David I. Hoffman
YOU?
Author Swipe
View article: Optimizing Oocyte Yield Utilizing a Machine Learning Model for Dose and Trigger Decisions: A Multi-Center, Prospective Study
Optimizing Oocyte Yield Utilizing a Machine Learning Model for Dose and Trigger Decisions: A Multi-Center, Prospective Study Open
Objective 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 of trigger injection. Des…
Automatic Ploidy Prediction and Quality Assessment of Human Blastocyst Using Time-Lapse Imaging Open
Assessing fertilized human embryos is crucial for in vitro-fertilization (IVF), a task being revolutionized by artificial intelligence and deep learning. Existing models used for embryo quality assessment and chromosomal abnormality (ploid…
Dehumanizing Voice Technology: Phonetic & Experiential Consequences of Restricted Human-Machine Interaction Open
The use of natural language and voice-based interfaces gradu-ally transforms how consumers search, shop, and express their preferences. The current work explores how changes in the syntactical structure of the interaction with conversation…
Evaluating genetic ancestry and self-reported ethnicity in the context of carrier screening Open
Background Current professional society guidelines recommend genetic carrier screening be offered on the basis of ethnicity, or when using expanded carrier screening panels, they recommend to compute residual risk based on ethnicity. We in…
Additional file 2: of Evaluating genetic ancestry and self-reported ethnicity in the context of carrier screening Open
Supplementary tables. (XLSX 39181 kb)