Latest AI and machine learning research in pregnancy for healthcare professionals.
With the advent of the COVID-19 pandemic, ultrasound imaging has emerged as a promising technique ...
In several two-sided markets, including labor and dating, agents typically have limited informatio...
Prostate cancer (PCa) detection using deep learning (DL) models has shown potential for enhancing ...
As artificial intelligence (AI) becomes increasingly embedded in healthcare delivery, this chapter...
Foundational models have emerged as powerful tools for addressing various tasks in clinical settin...
Developing reliable healthcare AI models requires training with representative and diverse data. I...
Traditional ultrasound simulators solve the wave equation to model pressure distribution fields, a...
Temporal embryo images and parental fertility table indicators are both valuable for pregnancy pre...
The Mice Autism Detection via Ultrasound Vocalization (MADUV) Challenge introduces the first INTER...
Ultrasound images are commonly formed by sequential acquisition of beam-steered scan-lines. Minimi...
With the dramatic upsurge in the volume of ultrasound examinations, low-quality ultrasound imaging...
Lung ultrasound is a growing modality in clinics for diagnosing and monitoring acute and chronic l...
Accurate and robust ultrasound image segmentation is critical for computer-aided diagnostic system...
Overcoming biological barriers remains the paramount challenge for pulmonary mRNA therapeutics. Conv...
The ability to differentiate between viable and dead microorganisms in metagenomic data is crucial f...
Nanomedicine requires smart delivery systems that are precise, robust, and universal. While liposome...
Effective treatment of chronic pain remains hindered by the lack of drug delivery systems that simul...
Endosomal escape remains a major barrier to effective nucleic acid delivery via lipid nanoparticles ...
Metabolic transformations in female mammals throughout gestation manifest in the metabolite profiles...
Repeated pregnancy loss (RPL) is a multifactorial condition in which the underlying immunological me...
Neural circuits emerge during development through dynamic interactions between genetic instructions ...