Domestic Violence

Science fiction or clinical reality: a review of the applications of artificial intelligence along the continuum of trauma care.

Artificial intelligence (AI) and machine learning describe a broad range of algorithm types that can...

Machine learning to improve false-positive results in the Dutch newborn screening for congenital hypothyroidism.

OBJECTIVE: The Dutch Congenital hypothyroidism (CH) Newborn Screening (NBS) algorithm for thyroidal ...

The association of radiologic body composition parameters with clinical outcomes in level-1 trauma patients.

PURPOSE: The present study aims to assess whether CT-derived muscle mass, muscle density, and viscer...

Use of a Deep-Learning Algorithm to Guide Novices in Performing Focused Assessment With Sonography in Trauma.

Recalibration of a Deep Learning Model for Low-Dose Computed Tomographic Images to Inform Lung Cancer Screening Intervals.

IMPORTANCE: Annual low-dose computed tomographic (LDCT) screening reduces lung cancer mortality, but...

20 years of crystal hits: progress and promise in ultrahigh-throughput crystallization screening.

Diffraction-based structural methods contribute a large fraction of the biomolecular structural mode...

COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound.

As the Coronavirus Disease 2019 (COVID-19) continues to impact many aspects of life and the global h...

The Current State of Susceptibility-Weighted Imaging and Quantitative Susceptibility Mapping in Head Trauma.

Susceptibility-weighted imaging (SWI) is a MR imaging technique suited to detect structural and micr...

Effect of a deep learning-based automatic upper GI endoscopic reporting system: a randomized crossover study (with video).

BACKGROUND AND AIMS: EGD is essential for GI disorders, and reports are pivotal to facilitating post...

GPCRLigNet: rapid screening for GPCR active ligands using machine learning.

Molecules with bioactivity towards G protein-coupled receptors represent a subset of the vast space ...

Deep learning based unpaired image-to-image translation applications for medical physics: a systematic review.

. There is a growing number of publications on the application of unpaired image-to-image (I2I) tran...

Evaluation of Robotic Systems on Cytotoxic Drug Preparation: A Systematic Review and Meta-Analysis.

: With the increased prevalence of patients with cancer, the demand for preparing cytotoxic drugs wa...

[Development of a planned and monitoring robotic assistance and automation for application in orthopedics and trauma surgery].

Robot-assisted surgery offers many advantages with respect to precision and facilitation in medicine...

Robotic Single-Site Hysterectomy in Gynecologic Benign Pathology: A Systematic Review of the Literature.

Total hysterectomy is one of the most common gynecologic surgical procedures and it is mainly perfo...

Critical Device Reliability Assessment in Healthcare Services.

Medical device reliability is the ability of medical devices to endure functioning and is indispensa...

Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia.

Dementia poses a growing challenge for health services but remains stigmatized and under-recognized....

Artificial intelligence and machine learning for hemorrhagic trauma care.

Artificial intelligence (AI), a branch of machine learning (ML) has been increasingly employed in th...

[Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extensionDiretrizes para relatórios de ensaios clínicos com intervenções que utilizam inteligência artificial: a extensão CONSORT-AI].

The CONSORT 2010 statement provides minimum guidelines for reporting randomized trials. Its widespre...

Assessment of artificial intelligence (AI) reporting methodology in glioma MRI studies using the Checklist for AI in Medical Imaging (CLAIM).

PURPOSE: The Checklist for Artificial Intelligence in Medical Imaging (CLAIM) is a recently released...

User Feedback on the Use of a Natural Language Processing Application to Screen for Suicide Risk in the Emergency Department.

Suicide is the 10th leading cause of death in the USA and globally. Despite decades of research, the...

Ultra-low-dose CT lung screening with artificial intelligence iterative reconstruction: evaluation via automatic nodule-detection software.

AIM: To test the feasibility of ultra-low-dose (ULD) computed tomography (CT) combined with an artif...