Publications by authors named "Sara MonjiAzad"
Article Synopsis
- Augmented Reality (AR) enhances surgical procedures by aiding surgeons' spatial reasoning and providing visualizations of anatomical structures directly on the patient.
- The review focuses on the current advancements and future possibilities of AR specifically in head and neck surgery.
- It also discusses the potential benefits of AR while highlighting the challenges that need to be addressed for its effective implementation.
Article Synopsis
- A new 2½ D point cloud registration method was created to produce digital twins of tissue shapes and surgical cavities, utilizing machine learning to measure soft tissue shifts.
- The model was trained with data from simulated tumor resections in a pig head cadaver, involving 438 scans and temperature changes that caused tissue shifts.
- Results indicated significant volume changes in resection cavities and cut tissues due to temperature, with notable deformation that affects how tissues fit together post-surgery, highlighting the method's effectiveness in quantifying tissue changes.
Digital twins derived from 3D scanning data were developed to measure soft tissue deformation in head and neck surgery by an artificial intelligence approach. This framework was applied suggesting feasibility of soft tissue shift detection as a hitherto unsolved problem. In a pig head cadaver model 104 soft tissue resection had been performed.
View Article and Find Full Text PDFIdentifying embryos with a high potential for implementation remains a challenge in fertilization (IVF) cycles. Despite progress in IVF treatment, only a minority of generated embryos has the ability to implant. Another drawback of this practice is the high frequency of multiple pregnancies.
View Article and Find Full Text PDFBackground And Objective: Aspiration of a good-quality sperm during intracytoplasmic sperm injection (ICSI) is one of the main concerns. Understanding the influence of individual sperm morphology on fertilization, embryo quality, and pregnancy probability is one of the most important subjects in male factor infertility. Embryologists need to decide the best sperm for injection in real time during ICSI cycle.
View Article and Find Full Text PDFAn efficient method for automatic morphological abnormality detection from human sperm images.
Comput Methods Programs Biomed
December 2015
Background And Objective: Sperm morphology analysis (SMA) is an important factor in the diagnosis of human male infertility. This study presents an automatic algorithm for sperm morphology analysis (to detect malformation) using images of human sperm cells.
Methods: The SMA method was used to detect and analyze different parts of the human sperm.