AIMC Topic: Female

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Ultrasonographic morphological characteristics determined using a deep learning-based computer-aided diagnostic system of breast cancer.

Medicine
To investigate the correlations between ultrasonographic morphological characteristics quantitatively assessed using a deep learning-based computer-aided diagnostic system (DL-CAD) and histopathologic features of breast cancer.This retrospective stud...

Prediction of Early Symptom Remission in Two Independent Samples of First-Episode Psychosis Patients Using Machine Learning.

Schizophrenia bulletin
BACKGROUND: Validated clinical prediction models of short-term remission in psychosis are lacking. Our aim was to develop a clinical prediction model aimed at predicting 4-6-week remission following a first episode of psychosis.

Predicting Anterior Cruciate Ligament Reconstruction Revision: A Machine Learning Analysis Utilizing the Norwegian Knee Ligament Register.

The Journal of bone and joint surgery. American volume
BACKGROUND: Several factors are associated with an increased risk of anterior cruciate ligament (ACL) reconstruction revision. However, the ability to accurately translate these factors into a quantifiable risk of revision at a patient-specific level...

A functional module states framework reveals transcriptional states for drug and target prediction.

Cell reports
Cells are complex systems in which many functions are performed by different genetically defined and encoded functional modules. To systematically understand how these modules respond to drug or genetic perturbations, we develop a functional module s...

Contribution of Artificial Intelligence in Pregnancy: A Scoping Review.

Studies in health technology and informatics
For the past ten years, the healthcare sector and industry has witnessed a surge in Artificial Intelligence (AI) technologies being used in many different medical specialties. Recently, AI-driven technologies have been utilized in medical care for pr...

[Comparison of hip offset and rotation center reconstruction between robot-assisted and manual total hip arthroplasty].

Zhonghua yi xue za zhi
To compare the differences of hip offset and rotation center reconstruction between robot-assisted and manual total hip arthroplasty (THA). Patients underwent robot-assisted and manual THA from May to September of 2020 in the First Affiliated Hospi...

A neural surveyor to map touch on the body.

Proceedings of the National Academy of Sciences of the United States of America
Perhaps the most recognizable sensory map in all of neuroscience is the somatosensory homunculus. Although it seems straightforward, this simple representation belies the complex link between an activation in a somatotopic map and the associated touc...

Diagnosis of Choroidal Disease With Deep Learning-Based Image Enhancement and Volumetric Quantification of Optical Coherence Tomography.

Translational vision science & technology
PURPOSE: The purpose of this study was to quantify choroidal vessels (CVs) in pathological eyes in three dimensions (3D) using optical coherence tomography (OCT) and a deep-learning analysis.

Individual identification of dairy cows based on deep learning and feature fusion.

Animal science journal = Nihon chikusan Gakkaiho
Individual identification of dairy cows is one of the most important prerequisites for an intelligent dairy farming. Herein, a new method of individual identification of dairy cows based on the fusion of deep and shallow features of dairy cow's trunk...

Strategies for Cost Optimization in Minimally Invasive Gynecologic Surgery.

JSLS : Journal of the Society of Laparoendoscopic Surgeons
BACKGROUND: Cost and quality are important, complex, and intertwined surgical outcomes. Evidence suggests that major cost drivers include operating room time, length of stay, re-admission, surgical complications, and quality of pre-operative and oper...