AIMC Topic: Humans

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A challenge of deep-learning-based object detection for hair follicle dataset.

Journal of cosmetic dermatology
BACKGROUND: Deep-learning object detection has been applied in various industries, including healthcare, to address hair loss.

Deep learning prediction of post-SBRT liver function changes and NTCP modeling in hepatocellular carcinoma based on DGAE-MRI.

Medical physics
BACKGROUND: Stereotactic body radiation therapy (SBRT) produces excellent local control for patients with hepatocellular carcinoma (HCC). However, the risk of toxicity for normal liver tissue is still a limiting factor. Normal tissue complication pro...

A new method for measuring penile curvature based on digital images.

Journal of pediatric urology
INTRODUCTION AND OBJECTIVE: Accurate and objective assessment of penile curvature is considered a critical evaluation in patients with hypospadias, as it often determines if a 1 or 2-stage procedure should be done. Due to the ease of acquisition and ...

Comparison of short-term outcomes and survival between minimally invasive colectomy and open colectomy in patients 80 years of age and older.

Journal of robotic surgery
We investigated the short- and long-term outcomes of patients 80 years of age and older with colon cancer who underwent robotic colectomy versus laparoscopic colectomy. Data for patients treated at a comprehensive cancer center between January 2006 a...

No prostate? No problem: robotic inguinal hernia repair after prostatectomy.

Journal of robotic surgery
Traditional teaching suggests that prior pelvic operations, including prostatectomy, are a contraindication to laparoscopic inguinal hernia repair. Despite the growing use of robotic platforms in inguinal hernia repair, there are few studies describi...

An overview of the digital occlusion technologies: Intraoral scanners, jaw tracking systems, and computerized occlusal analysis devices.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.]
OBJECTIVES: Within the development of digital technologies, dental professionals aim to integrate virtual diagnostic articulated casts obtained by using intraoral scanners (IOSs), the mandibular motion of the patient recorded by using an optical jaw ...

A comparative study of the inter-observer variability on Gleason grading against Deep Learning-based approaches for prostate cancer.

Computers in biology and medicine
BACKGROUND: Among all the cancers known today, prostate cancer is one of the most commonly diagnosed in men. With modern advances in medicine, its mortality has been considerably reduced. However, it is still a leading type of cancer in terms of deat...

Recent advances in artificial intelligence applications for supportive and palliative care in cancer patients.

Current opinion in supportive and palliative care
PURPOSE OF REVIEW: Artificial intelligence (AI) is a transformative technology that has the potential to improve and augment the clinical workflow in supportive and palliative care (SPC). The objective of this study was to provide an overview of the ...

Comparison of End-to-End Neural Network Architectures and Data Augmentation Methods for Automatic Infant Motility Assessment Using Wearable Sensors.

Sensors (Basel, Switzerland)
Infant motility assessment using intelligent wearables is a promising new approach for assessment of infant neurophysiological development, and where efficient signal analysis plays a central role. This study investigates the use of different end-to-...