Publications by authors named "Kin-Man Law"
Background: Although carotid sonographic features have been used as predictors of recurrent stroke, few large-scale studies have explored the use of machine learning analysis of carotid sonographic features for the prediction of recurrent stroke.
Methods: We retrospectively collected electronic medical records of enrolled patients from the data warehouse of China Medical University Hospital, a tertiary medical center in central Taiwan, from January 2012 to November 2018. We included patients who underwent a documented carotid ultrasound within 30 days of experiencing an acute first stroke during the study period.
Patients with bone metastases have poor prognoses. A bone scan is a commonly applied diagnostic tool for this condition. However, its accuracy is limited by the nonspecific character of radiopharmaceutical accumulation, which indicates all-cause bone remodeling.
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- Neoadjuvant chemoradiotherapy (NCRT) is a key treatment for locally advanced rectal cancer, and a new AI model aims to predict patient responses using 18F-FDG-PET/CT imaging.
- The study analyzed data from 236 rectal cancer patients, training the model on 202 cases and validating it on 34, with treatment responses graded based on tumor regression.
- The model showed high predictive performance in both training (sensitivity: 98.3%) and validation (sensitivity: 95.0%) cohorts, indicating that PET/CT images can effectively forecast favorable treatment outcomes, though further external validation is needed.