AIMC Topic: Humans

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Modeling acute care utilization: practical implications for insomnia patients.

Scientific reports
Machine learning models can help improve health care services. However, they need to be practical to gain wide-adoption. In this study, we investigate the practical utility of different data modalities and cohort segmentation strategies when designin...

Identifying congenital generalized lipodystrophy using deep learning-DEEPLIPO.

Scientific reports
Congenital Generalized Lipodystrophy (CGL) is a rare autosomal recessive disease characterized by near complete absence of functional adipose tissue from birth. CGL diagnosis can be based on clinical data including acromegaloid features, acanthosis n...

The role of artificial intelligence in the treatment of obstructive sleep apnea.

Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale
BACKGROUND: The first-line and most common treatment for obstructive sleep apnea is nasal continuous positive airway pressure, which serves as a pneumatic splint to stabilize the upper airway and is effective when used with appropriate adherence. Con...

Automating the Standardized Cosmesis and Health Nasal Outcomes Survey Classification with Convolutional Neural Networks.

Facial plastic surgery & aesthetic medicine
Currently, the aesthetic appearance and structure of the nose in a rhinoplasty patient is evaluated by a surgeon, without automation. To compare the assessment of convolutional neural networks (CNNs) (machine learning) and a rhinoplasty surgeon's i...

Deep learning-based prediction model for postoperative complications of cervical posterior longitudinal ligament ossification.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
PURPOSE: Postoperative complication prediction helps surgeons to inform and manage patient expectations. Deep learning, a model that finds patterns in large samples of data, outperform traditional statistical methods in making predictions. This study...

Spatiotemporal analysis of speckle dynamics to track invisible needle in ultrasound sequences using convolutional neural networks: a phantom study.

International journal of computer assisted radiology and surgery
PURPOSE: Accurate needle placement into the target point is critical for ultrasound interventions like biopsies and epidural injections. However, aligning the needle to the thin plane of the transducer is a challenging issue as it leads to the decay ...

How well can an AI chatbot infer personality? Examining psychometric properties of machine-inferred personality scores.

The Journal of applied psychology
The present study explores the plausibility of measuring personality indirectly through an artificial intelligence (AI) chatbot. This chatbot mines various textual features from users' free text responses collected during an online conversation/inter...

Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: An integrative review.

International journal of mental health nursing
An integrative review investigating the incorporation of artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health care settings was undertaken of published literature between 2016 and 2021 across six data...

Robotic Burch colposuspension: anatomical and technical considerations.

International urogynecology journal
INTRODUCTION AND HYPOTHESIS: Up to 13.6% of women will undergo surgical treatment for stress urinary incontinence during their lifetime. Midurethral slings are the mainstay of stress incontinence treatment; however, diversity of surgical options is n...

Deep learning-based automatic pipeline for quantitative assessment of thigh muscle morphology and fatty infiltration.

Magnetic resonance in medicine
PURPOSE: Fast and accurate thigh muscle segmentation from MRI is important for quantitative assessment of thigh muscle morphology and composition. A novel deep learning (DL) based thigh muscle and surrounding tissues segmentation model was developed ...