A5076310286- Oral and Maxillofacial Pathology
- Radiomics and Machine Learning in Medical Imaging
- Dental Radiography and Imaging
- AI in cancer detection
- Head and Neck Cancer Studies
- Oral Health Pathology and Treatment
- Gallbladder and Bile Duct Disorders
- Colorectal and Anal Carcinomas
- Pediatric Hepatobiliary Diseases and Treatments
- Artificial Intelligence in Healthcare and Education
- Lymphadenopathy Diagnosis and Analysis
- Oral and gingival health research
- Medical Imaging and Analysis
- Advanced X-ray and CT Imaging
- Pancreatic and Hepatic Oncology Research
Universidade Federal de São Paulo
2023-2024
Hospital Israelita Albert Einstein
2024
Odontogenic tumors (OT) are composed of heterogeneous lesions, which can be benign or malignant, with different behavior and histology. Within this classification, ameloblastoma ameloblastic carcinoma (AC) represent a diagnostic challenge in daily histopathological practice due to their similar characteristics the limitations that incisional biopsies represent. From these premises, we wanted test usefulness models based on artificial intelligence (AI) field oral maxillofacial pathology for...
Abstract Background Dysplasia grading systems for oral epithelial dysplasia are a source of disagreement among pathologists. Therefore, machine learning approaches being developed to mitigate this issue. Methods This cross‐sectional study included cohort 82 patients with potentially malignant disorders and correspondent 98 hematoxylin eosin‐stained whole slide images biopsied‐proven dysplasia. All whole‐slide were manually annotated based on the binary system The regions interest segmented...
To develop a natural language processing application capable of automatically identifying benign gallbladder diseases that require surgery, from radiology reports.
Resumo Objetivo: Desenvolver uma aplicação de processamento linguagem natural capaz identificar automaticamente doenças cirúrgicas benignas da vesícula biliar a partir laudos radiológicos. Materiais e Métodos: Desenvolvemos um classificador texto para classificar como contendo ou não biliar. Selecionamos aleatoriamente 1.200 com descrição nosso banco dados, incluindo diferentes modalidades. Quatro radiologistas classificaram os doença benigna cirúrgica não. Duas arquiteturas aprendizagem...