AIMC Topic: Female

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A population-based study to assess two convolutional neural networks for dental age estimation.

BMC oral health
BACKGROUND: Dental age (DA) estimation using two convolutional neural networks (CNNs), VGG16 and ResNet101, remains unexplored. In this study, we aimed to investigate the possibility of using artificial intelligence-based methods in an eastern Chines...

Artificial intelligence and the potential for perioperative delabeling of penicillin allergies for neurosurgery inpatients.

British journal of neurosurgery
PURPOSE OF THE ARTICLE: Patients with penicillin allergy labels are more likely to have postoperative wound infections. When penicillin allergy labels are interrogated, a significant number of individuals do not have penicillin allergies and may be d...

A comparative study of two automated solutions for cross-sectional skeletal muscle measurement from abdominal computed tomography images.

Medical physics
BACKGROUND: Measurement of cross-sectional muscle area (CSMA) at the mid third lumbar vertebra (L3) level from computed tomography (CT) images is becoming one of the reference methods for sarcopenia diagnosis. However, manual skeletal muscle segmenta...

The Use of Facial Recognition Software and Published Manuscripts to Examine Trends in Surgical Editorial Board Diversity.

The Journal of surgical research
INTRODUCTION: Recent social justice movements have highlighted the need for improved diversity and inclusion. These movements have emphasized the need for inclusivity of all genders and races in all sectors including surgical editorial boards. There ...

Deep learning for the ovarian lesion localization and discrimination between borderline and malignant ovarian tumors based on routine MR imaging.

Scientific reports
To establish a deep learning (DL) model in differentiating borderline ovarian tumor (BOT) from epithelial ovarian cancer (EOC) on conventional MR imaging. We retrospectively enrolled 201 patients of 102 pathologically proven BOTs and 99 EOCs at OB/GY...

Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries.

Scientific reports
Most artificial intelligence (AI) research and innovations have concentrated in high-income countries, where imaging data, IT infrastructures and clinical expertise are plentiful. However, slower progress has been made in limited-resource environment...

Monitoring the respiratory behavior of multiple cows based on computer vision and deep learning.

Journal of dairy science
Automatic respiration monitoring of dairy cows in modern farming not only helps to reduce manual labor but also increases the automation of health assessment. It is common for cows to congregate on farms, which poses a challenge for manual observatio...

The impact of diabetes mellitus on pelvic organ prolapse recurrence after robotic sacrocolpopexy.

International urogynecology journal
INTRODUCTION AND HYPOTHESIS: Data examining the effect of diabetes mellitus (DM) on prolapse recurrence after sacrocolpopexy (SCP) is limited. The primary objective of this study was to determine if DM affects prolapse recurrence after robotic SCP.