June 2026 in “EJC Paediatric Oncology” The study focused on predicting permanent radiation-induced alopecia (RIA) in pediatric patients undergoing craniospinal irradiation (CSI) using the Pediatric Atlas-Based Scalp Segmentation Technique (PAST) and the Hair loss Outcome Prediction and Evaluation (HOPE) projects. Involving 48 pediatric patients, the study developed an atlas-based automated contouring protocol, achieving significant time efficiency and accuracy in scalp segmentation. Permanent RIA was observed in 45.8% of patients, with high-dose thiotepa and twice-daily fractionation identified as significant predictors. Dosimetric thresholds were established to aid in scalp-sparing CSI planning, highlighting the importance of radiation dose and treatment intensity in RIA development.
October 2024 in “Revista Científica Dynamikos” A hair implant clinic in Bogotá is feasible and can offer affordable treatments for medium-income individuals.
5 citations
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June 2023 in “Engineering Technology & Applied Science Research” The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
1 citations
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September 2024 in “arXiv (Cornell University)” Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
31 citations
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September 2012 in “Human Brain Mapping” People with Seasonal Affective Disorder have different brain activity in certain areas when resting.