A5101258570- Ovarian function and disorders
- Reproductive Biology and Fertility
- Assisted Reproductive Technology and Twin Pregnancy
- Advanced X-ray and CT Imaging
- Medical Imaging Techniques and Applications
- Neural Networks and Reservoir Computing
- Fault Detection and Control Systems
- Reproductive Health and Technologies
- Advanced Control Systems Optimization
- Fuzzy Logic and Control Systems
- Neural Networks and Applications
- Advanced Memory and Neural Computing
- Advanced MRI Techniques and Applications
St Thomas' Hospital
2024
The King's College
2024
King's College Hospital
2024
University of Electronic Science and Technology of China
2023
University of California, San Diego
2023
The objective of this study was to evaluate clinical outcomes for patients undergoing IVF treatment where an artificial intelligence (AI) platform utilized by clinicians help determine the optimal starting dose FSH and timing trigger injection. This a prospective trial with historical control arm. Four physicians from two assisted reproductive technology centers in United States participated study. arm included autologous cycles between December 2022-April 2023 physician use AI select...
<title>Abstract</title> <bold>Objective</bold> To evaluate clinical outcomes for patients undergoing IVF treatment where an artificial intelligence (AI) platform was utilized by clinicians to help determine the optimal starting dose of FSH and timing trigger injection. <bold>Design</bold> Prospective trial with historical control arm <bold>Setting</bold> Four physicians from two assisted reproductive technology centers in United States participated study. <bold>Patients</bold> The included...
<title>Abstract</title> <bold>Background: </bold>Spectral analysis is a model-free quantification technique that treats the time-space signal as an impulse response to bolus injection.Band-pass spectral analysis, considering specific frequency ranges, enables calculation of separate parametric maps receptor subtype tracer binding for suitable radiopharmaceuticals. Frequency ranges are based on blocking studies. The process currently requires manual selection data. To enhance efficiency...
Intelligence control leverages the power of artificial intelligence (AI). Traditional simulation techniques limited by their dependence on accurate and complete data. To address issues a lack such data in practice, this paper proposes an intelligent system engineering approach to modelling control. In particular, we introduce use set local transfer functions brace nonlinear for well-fitted models. Additionally, networked PID controller is designed using variable parameter function obtained...
Traditional Spike Neural Network (SNN) algorithms have been applied in various fields such as face recognition, speech and robot control. However, existing learning are mostly based on synaptic weights overlook the temporal characteristics. As a result, an effectively improved processing speed cannot be achieved when dealing with large-scale data, accuracy is limited presence of noise. To address inefficiency practice, this paper proposes classification algorithm for single-layer called...