AIMC Topic: Humans

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Gynecologic Surgical Subspecialty Training Decreases Surgical Complications in Benign Minimally Invasive Hysterectomy.

Journal of minimally invasive gynecology
STUDY OBJECTIVE: To evaluate the impact of gynecologic subspecialty training on surgical outcomes in benign minimally invasive hysterectomies (MIHs) while accounting for surgeon volume.

Telemedicine network latency management system in 5G telesurgery: a feasibility and effectiveness study.

Surgical endoscopy
BACKGROUND: Network latency is the most important factor affecting the performance of telemedicine. The aim of the study is to assess the feasibility and efficacy of a novel network latency management system in 5G telesurgery.

Using Natural Language Processing to Identify Stigmatizing Language in Labor and Birth Clinical Notes.

Maternal and child health journal
INTRODUCTION: Stigma and bias related to race and other minoritized statuses may underlie disparities in pregnancy and birth outcomes. One emerging method to identify bias is the study of stigmatizing language in the electronic health record. The obj...

Enhancing Pressure Injury Surveillance Using Natural Language Processing.

Journal of patient safety
OBJECTIVE: This study assessed the feasibility of nursing handoff notes to identify underreported hospital-acquired pressure injury (HAPI) events.

Deep Learning Prediction Boosts Phosphoproteomics-Based Discoveries Through Improved Phosphopeptide Identification.

Molecular & cellular proteomics : MCP
Shotgun phosphoproteomics enables high-throughput analysis of phosphopeptides in biological samples. One of the primary challenges associated with this technology is the relatively low rate of phosphopeptide identification during data analysis. This ...

Novel application of convolutional neural networks for artificial intelligence-enabled modified moving average analysis of P-, R-, and T-wave alternans for detection of risk for atrial and ventricular arrhythmias.

Journal of electrocardiology
BACKGROUND: T-wave alternans (TWA) analysis was shown in >14,000 individuals studied worldwide over the past two decades to be a useful tool to assess risk for cardiovascular mortality and sudden arrhythmic death. TWA analysis by the modified moving ...

Relationship between external and internal load indicators and injury using machine learning in professional soccer: a systematic review and meta-analysis.

Research in sports medicine (Print)
This study verified the relationship between internal load (IL) and external load (EL) and their association on injury risk (IR) prediction considering machine learning (ML) approaches. Studies were included if: (1) participants were male professiona...

Pestalotiopols E-J, Six New Polyketide Derivatives from a Marine Derived Fungus sp. SWMU-WZ04-1.

Marine drugs
Chemical epigenetic cultivation of the sponge-derived fungus sp. SWMU-WZ04-1 contributed to the identification of twelve polyketide derivatives, including six new pestalotiopols E-J (-) and six known analogues (-). Their gross structures were deduce...