate whether migraine is independently associated with tinnitus and subjective hearing loss (HL) in a large national database. METHODS: The de-identified 1999 to 2004 National Health and Nutrition Examination Survey database was retrospectively queried for subjects aged 18 to 65. HL and tinnitus were subjectively reported by subjects. RESULTS: A total of 12,962 subjects (52.9% female) with a mean age of 38.1 ±â€Š14.6 years were included. This consisted of 2,657 (20.5%), 2,344 (18.1%), and 2,582 (19.9%) subjects who had migraine, subjective-HL, and tinnitus, respectively. In patients with tinnitus or subjective-HL, migraine was reported in 35.6% and 24.5%, respectively. Migraineurs were more likely to have subjective-HL (25.0% vs. 16.6%, p < 0.001) and tinnitus (34.6% vs. 16.9%, p < 0.001) compared to the nonmigraineurs. This corresponded to migraine having an odds ratio of 1.5 (95% confidence interval [CI] 1.3-1.7, p < 0.001) and 2.2 (95% CI 2.0-2.4, p < 0.001) for subjective-HL and tinnitus, respectively. After adjusting for confounders, subjective-HL (odds ratio [OR] = 1.2, 95% CI 1.1-1.4, p = 0.003), tinnitus (OR = 2.1, 95% CI 1.9-2.3, p < 0.001), and neck pain (OR = 4.0, 95% CI 3.6-4.5, p < 0.001) were more common in migraineurs. Among migraineurs, a higher proportion of those with tinnitus also had subjective-HL compared to those without tinnitus (40.0% vs. 15.3%, p < 0.001), and a higher proportion of those with subjective-HL also had tinnitus compared to those without HL (58.1% vs. 27.3%, p < 0.001). CONCLUSIONS: This study suggests an independent association between migraine with subjective-HL and tinnitus. Otologic migraine, which is the effects of migraine on the ear, may be partly responsible for the link between HL, tinnitus, neck pain, and migraine.

Adapting Personal Therapies Using a Mobile Application for Tinnitus Rehabilitation: A Preliminary Study.

OBJECTIVES: To develop a smartphone application providing sound therapy and cognitive behavioral therapy (CBT) for treating tinnitus and performing a proof-of-concept pilot study evaluating its potential efficacy. METHODS: An interactive smartphone application available on iOS and Android platforms was developed, which provided an 8-week tinnitus-specific CBT and personalized and frequency-matched sound therapy. Included patients presented to our tertiary clinic between 2017 and 2018, while those waitlisted were regarded as controls. Three surveys were administrated: Tinnitus Handicap Inventory (THI), Generalized Anxiety Disorder 7-item (GAD-7), and Perceived Stress Scale (PSS). RESULTS: A total of 30 patients enrolled in this study consisting of 20 treatment and 10 control patients and mean age was 55.4 ± 11.6 years. Treatment and control patients had similar age, sex, and pre-enrolment GAD and PSS (all P > .05). Baseline THI scores were also similar between treatment and control cohorts (50.1 ± 21.9 vs 62.0 ± 20.7; P = .15). After 8 weeks, though changes in GAD and PSS scores were similar (P > .05), the treatment group reported a significantly greater improvement in THI scores (17.7 ± 15.8 vs 5.3 ± 10.5, P = .04). CONCLUSIONS: This pilot study demonstrated potentially promising efficacy of a smartphone-based CBT and sound therapy platform for treating tinnitus and encourages future randomized controlled trials on this treatment modality.

The Time Has Come: a Paradigm Shift in Diagnostic Radiology Education via Simulation Training.

Current radiology training for medical students and residents predominantly consists of reviewing teaching files, attending lectures, reading textbooks and online sources, as well as one-on-one teaching at the workstation. In the case of medical schools, radiology training is quite passive. In addition, the variety of important and high-yield cases that trainees are exposed to may be limited in scope. We utilized an open-source dcm4chee-based Picture Archiving and Communication System (PACS) named "Weasis" in order to simulate a radiologist's practice in the real world, using anonymized report-free complete cases that could easily be uploaded live during read-outs for training purposes. MySQL was used for database management and JBOSS as application server. In addition, we integrated Weasis into a web-based reporting system through Java programming language using the MyEclipse development environment. A freeware, platform-independent, image database was established to simulate a real-world PACS. The sever was implemented on a dedicated non-workstation PC connected to the hospital secure network. As the client access is through a webpage, the cases can be viewed from any computer connected to the hospital network. The reporting system allows for evaluation purposes and providing feedback to the trainees. Brief survey results are available. Implementation of such a low-cost, versatile, and customizable tool provides a new opportunity for training programs in offering medical students with an active and more realistic radiology experience, junior radiology residents with potentially better preparation for independent call, and senior resident and fellows with the ability to fine-tune high-level specialty-level knowledge.

Prediction of vestibular schwannoma recurrence using artificial neural network.

OBJECTIVES: To compare two statistical models, namely logistic regression and artificial neural network (ANN), in prediction of vestibular schwannoma (VS) recurrence. METHODS: Seven hundred eighty-nine patients with VS diagnosis completed an online survey. Potential predictors for recurrence were derived from univariate analysis by reaching the cut off P value of .05. Those nine potential predictors were years since treatment, surgeon's specialty, resection amount, and having incomplete eye closure, dry eye, double vision, facial pain, seizure, and voice/swallowing problem as a complication following treatment. Multivariate binary logistic regression model was compared with a four-layer 9-5-10-1 feedforward backpropagation ANN for prediction of recurrence. RESULTS: The overall recurrence rate was 14.5%. Significant predictors of recurrence in the regression model were years since treatment and resection amount (both P < .001). The regression model did not show an acceptable performance (area under the curve [AUC] = 0.64; P = .27). The regression model's sensitivity and specificity were 44% and 69%, respectively and correctly classified 56% of cases. The ANN showed a superior performance compared to the regression model (AUC = 0.79; P = .001) with higher sensitivity (61%) and specificity (81%), and correctly classified 70% of cases. CONCLUSION: The constructed ANN model was superior to logistic regression in predicting patient-answered VS recurrence in an anonymous survey with higher sensitivity and specificity. Since artificial intelligence tools such as neural networks can have higher predictive abilities compared to logistic regression models, continuous investigation into their utility as complementary clinical tools in predicting certain surgical outcomes is warranted.