AIMC Topic: Humans

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Robotic salvage pelvic lymph node dissection for locoregional recurrence after radical prostatectomy: a single institution experience.

Scandinavian journal of urology
OBJECTIVES: To assess treatment response (PSA < 0.2 ng/ml), need for additional therapy and complication rate after robot assisted salvage pelvic lymph node dissection (sPLND).

Multi-Task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition.

IEEE transactions on pattern analysis and machine intelligence
Human pose estimation and action recognition are related tasks since both problems are strongly dependent on the human body representation and analysis. Nonetheless, most recent methods in the literature handle the two problems separately. In this ar...

Development and Validation of an Artificial Intelligence System to Optimize Clinician Review of Patient Records.

JAMA network open
IMPORTANCE: Physicians are required to work with rapidly growing amounts of medical data. Approximately 62% of time per patient is devoted to reviewing electronic health records (EHRs), with clinical data review being the most time-consuming portion.

Machine Learning Methods for Fear Classification Based on Physiological Features.

Sensors (Basel, Switzerland)
This paper focuses on the binary classification of the emotion of fear, based on the physiological data and subjective responses stored in the DEAP dataset. We performed a mapping between the discrete and dimensional emotional information considering...

Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer.

JAMA network open
IMPORTANCE: Electronic health records (EHRs) provide a low-cost means of accessing detailed longitudinal clinical data for large populations. A lung cancer cohort assembled from EHR data would be a powerful platform for clinical outcome studies.

Establish a normal fetal lung gestational age grading model and explore the potential value of deep learning algorithms in fetal lung maturity evaluation.

Chinese medical journal
BACKGROUND: Prenatal evaluation of fetal lung maturity (FLM) is a challenge, and an effective non-invasive method for prenatal assessment of FLM is needed. The study aimed to establish a normal fetal lung gestational age (GA) grading model based on d...

A convolutional neural-network framework for modelling auditory sensory cells and synapses.

Communications biology
In classical computational neuroscience, analytical model descriptions are derived from neuronal recordings to mimic the underlying biological system. These neuronal models are typically slow to compute and cannot be integrated within large-scale neu...

A deep learning method for automatic segmentation of the bony orbit in MRI and CT images.

Scientific reports
This paper proposes a fully automatic method to segment the inner boundary of the bony orbit in two different image modalities: magnetic resonance imaging (MRI) and computed tomography (CT). The method, based on a deep learning architecture, uses two...