AIMC Topic: Humans

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Making sense of the French public hospital system: a network-based approach to hospital clustering using unsupervised learning methods.

BMC health services research
BACKGROUND: Hospitals in the public and private sectors tend to join larger organizations to form hospital groups. This increasingly frequent mode of functioning raises the question of how countries should organize their health system, according to t...

WBC-based segmentation and classification on microscopic images: a minor improvement.

F1000Research
Introduction White blood cells (WBCs) are immunity cells which fight against viruses and bacteria in the human body. Microscope images of captured WBCs for processing and analysis are important to interpret the body condition. At present, there is no...

Gender differences in under-reporting hiring discrimination in Korea: a machine learning approach.

Epidemiology and health
OBJECTIVES: This study was conducted to examine gender differences in under-reporting hiring discrimination by building a prediction model for workers who responded "not applicable (NA)" to a question about hiring discrimination despite being eligibl...

Cell-morphodynamic phenotype classification with application to cancer metastasis using cell magnetorotation and machine-learning.

PloS one
We define cell morphodynamics as the cell's time dependent morphology. It could be called the cell's shape shifting ability. To measure it we use a biomarker free, dynamic histology method, which is based on multiplexed Cell Magneto-Rotation and Mach...

Artificial Intelligence: the future of medicine, or an overhyped and dangerous idea?

Irish journal of medical science
INTRODUCTION: Contemporary discourse on Artificial Intelligence (AI) in medicine is oft-sensationalised to the point of bearing no resemblance to its everyday impact and potential - either to proselytise it as a saviour or to condemn its perilous, am...

Conversions in pediatric robot-assisted laparoscopic surgery.

Journal of pediatric surgery
BACKGROUND: New technology attracts necessary concerns regarding safety and effectiveness, including the risk and circumstances of conversions. This study analyses our 11-year experience of conversions from a dedicated pediatric robot-assisted laparo...

Prognostic Value of Vitamin D Serum Levels in Cutaneous Melanoma.

Actas dermo-sifiliograficas
INTRODUCTION: Vitamin D plays a fundamental role in many metabolic pathways, including those involved in cell proliferation and the immune response. Serum levels of this vitamin have been linked to melanoma risk and prognosis. This study aimed to ass...

Deep learning-assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge.

European radiology
OBJECTIVES: To assess Prostate Imaging Reporting and Data System (PI-RADS)-trained deep learning (DL) algorithm performance and to investigate the effect of data size and prior knowledge on the detection of clinically significant prostate cancer (csP...

Development and validation of a supervised deep learning algorithm for automated whole-slide programmed death-ligand 1 tumour proportion score assessment in non-small cell lung cancer.

Histopathology
AIMS: Immunohistochemical programmed death-ligand 1 (PD-L1) staining to predict responsiveness to immunotherapy in patients with advanced non-small cell lung cancer (NSCLC) has several drawbacks: a robust gold standard is lacking, and there is substa...