A Flattened Curve: National Trends of Women Physicians and Residents in Surgery Over the Last Decade.

INTRODUCTION: Women comprise over half of enrolled United States medical students. Yet, they continue to be under-represented in the active physician workforce, particularly among surgical specialties. This study investigates recent trends in the representation of women across surgical specialties in comparison to nonsurgical specialties within the US physician and resident workforce. METHODS: Data on active physicians and residents across 48 specialties were extracted from the Association of American Medical College's biennial (2010-2021) and annual reports (2018-2022), respectively. Descriptive statistics were performed on the proportion of physicians who were women in surgical and nonsurgical specialties. Poisson regressions were utilized with proportion of women as the outcome and specialty and year as the predictors. RESULTS: In 2021, 37.1% of all active physicians (946,790) were women, with a higher proportion of women in nonsurgical (38.4%) compared to surgical specialties (29.1%). In the resident workforce, women constituted 47.3% of the total workforce (149,296) in 2022, with a relatively comparable proportion of women in nonsurgical (47.4%) and surgical specialties (47.0%). The rate of yearly change decreased significantly (P < 0.01) for women in all surgical specialties except obstetrics and gynecology (1 of 10), with nonsurgical specialties as reference. CONCLUSIONS: Although the proportion of women in surgery has increased over the last decade, this is the first study to identify that the rate of yearly change in women in the active physician and resident workforce is decreasing significantly in almost all (9 of 10) surgical specialties relative to nonsurgical specialties. This emphasizes the urgent need for systemic interventions that address the major barriers in recruitment and retention of women surgeons.

Three-dimensional Hill of Vision of Retinal Sensitivity in X-linked Retinitis Pigmentosa Participants under Scotopic and Mesopic Conditions.

PURPOSE: To evaluate the utility of three-dimensional hill of vision (HOV) analysis in assessing retinal sensitivity in X-linked retinitis pigmentosa (XLRP) patients under scotopic cyan, scotopic red, and mesopic microperimetry conditions. METHODS: Baseline microperimetry data from 31 eyes of 16 XLRP patients enrolled in the Horizon study were analyzed. HOVs were generated using Thin Plate Spline interpolation. Grid volumes of the central 20 degrees (V20) were compared between lighting conditions using the Wilcoxon Signed-Rank test with Bonferroni correction. Central and global deficits were evaluated across age groups and genotypes. RESULTS: The mesopic group showed the highest mean V20 (1.3 dB-Sr), followed by scotopic red (0.6 dB-Sr) and scotopic cyan (0.5 dB-Sr). Significant differences were found between mesopic and both scotopic conditions (p<0.01), but not between scotopic conditions (p=0.26). Central and global deficits were more prevalent under scotopic conditions and increased with age. CONCLUSION: HOV analysis provides a comprehensive assessment of retinal sensitivity in XLRP, enabling detection of localized changes and quantification of sensitivity gradients. This volumetric approach offers advantages over traditional methods for diagnosis, monitoring progression, and evaluating treatment response.

Quantification of capillary blood flow speeds in diabetic retinopathy using variable interscan time analysis (VISTA) OCTA.

PURPOSE: To investigate retinal capillary plexus capillary flow speed and vessel density in diabetic retinopathy (DR) and normal subjects using variable interscan time analysis (VISTA) optical coherence tomography angiography (OCTA). METHODS: High speed swept source OCTA imaging using multiple interscan times was performed over a 5 mm x 5 mm field-of-view with 600 kHz A-scan rate. Second-generation VISTA OCTA was used to measure a surrogate marker for capillary blood flow speed, VISTA flow speed (VFS), in the superficial and intermediate capillary plexuses, (SCP + ICP)VFS, and deep capillary plexus, DCPVFS. Vessel density was measured using OCTA. RESULTS: Fifty-seven eyes with different DR severity and 37 normal eyes were analyzed. VISTA OCTA provided diverse blood flow speed information, including pseudo-color OCTA and mean flow speed in different regions. Both DCPVFS and DCPVFS/(SCP + ICP)VFS were higher in DR compared to normal eyes. Elevated DCPVFS correlated with decreased DCP vessel density in non-proliferative DR. CONCLUSION: VISTA OCTA can measure a quantitative biomarker for blood flow speed alterations in DR and normal eyes as well as the association with vessel density in different capillary plexuses. VISTA OCTA is promising for studies of pathogenesis and early flow alterations which may precede non-perfusion.

Conjunctival Melanoma: Features and Outcomes Based on the Fitzpatrick Skin Type in 540 Patients at a Single Ocular Oncology Center.

PURPOSE: To determine the association of Fitzpatrick skin type (FST) with conjunctival melanoma. METHODS: Retrospective case series of 540 patients with conjunctival melanoma to assess clinical features and outcomes per FST. RESULTS: The FST was Type I (n = 126, 23%), II (n = 337, 62%), III (n = 56, 10%), IV (n = 8, 2%), V (n = 12, 2%), and VI (n = 1, <1%). A comparison (FST I vs. II vs. III, IV, V, and VI) revealed Types I and II associated with older mean patient age (63.9 vs. 60.7 vs. 51.1 years, p < 0.001), greater percentage of female patients (68% vs. 44% vs. 42%, p < 0.001), lower frequency of complexion associated melanosis (1% vs. 2% vs. 13%, p < 0.001), smaller tumor thickness (2.1 vs. 2.8 vs. 3.6 mm, p = 0.01), and less eyelid involvement (13% vs. 13% vs. 28%, p = 0.02). Kaplan-Meier estimates for 5-year risk showed no difference by Types for visual acuity loss ≥3 lines, local tumor recurrence, exenteration, metastasis, or death. CONCLUSION AND RELEVANCE: Most patients with conjunctival melanoma show FST I or II, and this demonstrated no association with 5-year rate of vision loss, tumor recurrence, exenteration, metastasis, or death.

Journey through diagnosis.

This reflective poem explores the profound human impact of receiving a serious medical diagnosis. The speaker grapples with the emotional upheaval of this sudden severing from one's presumed healthy future. There are attempts to cling to denial or bargain for a different outcome. But the truth of the diagnosis persists, sending ripples of change throughout the patient's life. Dreams slip away and plans evaporate in the crucible of illness. After a struggle, the mind makes peace and courageously leans into the difficulties ahead. The poem celebrates the human capacity to accept vulnerability, find gifts within trials, and walk the remaining road with wisdom. It reflects on how a diagnosis can heighten awareness that life is fleeting and precious. The accompanying digital artwork was generated using OpenAI's DALL·E 3 and modified using Adobe Firefly. It is a stark, black canvas, which can be seen as a metaphor for the profound and contemplative journey described patients go through. It symbolizes the inner darkness and uncertainty faced when confronting life-altering diagnoses, echoing the feelings of isolation, the search for meaning, and the gradual acceptance of a new reality as one navigates through the trials of illness.

Large Language Models in Ophthalmology: Potential and Pitfalls.

Large language models (LLMs) show great promise in assisting clinicians in general, and ophthalmology in particular, through knowledge synthesis, decision support, accelerating research, enhancing education, and improving patient interactions. Specifically, LLMs can rapidly summarize the latest literature to keep clinicians up-to-date. They can also analyze patient data to highlight crucial insights and recommend appropriate tests or referrals. LLMs can automate tedious research tasks like data cleaning and literature reviews. As AI tutors, LLMs can fill knowledge gaps and assess competency in trainees. As chatbots, they can provide empathetic, personalized responses to patient inquiries and improve satisfaction. The visual capabilities of LLMs like GPT-4 allow assisting the visually impaired by describing environments. However, there are significant ethical, technical, and legal challenges around the use of LLMs that should be addressed regarding privacy, fairness, robustness, attribution, and regulation. Ongoing oversight and refinement of models is critical to realize benefits while minimizing risks and upholding responsible AI principles. If carefully implemented, LLMs hold immense potential to push the boundaries of care, discovery, and quality of life for ophthalmology patients.