AIMC Topic: Female

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Fetal neurobehavior and consciousness: a systematic review of 4D ultrasound evidence and ethical challenges.

Journal of perinatal medicine
INTRODUCTION: Recent advancements in four-dimensional (4D) ultrasonography have enabled detailed observation of fetal behavior , including facial movements, limb gestures, and stimulus responses. These developments have prompted renewed inquiry into ...

Comparative reproductive biology, advances in reproductive health, and cultivating inclusion in the scientific community: highlights from the 2024 Annual Meeting of the Society for Reproductive Biology.

Reproduction, fertility, and development
In 2024, the reproductive biology research community in Australia and New Zealand reunited in Adelaide for the Society for Reproductive Biology (SRB) Annual Meeting. The conference showcased major advances made in key areas of reproductive biology, w...

[Impacts and implications of conversational artificial intelligence tools in hematology: a critical evaluation of performance and patient perception].

Annales de biologie clinique
Large Language Models (LLMs), such as ChatGPT, Gemini, and Copilot, are generating growing interest for their ability to produce accessible medical responses. In hematology, a discipline focused on the interpretation of complex test results, these to...

Artificial intelligence-enhanced electrocardiography to predict regurgitant valvular heart diseases: an international study.

European heart journal
BACKGROUND AND AIMS: Valvular heart disease (VHD) is a significant source of morbidity and mortality, though early intervention can improve outcomes. This study aims to develop artificial intelligence-enhanced electrocardiography (AI-ECG) models to d...

Plasma lipid levels predict chemotherapy response and survival in acute myeloid leukemia.

Blood
Acute myeloid leukemia (AML) is characterized by a low 5-year survival rate. Despite having many clinical metrics to assess patient prognosis, there remain opportunities to improve risk stratification. We hypothesized that an underexplored resource t...

Application of real-time artificial intelligence to cataract surgery.

The British journal of ophthalmology
BACKGROUND/AIMS: Artificial intelligence (AI) in Ophthalmology has yet to be applied to real-time cataract surgery. This work explores a new AI tool, developed for phacoemulsification, and evaluates its potential uses.First, our study aimed to demons...

Utility of Thin-slice Single-shot T2-weighted MR Imaging with Deep Learning Reconstruction as a Protocol for Evaluating Pancreatic Cystic Lesions.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
PURPOSE: To assess the effects of industry-developed deep learning reconstruction with super resolution (DLR-SR) on single-shot turbo spin-echo (SshTSE) images with thickness of 2 mm with DLR (SshTSE) relative to those of images with a thickness of 5...

Impact of the Genius Digital Diagnostics System on workflow and accuracy compared with the ThinPrep Imaging System for review of ThinPrep Papanicolaou tests.

American journal of clinical pathology
OBJECTIVE: In this study, we compared the workflow of the Genius Digital Diagnostics System (Hologic, Inc) with our current workflow based on the ThinPrep Imaging System (Hologic, Inc) to assess potential efficiencies associated with digitalization o...

Machine learning approaches for predicting heart failure readmissions.

Postgraduate medical journal
PURPOSE: This study aims to develop and evaluate machine learning (ML) models to predict the likelihood of hospital readmission within 30 days after discharge for patients with heart failure (HF). The goal is to compare the predictive accuracy of ML ...