DermTok: Who's Talking Sun? A Cross-Sectional Analysis of Sun Protection Content on TikTok.

Despite the widespread interest in dermatology on TikTok, studies have shown most related videos are not produced by board-certified dermatologists (BCDs) or other health professionals. To see if this trend extended to sun protection, we examined TikTok videos associated with sun safety to determine the proportion produced by BCDs. From August 25, 2023, to August 27, 2023, investigators input the following hashtags into the TikTok search bar: #sunscreen, #sunprotection, #spf, #skincancer, and #skinprotection. The top 100 videos in each category were analyzed and categorized based on the content creator. Additionally, we assessed whether videos explicitly addressed skin of color (SOC). Of the analyzed videos, only 16.6% originated from BCDs. Beauty bloggers/bloggers were the most prevalent creators in this category (38.7%), followed by patients/consumers (33.7%). Only 2.8% of the videos pertained to SOC patients. This highlights a gap in the type of educational content generated by dermatologists on TikTok, with sun safety being a potential subject to target within social media. Additionally, the small representation of videos addressing SOC patients underscores the need for more diverse and inclusive educational skincare content on TikTok.J Drugs Dermatol. 2024;23(7):571-574. doi:10.36849/JDD.8179.

Can dermatologists reach their full potential in teledermatology? A validation study of diagnostic performance of skin diseases in live video conferencing teledermatology.

The diagnostic accuracy rate of live videoconferencing (LVC) teledermatology, by board-certified dermatologists compared to non-dermatologists has not yet been fully investigated. The aim of this study was to compare the diagnostic accuracy of board-certified dermatologists, dermatology specialty trainees, and board-certified internists in LVC teledermatology. We examined the diagnostic accuracy of clinicians from different specialties in diagnosing the same group of patients. The clinicians were isolated from each other during the diagnosis process. We enrolled 18 volunteer physicians (six board-certified dermatologists, six dermatology specialty trainees, and six board-certified internists) who reviewed the skin conditions of 18 patients via LVC teledermatology. The diagnostic accuracy of the participating physicians was evaluated using the final diagnosis as the reference standard. The diagnostic accuracy averages were compared according to the physicians' specialties and disease categories. The mean ± standard deviation diagnostic accuracy of the most detailed level diagnosis was 83.3% ± 3.5% (range, 77.8%-89.0%) for board-certified dermatologists, 53.7 ± 20.7% (range 27.8%-77.8%) for dermatology specialty trainees, and 27.8 ± 5.0% (range, 22.2%-33.3%) for board-certified internists. Board-certified dermatologists showed significantly higher diagnostic accuracy, not only against board-certified internists (p < 0.0001) but also against dermatology specialty trainees (p < 0.05). Disease categories with high accuracy rates (≥80%) only by board-certified dermatologists were inflammatory papulosquamous dermatoses (87.5%), compared to 58.3%, and 20.8% for dermatology specialty trainees and board-certified internists respectively). For inflammatory erythemas and other reactive inflammatory dermatoses the accuracy rates for board-certified dermatologists, dermatology specialty trainees, and board-certified internists were 83.3%, 33.3%, 8.3% respectively; for melanoma in situ neoplasms, 83.3%, 50.0%, 66.7% respectively), and for genetic disorders of keratinization 83.3%, 33.3%, and 0% respectively). Our findings showed that board-certified dermatologists may have high diagnostic accuracy with practical safety and effectiveness in LVC teledermatology.

The performance of an artificial intelligence-based computer vision mobile application for the image diagnosis of genital dermatoses: a prospective cross-sectional study.

BACKGROUND: There is a huge demand-supply gap between the incidence of genital dermatoses (including sexually transmitted infections and non-venereal genital dermatoses) and physicians trained to manage them. OBJECTIVES: To find out the performance of an artificial intelligence (AI)-based mobile application in the image diagnosis of genital dermatoses, and to compare it with primary care physicians (PCPs) and dermatologists. METHODS: Photos of the genital diseases of consecutive patients presenting to the STD and genital diseases clinic were included. The gold standard diagnosis was established by the consensus of two certified dermatologists after examination and one positive investigation. Image diagnoses by the DermaAId application, two PCPs, and two dermatologists were recorded and compared to the gold standard diagnosis and to each other. RESULTS: A total of 257 genital disease images, including 95 (37.0%) anogenital warts, 60 (22.2%) lichen sclerosus, 20 (7.8%) anogenital herpes, 15 (5.8%) tinea cruris, 14 (5.4%) molluscum contagiosum, 9 (3.5%) candidiasis, 8 (3.1%) scabies, 6 (2.3%) squamous cell carcinomas, were included. The top-1 correct diagnosis rate of the application was 68.9%, compared to the 50.4% of the PCPs and 73.2% of the dermatologists. The application significantly outperformed PCPs with regard to the correlation with the gold standard diagnosis (P < 0.0001), and matched that of the dermatologists. CONCLUSIONS: AI-based image diagnosis platforms can potentially be a low-cost rapid decision support tool for PCPs, integrated with syndromic management programs and direct-to-consumer services, and address healthcare inequities in managing genital dermatoses.

Retrospective Analysis of US Litigations Involving Dermatologists From 2011 to 2022.

BACKGROUND: Physician malpractice lawsuits are climbing, and the reasons underlying litigation against dermatologists are unclear. OBJECTIVE: To determine the reasons patients pursue litigation against dermatologists or dermatology practices. MATERIALS AND METHODS: A retrospective analysis of all state and federal cases between 2011 and 2022 was performed after a query using "Dermatology" and "dermatologist" as search terms on 2 national legal data repositories. RESULTS: The authors identified a total of 48 (37 state and 11 federal) lawsuits in which a practicing dermatologist or dermatology group practice was the defendant. The most common reason for litigation was unexpected harm (26 cases, 54.2%), followed by diagnostic error (e.g. incorrect or delayed diagnoses) (16 cases, 33.3%). Six cases resulted from the dermatologist failing to communicate important information, such as medication side effects or obtaining informed consent. Male dermatologists were sued at a rate 3.1 times higher than female dermatologists. CONCLUSION: Although lawsuits from patients against dermatologists largely involve injury from elective procedures, clinicians should practice caution regarding missed diagnoses and ensure critical information is shared with patients to safeguard against easily avoidable litigation.

The effect of a dermoscopy training programme on diagnostic accuracy and management decisions regarding pigmented skin lesions: a comparison between dermal therapists and general practitioners.

BACKGROUND: Dermoscopy is known to increase the diagnostic accuracy of pigmented skin lesions (PSLs) when used by trained professionals. The effect of dermoscopy training on the diagnostic ability of dermal therapists (DTs) has not been studied so far. OBJECTIVES: This study aimed to investigate whether DTs, in comparison with general practitioners (GPs), benefited from a training programme including dermoscopy, in both their ability to differentiate between different forms of PSL and to assign the correct therapeutic strategy. METHODS: In total, 24 DTs and 96 GPs attended a training programme on PSLs. Diagnostic skills as well as therapeutic strategy were assessed, prior to the training (pretest) and after the training (post-test) using clinical images alone, as well as after the addition of dermatoscopic images (integrated post-test). Bayesian hypothesis testing was used to determine statistical significance of differences between pretest, post-test and integrated post-test scores. RESULTS: Both the DTs and the GPs demonstrated benefit from the training: at the integrated post-test, the median proportion of correctly diagnosed PSLs was 73% (range 30-90) for GPs and 63% (range 27-80) for DTs. A statistically significant difference between pretest results and integrated test results was seen, with a Bayes factor > 100. At 12 percentage points higher, the GPs outperformed DTs in the accuracy of detecting PSLs. CONCLUSIONS: The study shows that a training programme focusing on PSLs while including dermoscopy positively impacts detection of PSLs by DTs and GPs. This training programme could form an integral part of the training of DTs in screening procedures, although additional research is needed.

AI outperformed every dermatologist in dermoscopic melanoma diagnosis, using an optimized deep-CNN architecture with custom mini-batch logic and loss function.

Melanoma, one of the most dangerous types of skin cancer, results in a very high mortality rate. Early detection and resection are two key points for a successful cure. Recent researches have used artificial intelligence to classify melanoma and nevus and to compare the assessment of these algorithms to that of dermatologists. However, training neural networks on an imbalanced dataset leads to imbalanced performance, the specificity is very high but the sensitivity is very low. This study proposes a method for improving melanoma prediction on an imbalanced dataset by reconstructed appropriate CNN architecture and optimized algorithms. The contributions involve three key features as custom loss function, custom mini-batch logic, and reformed fully connected layers. In the experiment, the training dataset is kept up to date including 17,302 images of melanoma and nevus which is the largest dataset by far. The model performance is compared to that of 157 dermatologists from 12 university hospitals in Germany based on the same dataset. The experimental results prove that our proposed approach outperforms all 157 dermatologists and achieves higher performance than the state-of-the-art approach with area under the curve of 94.4%, sensitivity of 85.0%, and specificity of 95.0%. Moreover, using the best threshold shows the most balanced measure compare to other researches, and is promisingly application to medical diagnosis, with sensitivity of 90.0% and specificity of 93.8%. To foster further research and allow for replicability, we made the source code and data splits of all our experiments publicly available.

Characterization of Biopsies by Dermatologists and Nonphysician Providers in the Medicare Population: A Rapidly Changing Landscape.

BACKGROUND: Previous studies show that nonphysician providers may require a higher number of biopsies to identify skin malignancies than dermatologists. Therefore, understanding the trends behind the types of providers performing biopsies may help analyze their impact on this vulnerable population. OBJECTIVE: This retrospective study analyzes changes in nationwide, regional, and state-level data on the number and proportion of biopsies performed by dermatologists compared with nonphysician providers. MATERIALS AND METHODS: Biopsy cases were isolated in the Medicare database from 2012 to 2018 using the HCPCS codes 11,100 and 11,101. Cases were limited to biopsies performed by a dermatologist, nurse practitioner (NP), or physician assistant (PA). RESULTS: From 2012 to 2018, national biopsy rates per 100,000 Medicare beneficiaries for dermatologists decreased by 6%, whereas those for NPs and PAs increased by 97% and 82%, respectively. Each state showed variation in both the proportion of biopsies by provider type and the net change in biopsies rates over time. All states saw increases in the number of biopsies per 100,000 Medicare beneficiaries by nonphysician providers. CONCLUSION: As the number of Medicare beneficiaries continues to grow, nonphysician providers are performing an increasing proportion of biopsies, with specific states and regions being affected more than others.

Expert Consensus on Nail Procedures and Selection of CPT Codes.

BACKGROUND: Dermatologists specialize in treating conditions of the skin, hair, and nails; however, it is our experience that the field of nail diseases is the least discussed facet of dermatology. Even less acknowledged is the complexity of nail procedures and how best to accurately code for these procedures. OBJECTIVE: To convene a panel of experts in nail disease to reach consensus on the most accurate and appropriate Current Procedural Terminology (CPT) codes associated with the most commonly performed nail procedures. METHODS: A questionnaire including 9 of the most commonly performed nail procedures and potential CPT codes was sent to experts in the treatment of nail disease, defined as those clinicians running a nail subspecialty clinic and performing nail procedures with regularity. A conference call was convened to discuss survey results. RESULTS: Unanimous consensus was reached on the appropriate CPT codes associated with all discussed procedures. LIMITATIONS: Although this article details the most commonly performed nail procedures, many were excluded and billing for these procedures continues to be largely subjective. This article is meant to serve as a guide for clinicians but should not be impervious to interpretation in specific clinical situations. CONCLUSION: Billing of nail procedures remains a practice gap within our field. The authors hope that the expert consensus on the most appropriate CPT codes associated with commonly performed nail procedures will aid clinicians as they diagnose and treat disorders of the nail unit and encourage accurate and complete billing practices.

Increasing a Dermatologist's Footprint on Instagram: An Analysis of Top Influencers Performing Nonsurgical Cosmetic Procedures.

BACKGROUND: Patients use social media to find information about cosmetic procedures, yet dermatologists historically lack a social media presence. Misleading information from nonexperts is potentially harmful. OBJECTIVE: To identify the top influencers posting about nonsurgical cosmetic procedures on Instagram, verify their credentials, and analyze their content to empower dermatologists to effectively join the online conversation, combat harmful misinformation, and preserve the expertise and influence of board-certified dermatologists. METHODS AND MATERIALS: Using the Klear marketing platform, Instagram influencers with more than 50,000 followers were identified. Influence rating, top posts, and other metrics were extracted using proprietary algorithms. RESULTS: Ninety nine influencers were identified. Of the top 10, 70% were board-certified plastic surgeons. Physicians not board-certified in a core cosmetic specialty had the highest influencer rating and number of followers. The most popular posts were of before and after photographs and personal posts. CONCLUSION: Dermatologists may be able to increase their Instagram footprint by posting frequently, especially of before and after and personal photographs, using hashtags, Instagram live and Instagram television, and Instagram stories. It is important for the dermatology community to find a way to ethically navigate social media to have a seat at the table and meet patients where they are.

Postoperative Pain After Mohs Surgery: Physician Perceptions and How Those Perceptions Influence Opioid Prescribing Practices.

BACKGROUND: Little is known about dermatologists' perceptions of postoperative pain and how those perceptions correlate with patient-reported pain and opioid prescribing. OBJECTIVE: To determine dermatologists' accuracy in predicting postoperative pain compared with patient-reported pain and how physicians' perceptions affect opioid prescribing practices. METHODS AND MATERIALS: A prospective observational study in which patients undergoing Mohs surgery rated pain on the Numerical Rating Scale (0-10). Using the same scale, the physician predicted how much pain the patient would experience postoperatively on the evening of surgery. All analgesic medications taken in postoperative period were recorded. RESULTS: A total of 316 patients completed the study (70% completion rate). Physician predictions were correlated with patient-reported pain (p < .001; r = 0.29) and were within 2 points of patient-reported pain in 70% of cases. When physicians overestimated patient-reported by ≥3 points, they were not more likely to prescribe opioids (p = .8094). Physicians predicted higher pain for patients who were prescribed opioids (p = .0002). CONCLUSION: Dermatologists were fairly accurate at predicting postoperative pain. Dermatologists were not more likely to prescribe opioids when pain was overpredicted.

An international 3-center training and reading study to assess basal cell carcinoma surgical margins with ex vivo fluorescence confocal microscopy.

BACKGROUND: Novel solutions are needed for expediting margin assessment to guide basal cell carcinoma (BCC) surgeries. Ex vivo fluorescence confocal microscopy (FCM) is starting to be used in freshly excised surgical specimens to examine BCC margins in real time. Training and educational process are needed for this novel technology to be implemented into clinic. OBJECTIVE: To test a training and reading process, and measure diagnostic accuracy of clinicians with varying expertise level in reading ex vivo FCM images. METHODS: An international three-center study was designed for training and reading to assess BCC surgical margins and residual subtypes. Each center included a lead dermatologic/Mohs surgeon (clinical developer of FCM) and three additional readers (dermatologist, dermatopathologist, dermatologic/Mohs surgeon), who use confocal in clinical practice. Testing was conducted on 30 samples. RESULTS: Overall, the readers achieved 90% average sensitivity, 78% average specificity in detecting residual BCC margins, showing high and consistent diagnostic reading accuracy. Those with expertise in dermatologic surgery and dermatopathology showed the strongest potential for learning to assess FCM images. LIMITATIONS: Small dataset, variability in mosaic quality between centers. CONCLUSION: Suggested process is feasible and effective. This process is proposed for wider implementation to facilitate wider adoption of FCM to potentially expedite BCC margin assessment to guide surgery in real time.

Assessing comfort level with pediatric skin specimens among dermatopathologists and pediatric pathologists: A national cross-sectional survey.

BACKGROUND: Cutaneous histopathologic diagnoses in children often differ from those in adults. Depending on practice setting, these specimens may be evaluated by dermatopathologists or pediatric pathologists. We sought to determine whether comfort level with pediatric dermatopathology is associated with prior training, pediatric dermatopathology exposure during fellowship, career duration, or specimen subtype. METHODS: We surveyed dermatopathologists and pediatric pathologists practicing in the United States. Training and practice variables were evaluated by multivariable regression for association with comfort level. RESULTS: Of the 156 respondents, 72% were dermatopathologists (response rate 11.6%) and 28% were pediatric pathologists (response rate 9.3%). Dermatopathologists reported higher comfort overall (P < .001); this was also true for inflammatory dermatoses and melanocytic neoplasms (P < .001). Thirty-four percent and 75% of dermatopathologists and pediatric pathologists, respectively, reported lower comfort with pediatric skin specimens than their usual cases. Pediatric pathologists were 28% more likely to refer these cases to colleagues. Among dermatopathologists, dermatology-trained were more comfortable than pathology-trained colleagues interpreting inflammatory dermatoses (P < .001). CONCLUSIONS: Pathologists' comfort with pediatric dermatopathology varied significantly based upon prior training, career duration, and specimen subtype. These results suggest opportunities for improving education in this domain.

CME suggestions for pediatricians, allergists, and dermatologists, directed by an online survey on urticaria knowledge.

BACKGROUND: The Mexican Guidelines for the diagnosis and treatment of urticaria have been published. Just before their launch, physicians' knowledge was explored relating to key issues of the guidelines. OBJECTIVE: The aim of this study was to investigate the opinion of medical specialists concerning urticaria management. METHODS: A SurveyMonkey® survey was sent out to board-certified physicians of three medical specialties treating urticaria. Replies were analyzed per specialty against the evidence-based recommendations. RESULTS: Sixty-five allergists (ALLERG), 24 dermatologists (DERM), and 120 pediatricians (PED) sent their replies. As for diagnosis: ALERG 42% and PED 76% believe cutaneous mastocytosis, urticarial vasculitis, and hereditary angioedema are forms of urticaria, versus DERM 29% (P < 0.005). Most of the specialties find that the clinical history and physical examination are enough to diagnose acute urticaria, except DERM 45% (P < 0.01). DERM 45% believe laboratory-tests are necessary, as opposed to <15% ALLERG-PED (P < 0.005). However, PED 69% did not know that the most frequent cause of acute urticaria in children is infections, versus ALLERG-DERM 30% (P < 0.005). Many erroneously do laboratory testing in physical urticaria and ALLERG 51%, DERM 59%, and PED 37% do extensive laboratory testing in chronic spontaneous urticaria (CSU); many more PED 59% take Immunoglobulin G (IgG) against foods (P < 0.005). More than half of non-allergists do not know about autologous serum testing nor autoimmunity (P < 0.05). As for treatment, there were a few major gaps: when CSU was controlled, >75% prescribed antihistamines pro re nata, and >85% gave first-generation antiH1 for insomnia. Finally, >40% of DERM did not know that cyclosporine A, omalizumab, or other immunosuppressants could be used in recalcitrant cases. CONCLUSION: Specialty-specific continuous medical education might enhance urticaria management.