Publications by authors named "D Ardila"
Article Synopsis
- Extra ocular sebaceous carcinoma is a rare and aggressive tumor that arises from sebaceous glands, accounting for about 25% of sebaceous carcinomas, and is often challenging to diagnose due to its atypical appearance.
- A 69-year-old woman was diagnosed with a sebaceous carcinoma on her back, which presented as a large, ulcerated lesion, and was confirmed through a biopsy; she underwent surgical excision and sentinel lymph node biopsy.
- This case highlights that sebaceous carcinoma can appear in unusual locations, such as the back, and underscores the importance of surgical intervention as the primary treatment method, while noting that sentinel lymph node biopsy may be a less invasive alternative for staging.
Article Synopsis
- - Over 85 million CT scans are done annually in the US, with a significant portion focused on the abdomen, highlighting a need for efficient interpretation methods due to a shortage of radiologists.
- - To address this, researchers introduced Merlin, a 3D Vision Language Model (VLM) that uses both electronic health records and radiology reports for training without the need for manual annotations, utilizing a vast clinical dataset of millions of images and codes.
- - Merlin was evaluated on various tasks, including chronic disease prediction and report generation, showing better performance than current methods, demonstrating its potential to support radiologists in their work.
Cardiovascular diseases (CVDs) are responsible for a large proportion of premature deaths in low- and middle-income countries. Early CVD detection and intervention is critical in these populations, yet many existing CVD risk scores require a physical examination or lab measurements, which can be challenging in such health systems due to limited accessibility. We investigated the potential to use photoplethysmography (PPG), a sensing technology available on most smartphones that can potentially enable large-scale screening at low cost, for CVD risk prediction.
View Article and Find Full Text PDFPurpose To evaluate the impact of an artificial intelligence (AI) assistant for lung cancer screening on multinational clinical workflows. Materials and Methods An AI assistant for lung cancer screening was evaluated on two retrospective randomized multireader multicase studies where 627 (141 cancer-positive cases) low-dose chest CT cases were each read twice (with and without AI assistance) by experienced thoracic radiologists (six U.S.
View Article and Find Full Text PDFBackground: alterations are associated with intracranial tumors in the pediatric population, including pineoblastoma, pituitary blastoma, and the recently described "primary -associated CNS sarcoma" (DCS). DCS is an extremely aggressive tumor with a distinct methylation signature and a high frequency of co-occurring mutations. However, little is known about its treatment approach and the genomic changes occurring after exposure to chemoradiotherapy.
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