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ImportanceIndia’s goal of measles elimination remains unmet, as evidenced by significant recent outbreaks.ObjectiveTo identify seroprevalence rates among vaccinated children and to examine demographic factors that influence antibody responses.Design, Setting, and ParticipantsThis cross-sectional study included a highly vaccinated cohort of Indian children from the states of Kerala and Tamil Nadu between 2018 and 2023. Eligible children had received at least 2 doses of measles-containing vaccines; their mothers were recruited from various community settings, including local nursery and secondary schools, residential associations, and hospitals.ExposureMeasles-specific antibodies were quantified in serum samples.Main Outcomes and MeasuresMeasles-specific immunoglobulin G (IgG) and neutralizing antibodies were quantified in both children and mothers. Measles-specific IgM was also measured in children.ResultsThe total cohort comprised 684 children (median age, 9 years [range, 4-18 years]; 348 male [50.1%]) and 544 mothers. All children received at least 2 doses of measles-containing vaccines; 435 children (63.6%) received a third dose, and 7 (1.0%) received a fourth dose. Among the children, 621 (90.8%) had positive measles-specific IgG, and 623 (91.5%) had protective neutralizing antibodies titers, with a strong correlation between measles-specific IgG and neutralizing antibodies (r = 0.73; P < .001). Female children exhibited significantly higher titers of both measles-specific IgG and neutralizing antibodies compared with male children. While IgG and neutralizing antibody titers remained stable over time and were not associated with the number of vaccine doses in children, neutralizing antibody titers increased with age in mothers, likely due to repeated viral exposure. Notably, in 20 families with at least 2 children, differential measles-specific IgM profiles were observed between siblings despite high IgG and neutralizing antibody titers, suggesting ongoing breakthrough infections.Conclusions and RelevanceIn this cross-sectional study, substantial measles immunity gaps were found despite high vaccine coverage with evidence of breakthrough infections, posing significant challenges to India’s measles elimination efforts. These results underscore the urgent need to strengthen India’s immunization program and investigate the mechanisms driving suboptimal responses to measles vaccination; without addressing these immune response deficiencies, achieving measles elimination through increased vaccine coverage alone may remain unattainable in India.

BACKGROUND: The purpose of this study was to assess the feasibility and prognostic value of cardiac output (CO) reserve assessment using exercise echocardiography in Fontan patients. We hypothesized that adults with Fontan palliation had lower CO reserve compared with controls, and impaired CO reserve was associated with greater congestion (NT-proBNP [N-terminal pro-B-type natriuretic peptide]) and cardiovascular events (death/transplant/heart failure hospitalization) in Fontan patients. METHODS: Thirty-seven Fontan patients and 61 controls underwent exercise echocardiography using a supine cycle ergometer. Doppler-derived CO and oxygen consumption (VO 2 ) were assessed at rest and every stage of exercise. CO reserve was calculated as ∆CO/Watt (∆CO/W) and ∆CO/∆VO 2 . RESULTS: Assessment of CO reserve was feasible in 95% of the Fontan group with modest reproducibility. Although both groups had similar CO at rest, the Fontan group had lower CO reserve with exercise as evidenced by lower ∆CO/W ratio (46±17 versus 57±19 mL/W; P <0.001) and lower ∆CO/∆VO 2 ratio (4.48±1.02 versus 5.37±2.18 mL/mL; P =0.03). There was a correlation between ∆CO/W ratio and log NT-proBNP (r=0.65; P <0.001), and between ∆CO/∆VO 2 ratio and log NT-proBNP (r=0.53; P =0.009). Impaired CO reserve was associated with congestion and cardiovascular events and provided improved prognostication (higher area under the curve and C statistics) above conventional echocardiographic indices and treadmill peak VO 2 . CONCLUSIONS: Patients with Fontan palliation had lower CO reserve, and impaired CO reserve was associated with congestion and cardiovascular events. Further studies are required to determine whether cardiac interventions can improve CO reserve and whether changes in CO reserve can be used as a surrogate end point for therapeutic response.

This review explores how multimodal foundation models (MFMs) are transforming biliary tract cancer (BTC) research. BTCs are aggressive malignancies with poor prognosis, presenting unique challenges due to difficult diagnostic methods, molecular complexity, and rarity. Importantly, intrahepatic cholangiocarcinoma (iCCA), perihilar cholangiocarcinoma (pCCA), and distal bile duct cholangiocarcinoma (dCCA) represent fundamentally distinct clinical entities, with iCCA presenting as mass-forming lesions amenable to biopsy and targeted therapies, while pCCA manifests as infiltrative bile duct lesions with challenging diagnosis and primarily palliative management approaches. MFMs offer potential to advance research by integrating radiological images, histopathology, multi-omics profiles, and clinical data into unified computational frameworks, with applications tailored to these distinct BTC subtypes. Key applications include enhanced biomarker discovery that identifies previously unrecognizable cross-modal patterns, potential for improving currently limited diagnostic accuracy—though validation in BTC-specific cohorts remains essential—accelerated drug repurposing, and advanced patient stratification for personalized treatment. Despite promising results, challenges such as data scarcity, high computational demands, and clinical workflow integration remain to be addressed. Future research should focus on standardized data protocols, architectural innovations, and prospective validation studies. The integration of artificial intelligence (AI)-based methodologies offers new solutions for these historically challenging malignancies. However, current evidence for BTC-specific applications remains largely theoretical, with most studies limited to proof-of-concept designs or related cancer types. Comprehensive clinical validation studies and prospective trials demonstrating patient benefit are essential prerequisites for clinical implementation. The timeline for evidence-based clinical adoption likely extends 7–10 years, contingent on successful completion of validation studies addressing current evidence gaps.

Background: Acute disseminated encephalomyelitis (ADEM) is a demyelinating syndrome observed in myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) but there are limited data on application of this definition to its cerebral attacks or in adults with this disease. Methods: We analyzed patients from the Mayo Clinic MOGAD cohort ( n = 263) with cerebral attacks. We assessed whether children (<18 years-old) and adults (⩾18 years-old) fulfilled the 2013 ADEM definition. Results: We identified 89 patients (children, 34; adults, 55) and 55/89 (62%) were of female sex. Acute magnetic resonance imaging (MRI) abnormalities included: poorly demarcated T2 lesions (white matter, 85 (96%); deep gray matter, 41 (46%); T1-hypointense lesions (42 (47%)). Forty-two patients did not fulfill the ADEM definition due to: monofocal syndrome, 9; or no encephalopathy, 33. The remaining 47 patients (53%: children, 27/34 (79%); adults, 20/55 (36%)) fulfilled the ADEM definition, and 14 had preceding attacks, and 34 had subsequent attacks relative to ADEM episode. The features in children and adults with ADEM were broadly comparable. Conclusion: Applying the ADEM definition to MOGAD cerebral attacks highlighted that an update of the 2013 ADEM definition would be beneficial and could explicitly state its application to both adults and children and allow it to be applied to attacks at any time during the disease course.

Visceral disseminated varicella-zoster virus infection (VD-VZV) involves the hematogenous spread of VZV from the skin to the internal organs. Though rare, it is potentially life-threatening, predominantly affecting immunocompromised individuals. Diagnosis is often delayed due to nonspecific symptoms mimicking other viral illnesses. While the vesicular rash is a hallmark sign, it is absent in approximately 5% of cases. Visceral involvement may precede cutaneous lesions, complicate early recognition, and increase the risk of severe complications. This scoping review screened 594 articles of which 153 met the inclusion criteria, yielding 156 individual cases. Patients were predominantly male (53.8%), with a mean age of 42.3 years. The overall mortality rate was 25.0%. Multiple organs were involved in 46.1% of cases. The most frequently affected were the lungs (56%), liver (44%), heart (16%), kidneys (11%), pancreas (11%), stomach (10%), and esophagus (6%). Antivirals were administered in 89.1% of cases, while corticosteroids were used in 22.4%, with no significant impact on outcomes. Early diagnosis, achieved in 65.4% of patients, was significantly associated with survival (p = 0.043). Mortality was significantly associated with underlying comorbidities (p = 0.004), especially autoimmune diseases requiring immunosuppression (p = 0.048). Septic shock or multi-organ dysfunction (MODS), hepatitis, acute kidney injury, and acute liver failure were linked to higher mortality in univariate analysis. Multivariate analysis identified comorbidities (p < 0.001), septic shock/MODS (p = 0.008), and acute liver failure (p = 0.039) as independent predictors of mortality. Patients with septic shock/MODS had over twice the risk of death (OR = 2.24; p = 0.008). This review underscores the diagnostic challenges and high mortality of VD-VZV. Early recognition and timely administration of antiviral treatment appear critical for survival. Greater clinical awareness and further research are needed to guide management.

The integration of artificial intelligence (AI) in medical imaging has revolutionized diagnostic capabilities, yet the black-box nature of deep learning models poses significant challenges for clinical adoption. Current explainable AI (XAI) approaches, including SHAP, LIME, and Grad-CAM, predominantly focus on post hoc explanations that may inadvertently undermine clinical decision-making by providing misleading confidence in AI outputs. This paper presents a systematic review and meta-analysis of 67 studies (covering 23 radiology, 19 pathology, and 25 ophthalmology applications) evaluating XAI fidelity, stability, and performance trade-offs across medical imaging modalities. Our meta-analysis of 847 initially identified studies reveals that LIME achieves superior fidelity (0.81, 95% CI: 0.78–0.84) compared to SHAP (0.38, 95% CI: 0.35–0.41) and Grad-CAM (0.54, 95% CI: 0.51–0.57) across all modalities. Post hoc explanations demonstrated poor stability under noise perturbation, with SHAP showing 53% degradation in ophthalmology applications (ρ = 0.42 at 10% noise) compared to 11% in radiology (ρ = 0.89). We demonstrate a consistent 5–7% AUC performance penalty for interpretable models but identify modality-specific stability patterns suggesting that tailored XAI approaches are necessary. Based on these empirical findings, we propose a comprehensive three-pillar accountability framework that prioritizes transparency in model development, interpretability in architecture design, and a cautious deployment of post hoc explanations with explicit uncertainty quantification. This approach offers a pathway toward genuinely accountable AI systems that enhance rather than compromise clinical decision-making quality and patient safety.