Background: Quantitative skin assessments have transitioned from subjective evaluations to objective approaches. However, clinical application has remained limited due to high costs and reliance on specialized equipment. High-intensity focused ultrasound and radiofrequency are the two most widely used noninvasive modalities for skin tightening and wrinkle improvement. This study investigated investigate the efficacy of artificial intelligence (AI)-based skin analysis as a more accessible and cost-effective tool for assessing skin firmness and wrinkle improvement. Methods: A retrospective analysis was conducted on 34 patients treated simultaneously with high-intensity focused ultrasound and bipolar radiofrequency between January and February 2025. AI-based skin assessments, evaluating firmness and wrinkle scores, were obtained pre-treatment, immediately post-treatment, and at a 2-month follow-up. Standardized clinical photographs were independently evaluated by two blinded human raters. Logistic regression and correlation analyses were conducted to determine alignment between AI and human evaluations. Results: AI analysis showed significant improvements in both firmness and wrinkle scores immediately after treatment and at the 2-month follow-up (P<0.05). Human evaluations demonstrated high inter-rater agreement (Cohen’s κ=0.72–0.91). Logistic regression analyses indicated that changes in AI scores significantly predicted human-rated treatment effectiveness at both time points (area under the curve [AUC] for firmness=0.86; AUC for wrinkles=0.73–0.93). Spearman correlation coefficients and the Mann-Whitney U test further supported strong alignment between AI and human assessments. Conclusions This study validates the clinical utility of AI-based skin analysis as a reliable quantitative measure for evaluating wrinkle improvement and skin tightening following energy-based rejuvenation treatments. Its predictive validity aligns well with expert human judgment, particularly at delayed follow-up.

Fournier’s gangrene (FG) is a rapidly progressive necrotizing fasciitis affecting the perineal, genital, or perianal regions. It is a rare but potentially life-threatening condition that predominantly affects immunocompromised individuals, including those infected with the human immunodeficiency virus (HIV). Recent findings have highlighted the benefits of sodium-glucose cotransporter 2 inhibitors (SGLT2i) for patients with diabetes mellitus, such as prevention and treatment of cardiovascular disease, heart failure, and kidney disease. This supports both the expansion of their indications and the development of drug combinations with first-line medications. However, the increased risk of genitourinary infections is a well-known side effect of SGLT2i. This report describes the case of a 62-year-old man with well-controlled HIV infection, hypertension, and diabetes mellitus, who was using an SGLT2i and presented with FG. The patient underwent prompt surgical debridement, antibiotic therapy, and discontinued the SGLT2i, followed by wound reconstruction using a local transposition flap. This resulted in a successful outcome, with no further wounds observed for 3 months. This case underscores the potential synergistic risk factors of SGLT2i use and HIV infection in the development of FG and highlights the critical importance of prompt surgical intervention.

Background: Quantitative skin assessments have transitioned from subjective evaluations to objective approaches. However, clinical application has remained limited due to high costs and reliance on specialized equipment. High-intensity focused ultrasound and radiofrequency are the two most widely used noninvasive modalities for skin tightening and wrinkle improvement. This study investigated investigate the efficacy of artificial intelligence (AI)-based skin analysis as a more accessible and cost-effective tool for assessing skin firmness and wrinkle improvement. Methods: A retrospective analysis was conducted on 34 patients treated simultaneously with high-intensity focused ultrasound and bipolar radiofrequency between January and February 2025. AI-based skin assessments, evaluating firmness and wrinkle scores, were obtained pre-treatment, immediately post-treatment, and at a 2-month follow-up. Standardized clinical photographs were independently evaluated by two blinded human raters. Logistic regression and correlation analyses were conducted to determine alignment between AI and human evaluations. Results: AI analysis showed significant improvements in both firmness and wrinkle scores immediately after treatment and at the 2-month follow-up (P<0.05). Human evaluations demonstrated high inter-rater agreement (Cohen’s κ=0.72–0.91). Logistic regression analyses indicated that changes in AI scores significantly predicted human-rated treatment effectiveness at both time points (area under the curve [AUC] for firmness=0.86; AUC for wrinkles=0.73–0.93). Spearman correlation coefficients and the Mann-Whitney U test further supported strong alignment between AI and human assessments. Conclusions This study validates the clinical utility of AI-based skin analysis as a reliable quantitative measure for evaluating wrinkle improvement and skin tightening following energy-based rejuvenation treatments. Its predictive validity aligns well with expert human judgment, particularly at delayed follow-up.

Background: Quantitative skin assessments have transitioned from subjective evaluations to objective approaches. However, clinical application has remained limited due to high costs and reliance on specialized equipment. High-intensity focused ultrasound and radiofrequency are the two most widely used noninvasive modalities for skin tightening and wrinkle improvement. This study investigated investigate the efficacy of artificial intelligence (AI)-based skin analysis as a more accessible and cost-effective tool for assessing skin firmness and wrinkle improvement. Methods: A retrospective analysis was conducted on 34 patients treated simultaneously with high-intensity focused ultrasound and bipolar radiofrequency between January and February 2025. AI-based skin assessments, evaluating firmness and wrinkle scores, were obtained pre-treatment, immediately post-treatment, and at a 2-month follow-up. Standardized clinical photographs were independently evaluated by two blinded human raters. Logistic regression and correlation analyses were conducted to determine alignment between AI and human evaluations. Results: AI analysis showed significant improvements in both firmness and wrinkle scores immediately after treatment and at the 2-month follow-up (P<0.05). Human evaluations demonstrated high inter-rater agreement (Cohen’s κ=0.72–0.91). Logistic regression analyses indicated that changes in AI scores significantly predicted human-rated treatment effectiveness at both time points (area under the curve [AUC] for firmness=0.86; AUC for wrinkles=0.73–0.93). Spearman correlation coefficients and the Mann-Whitney U test further supported strong alignment between AI and human assessments. Conclusions This study validates the clinical utility of AI-based skin analysis as a reliable quantitative measure for evaluating wrinkle improvement and skin tightening following energy-based rejuvenation treatments. Its predictive validity aligns well with expert human judgment, particularly at delayed follow-up.

Neuroendocrine carcinoma (NEC) is a rare aggressive tumor of the skin with a shared phenotype of both endocrine and neuronal features. Its behavior includes rapid progression, common local recurrence, frequent metastasis to local lymph nodes, and occasional systematic involvement. The risk factors for NEC are similar to those for other skin cancers and mainly include ultraviolet light exposure, older age, T-cell immunosuppression, fair skin, and male sex. NEC is seen more frequently in the immunosuppressed population, and we report a rare case of NEC combined with squamous cell carcinoma (SCC) in a patient who underwent kidney transplantation. A 66-year-old man was referred with a brownish plaque on left cheek, and a punch biopsy result indicated SCC in situ. Wide excision was performed, and the defect was reconstructed using a bilobed flap. The final biopsy confirmed SCC combined with carcinoma with neuroendocrine differentiation, and positron emission tomography-computed tomography confirmed the absence of lymph node metastasis or systemic involvement. The patient showed no evidence of recurrence or other postoperative complications.

Neuroendocrine carcinoma (NEC) is a rare aggressive tumor of the skin with a shared phenotype of both endocrine and neuronal features. Its behavior includes rapid progression, common local recurrence, frequent metastasis to local lymph nodes, and occasional systematic involvement. The risk factors for NEC are similar to those for other skin cancers and mainly include ultraviolet light exposure, older age, T-cell immunosuppression, fair skin, and male sex. NEC is seen more frequently in the immunosuppressed population, and we report a rare case of NEC combined with squamous cell carcinoma (SCC) in a patient who underwent kidney transplantation. A 66-year-old man was referred with a brownish plaque on left cheek, and a punch biopsy result indicated SCC in situ. Wide excision was performed, and the defect was reconstructed using a bilobed flap. The final biopsy confirmed SCC combined with carcinoma with neuroendocrine differentiation, and positron emission tomography-computed tomography confirmed the absence of lymph node metastasis or systemic involvement. The patient showed no evidence of recurrence or other postoperative complications.

Neuroendocrine carcinoma (NEC) is a rare aggressive tumor of the skin with a shared phenotype of both endocrine and neuronal features. Its behavior includes rapid progression, common local recurrence, frequent metastasis to local lymph nodes, and occasional systematic involvement. The risk factors for NEC are similar to those for other skin cancers and mainly include ultraviolet light exposure, older age, T-cell immunosuppression, fair skin, and male sex. NEC is seen more frequently in the immunosuppressed population, and we report a rare case of NEC combined with squamous cell carcinoma (SCC) in a patient who underwent kidney transplantation. A 66-year-old man was referred with a brownish plaque on left cheek, and a punch biopsy result indicated SCC in situ. Wide excision was performed, and the defect was reconstructed using a bilobed flap. The final biopsy confirmed SCC combined with carcinoma with neuroendocrine differentiation, and positron emission tomography-computed tomography confirmed the absence of lymph node metastasis or systemic involvement. The patient showed no evidence of recurrence or other postoperative complications.

PURPOSE: Kawasaki disease (KD) is an acute systemic vasculitis. Both the etiology of KD and the erythema of Bacille Calmette-Guérin (BCG) injection sites observed in the disease are poorly understood. We investigated the association between KD and single nucleotide polymorphisms (SNPs) in two candidate genes: inositol 1,4,5-triphosphate 3-kinase (ITPKC), a well-studied KD-associated gene, and solute carrier 11a1 (SLC11A1), which is associated with the hypersensitive reaction to the BCG strain in Koreans. MATERIALS AND METHODS: Associations between KD and SNPs in two genes were evaluated. Potential associations between BCG injection site erythema and SNPs in two genes were also evaluated. Gene-gene interactions between ITPKC and SLC11A1 in KD and BCG injection site erythema were also analyzed. RESULTS: Three tagging SNPs in ITPKC and five tagging SNPs in SLC11A1 were genotyped in 299 KD patients and 210 control children. SNP rs28493229 in ITPKC was associated with KD and coronary artery complications. SNP rs77624405 in SLC11A1 was associated with KD. Comparisons of KD patients with and without BCG injection site erythema revealed that SNP rs17235409 in SLC11A1 was associated with erythema; no erythema-associated SNPs in ITPKC were identified. Interactions between ITPKC rs28493229_GG and SLC11A1 rs17235409_GA and between ITPKC rs10420685_GG and SLC11A1 rs17235409_AA were strongly associated with BCG injection site erythema. CONCLUSION: This study identified several important polymorphisms in the ITPKC and SLC11A1 genes in Koreans. The genetic variants identified in this study affected KD and erythema of BCG injection sites independently and through gene-gene interactions. Also, the effects of the polymorphisms were age-dependent.
Asian Continental Ancestry Group/genetics ; BCG Vaccine/administration & dosage ; Case-Control Studies ; Cation Transport Proteins/genetics ; Child ; Child, Preschool ; Epistasis, Genetic ; Erythema/complications ; Female ; Genetic Association Studies ; Genetic Predisposition to Disease ; Humans ; Infant ; Male ; Mucocutaneous Lymph Node Syndrome/genetics ; Mutation Rate ; Phosphotransferases (Alcohol Group Acceptor)/genetics ; Polymorphism, Single Nucleotide/genetics ; Republic of Korea