A5073349598- Photodynamic Therapy Research Studies
- Oral Health Pathology and Treatment
- Optical Imaging and Spectroscopy Techniques
- Laser Applications in Dentistry and Medicine
- Spectroscopy Techniques in Biomedical and Chemical Research
- AI in cancer detection
- Tracheal and airway disorders
- Airway Management and Intubation Techniques
- Obstructive Sleep Apnea Research
- Nanoplatforms for cancer theranostics
- Sarcoma Diagnosis and Treatment
- Foreign Body Medical Cases
- Ear and Head Tumors
- Head and Neck Anomalies
- Brain Tumor Detection and Classification
- Cardiac tumors and thrombi
- Anomaly Detection Techniques and Applications
- Photoacoustic and Ultrasonic Imaging
- Cancer, Hypoxia, and Metabolism
- COVID-19 diagnosis using AI
Hamad Medical Corporation
2018-2024
Multispectral autofluorescence lifetime imaging (maFLIM) can be used to clinically image a plurality of metabolic and biochemical biomarkers oral epithelial dysplasia cancer. This study tested the hypothesis that maFLIM-derived in machine-learning (ML) models discriminate dysplastic cancerous from healthy tissue. Clinical widefield maFLIM endoscopy lesions was performed at two clinical centers. Endoscopic images 34 patients acquired one centers were optimize ML for automated discrimination A...
In contrast to previous studies that focused on classical machine learning algorithms and hand-crafted features, we present an end-to-end neural network classification method able accommodate lesion heterogeneity for improved oral cancer diagnosis using multispectral autofluorescence lifetime imaging (maFLIM) endoscopy. Our uses autoencoder framework jointly trained with a classifier designed handle overfitting problems reduced databases, which is often the case in healthcare applications....
Ectopic intratracheal thyroid tissue (EITT) is a rare abnormality with only limited cases reported so far. The presenting symptoms can be very similar to those of bronchial asthma. We discuss the case 29-year-old man subglottic ectopic thyroid, history surgery for goiter, which has been managed laser-assisted endoscopic approach. have also included symptoms, pathophysiology, diagnosis, and management EITT. aim include EITT in differentials airway obstruction, particularly patients who goiter...
Early detection is critical for improving the survival rate and quality of life oral cancer patients; unfortunately, dysplastic early-stage cancerous lesions are often difficult to distinguish from benign during standard clinical examination. Therefore, there a need novel technologies that would enable reliable screening. The autofluorescence properties epithelial tissue provide quantitative information about morphological, biochemical, metabolic cellular alterations accompanying...
Deep learning approaches for medical image analysis are limited by small data set size due to factors such as patient privacy and difficulties in obtaining expert labelling each image. In imaging system development pipelines, phases classification algorithms often overlap with collection, creating disjoint sets collected at numerous locations differing protocols. this setting, merging from different collection centers increases the amount of training data. However, a direct combination...
Diagnosis of cancerous and pre-cancerous oral lesions at early stages is critical for the improvement patient care, to increase survival rates minimize invasiveness tumor resection surgery. Unfortunately, precancerous early-stage are often difficult distinguish from benign with existing diagnostic tools used during standard clinical examination. In consequence, diagnosis cancer can be achieved in only about 30% patients. Therefore, technologies fast, minimally invasive, accurate screening...
Multispectral autofluorescence lifetime imaging systems have recently been developed to quickly and non-invasively assess tissue properties for applications in oral cancer diagnosis. As a non-traditional modality, the signal collected from system cannot be directly visually assessed by clinician model is needed generate diagnosis each image. However, training deep learning scratch on small multispectral datasets can fail due inter-patient variability, poor initialization, overfitting.
Pleomorphic sarcoma of the larynx is a rare variant laryngeal cancer. We present case 59-year-old male patient who has been smoking for 40 years. He presented with signs and symptoms an obstructive glottic mass. The diagnostic workup pointed to malignant pathology; histopathology report confirmed diagnosis undifferentiated pleomorphic (malignant fibrous histiocytoma).
Obstructive sleep apnea (OSA) is prevalent in 9-38% of the population accounting for reduced quality life, and associated with an increased incidence hypertension, type 2 diabetes mellitus, coronary heart disease, stroke, death.Surgical interventions are indicated to improve compliance outcomes patients not tolerating CPAP.Recently, drug-induced endoscopy (DISE) has taken position as a method dynamic evaluation upper airway during medically induced sleep.This study aims illustrate our...
Multispectral autofluorescence endoscopy is a non-invasive optical imaging modality that can provide contrast between malignant and benign oral tissue. We hypothesized discrimination of cancerous precancerous from lesions be achieved through machine-learning (ML) models developed with multispectral intensity features. In vivo endoscopic images benign, precancerous, were acquired 67 patients used to optimize ML for cancerous/precancerous lesions. This study demonstrates the potentials...
Multispectral autofluorescence lifetime imaging (maFLIM) endoscopy can be used to clinically image a plurality of metabolic and biochemical biomarkers oral precancer cancer. We tested the hypothesis that maFLIM-derived as features in machine-learning models automatically discriminate precancerous cancerous from healthy tissue. Clinical widefield maFLIM images lesions 57 patients were acquired develop validate computer-aided detection (CAD) system. This study demonstrates potentials...