Publications by authors named "M Schuessler"
Objective: This study aims to explore and develop tools for early identification of depression concerns among cancer patients by leveraging the novel data source of messages sent through a secure patient portal.
Materials And Methods: We developed classifiers based on logistic regression (LR), support vector machines (SVMs), and 2 Bidirectional Encoder Representations from Transformers (BERT) models (original and Reddit-pretrained) on 6600 patient messages from a cancer center (2009-2022), annotated by a panel of healthcare professionals. Performance was compared using AUROC scores, and model fairness and explainability were examined.
A novel software, DiffTool, was developed in-house to keep track of changes made by board-certified radiologists to preliminary reports created by residents and evaluate its impact on radiological hands-on training. Before (t) and after (t) the deployment of the software, 18 residents (median age: 29 years; 33% female) completed a standardized questionnaire on professional training. At t the participants were also requested to respond to three additional questions to evaluate the software.
View Article and Find Full Text PDFArticle Synopsis
- The outbreak of the monkeypox virus (MPXV) is worsened by late detection and isolation of infected individuals, prompting the creation of a new AI tool named MPXV-CNN to identify skin lesions related to the virus.
- MPXV-CNN was trained on a large dataset of 139,198 images, including both MPXV lesions and non-MPXV images, resulting in high sensitivity (0.83-0.89) and specificity (0.898-0.965) in identifying infections.
- A web-based app has been developed to make MPXV-CNN accessible, potentially improving early detection and management during MPXV outbreaks.
Article Synopsis
- The study aimed to determine if CT-derived fractional flow reserve (CT-FFR) can effectively differentiate between significant and non-significant coronary stenosis in patients being evaluated for liver transplantation (LT).
- A total of 201 patients underwent coronary computed tomography angiography (CCTA) to check for coronary artery disease (CAD), with follow-up invasive coronary angiography (ICA) for those with suspected significant stenosis.
- Results showed that CT-FFR had good diagnostic accuracy, indicating that it may be a valuable noninvasive tool to reduce the need for invasive procedures in high-risk LT candidates.
Article Synopsis
- AI algorithms for medical image analysis showed they can perform as well as human readers in breast cancer diagnosis but need to incorporate multiple data sources for better accuracy.
- * In a study with 1288 women, both human experts and AI using ultrasound data alone had similar success rates in diagnosing breast masses.
- * However, when integrating additional clinical and demographic information, AI algorithms performed better, yet both still lagged behind traditional routine diagnosis methods.