BACKGROUND: Artificial intelligence (AI) is transforming various fields, with health care, especially diagnostic specialties such as radiology, being a key but controversial battleground. However, there is limited research systematically examining th...
Computer methods in biomechanics and biomedical engineering
Oct 18, 2023
This article proposes a noninvasive computer-aided assessment approach based on optimized convolutional neural network for healthy and pathological voice detection. Firstly, the input voice samples are first transformed into mel-spectrogram time-freq...
PURPOSE: To improve smile esthetics, clinicians should comprehensively analyze the face and ensure that the sizes selected for the maxillary anterior teeth are compatible with the available anthropological measurements. The inter commissural (ICW), i...
OBJECTIVES: To develop and validate a multiparametric MRI-based radiomics model with optimal oversampling and machine learning techniques for predicting human papillomavirus (HPV) status in oropharyngeal squamous cell carcinoma (OPSCC).
BACKGROUND: ChatGPT, an artificial intelligence (AI) chatbot that uses natural language processing (NLP) to interact in a humanlike manner, has made significant contributions to various healthcare fields, including plastic surgery. However, its wides...
OBJECTIVES: As an increasing number of studies apply artificial intelligence (AI) algorithms in osteoarthritis (OA) detection, we performed a systematic review and meta-analysis to pool the data on diagnostic performance metrics of AI, and to compare...
Journal of magnetic resonance imaging : JMRI
Oct 18, 2023
BACKGROUND: Preoperative assessment of adverse outcomes risk in placenta accreta spectrum (PAS) disorders is of high clinical relevance for perioperative management and prognosis.
Asia-Pacific journal of clinical oncology
Oct 18, 2023
OBJECTIVE: To evaluate quality of life (QOL) after non-nerve-sparing, robot-assisted radical prostatectomy (RARP) and factors associated with worsened QOL.
Journal of biomolecular structure & dynamics
Oct 18, 2023
The identification of druggable proteins (DPs) is significant for the development of new drugs, personalized medicine, understanding of disease mechanisms, drug repurposing, and economic benefits. By identifying new druggable targets, researchers can...
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