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Prognostic model for log odds of negative lymph node in locally advanced rectal cancer via interpretable machine learning.

Scientific reports
No studies have examined the prognostic value of the log odds of negative lymph nodes/T stage (LONT) in locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiotherapy (nCRT). We aimed to assess the prognostic value of LONT and devel...

Explainable multiscale temporal convolutional neural network model for sleep stage detection based on electroencephalogram activities.

Journal of neural engineering
Humans spend a significant portion of their lives in sleep (an essential driver of body metabolism). Moreover, as sleep deprivation could cause various health complications, it is crucial to develop an automatic sleep stage detection model to facilit...

Algorithm, expert, or both? Evaluating the role of feature selection methods on user preferences and reliance.

PloS one
The integration of users and experts in machine learning is a widely studied topic in artificial intelligence literature. Similarly, human-computer interaction research extensively explores the factors that influence the acceptance of AI as a decisio...

The More, the Better? Evaluating the Role of EEG Preprocessing for Deep Learning Applications.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
The last decade has witnessed a notable surge in deep learning applications for electroencephalography (EEG) data analysis, showing promising improvements over conventional statistical techniques. However, deep learning models can underperform if tra...

Analysing the Suitability of Artificial Intelligence in Healthcare and the Role of AI Governance.

Health care analysis : HCA : journal of health philosophy and policy
In recent years, artificial intelligence (AI) has become more important in healthcare. It has the ability to completely change how patients are diagnosed, treated, and cared for. To make sure AI is properly supervised in healthcare, many problems nee...

Validation of a fully automatic assessment of volume changes in the mandibular condyles following bimaxillary surgery.

International journal of oral and maxillofacial surgery
This study was performed to propose and validate a fully automatic assessment of volume changes in the mandibular condyles following orthognathic surgery. Two sets of cone beam computed tomography scans were included: one with segmentations of comple...

Hearing loss configurations in low- and middle-income countries.

International journal of audiology
OBJECTIVE: The majority of individuals with hearing loss worldwide reside in low- and middle-income countries (LMICs), but there is limited information regarding the characteristics of hearing loss in these regions. This descriptive study aims to add...

Counting coins in the dark-Austrian, German, and Swiss medical students' perceptions of radiology.

European radiology
OBJECTIVES: To investigate the overall attitude of medical students towards radiology, their perceptions of the university curriculum, the clinical relevance, and the prospects within the specialty, as well as identify reasons for and against choosin...

Enhanced ISUP grade prediction in prostate cancer using multi-center radiomics data.

Abdominal radiology (New York)
BACKGROUND: To explore the predictive value of radiomics features extracted from anatomical ROIs in differentiating the International Society of Urological Pathology (ISUP) grading in prostate cancer patients.