AIMC Topic: Male

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Development of a Deep Learning Model for Retinal Hemorrhage Detection on Head Computed Tomography in Young Children.

JAMA network open
IMPORTANCE: Abusive head trauma (AHT) in children is often missed in medical encounters, and retinal hemorrhage (RH) is considered strong evidence for AHT. Although head computed tomography (CT) is obtained routinely, all but exceptionally large RHs ...

Efficacy of Laparoscopic Iliopubic Tract Repair Plus Transabdominal Preperitoneal Hernioplasty for Treating Inguinal Hernia After Robot-assisted Radical Prostatectomy.

Surgical laparoscopy, endoscopy & percutaneous techniques
BACKGROUND: Robot-assisted radical prostatectomy (RARP) is a risk factor for inguinal hernia (IH). Furthermore, in patients who have undergone RARP, the fibrotic scar tissue in the RARP area limits preperitoneal dissection. This study aimed to evalua...

Pain, dynamic postural control, mental health and impact of oral health in individuals with temporomandibular disorder: A cross-sectional study.

Journal of bodywork and movement therapies
INTRODUCTION: Some studies claim that functional changes in TMD affect the stomatognathic system (SS) and could contribute to the emergence of pain and changes in postural control.

Robot-assisted radical prostatectomy following holmium laser enucleation of the prostate: perioperative, functional, and oncological outcomes.

Journal of robotic surgery
Robot-assisted radical prostatectomy with previous holmium laser enucleation of the prostate is challenging, and few studies have analyzed its perioperative, functional, and oncological outcomes. Here we retrospectively evaluated 298 robot-assisted r...

Prediction of Anemia From Cerebral Venous Sinus Attenuation on Deep-Learning Reconstructed Brain Computed Tomography Images.

Journal of computer assisted tomography
OBJECTIVE: The aim of the study is to evaluate whether the prediction of anemia is possible using quantitative analyses of unenhanced cranial computed tomography (CT) with deep learning reconstruction (DLR) compared with conventional methods.

Deep learning enables automatic adult age estimation based on CT reconstruction images of the costal cartilage.

European radiology
OBJECTIVE: Adult age estimation (AAE) is a challenging task. Deep learning (DL) could be a supportive tool. This study aimed to develop DL models for AAE based on CT images and compare their performance to the manual visual scoring method.

Applying artificial intelligence algorithm in the design of a guide plate for mandibular angle ostectomy.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS
PURPOSE: Surgical guide plates can improve the accuracy of surgery, although their design process is complex and time-consuming. This study aimed to use artificial intelligence (AI) to design standardized mandibular angle ostectomy guide plates and r...

Contour-guided deep learning based deformable image registration for dose monitoring during CBCT-guided radiotherapy of prostate cancer.

Journal of applied clinical medical physics
PURPOSE: To evaluate deep learning (DL)-based deformable image registration (DIR) for dose accumulation during radiotherapy of prostate cancer patients.

Detecting representative characteristics of different genders using intraoral photographs: a deep learning model with interpretation of gradient-weighted class activation mapping.

BMC oral health
BACKGROUND: Sexual dimorphism is obvious not only in the overall architecture of human body, but also in intraoral details. Many studies have found a correlation between gender and morphometric features of teeth, such as mesio-distal diameter, buccal...

Body height estimation from automated length measurements on standing long leg radiographs using artificial intelligence.

Scientific reports
Artificial-intelligence (AI) allows large-scale analyses of long-leg-radiographs (LLRs). We used this technology to derive an update for the classical regression formulae by Trotter and Gleser, which are frequently used to infer stature based on long...