AIMC Topic: Artificial Intelligence

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AI-DRIVEN NASOALVEOLAR MOLDING DESIGN FOR CLEFT PATIENTS MAY BE A PROMISING BUT EVOLVING APPROACH.

The journal of evidence-based dental practice
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Artificial intelligence-driven automation of nasoalveolar molding device planning: A systematic review. Alqutaibi AY, Hamadallah HH, Alassaf MS, Othman AA, Qazali AA, Alghauli MA. J Prosthet Dent. 2024 Oct...

AI-AIDED VOLUMETRIC ROOT RESORPTION ASSESSMENT FOLLOWING PERSONALIZED FORCES IN ORTHODONTICS: PRELIMINARY RESULTS OF A RANDOMIZED CLINICAL TRIAL.

The journal of evidence-based dental practice
INTRODUCTION: External apical root resorption (EARR) is an undesirable loss of hard tissues of the tooth root frequently affecting to the maxillary incisors. The magnitude of orthodontic forces is a major treatment-related factor associated with EARR...

Broadening the Net: Overcoming Challenges and Embracing Novel Technologies in Lung Cancer Screening.

American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
Lung cancer is one of the leading causes of cancer-related mortality worldwide, with most cases diagnosed at advanced stages where curative treatment options are limited. Low-dose computed tomography (LDCT) for lung cancer screening (LCS) of individu...

AI-powered precision medicine: utilizing genetic risk factor optimization to revolutionize healthcare.

NAR genomics and bioinformatics
The convergence of artificial intelligence (AI) and biomedical data is transforming precision medicine by enabling the use of genetic risk factors (GRFs) for customized healthcare services based on individual needs. Although GRFs play an essential ro...

Recent trends in diabetes mellitus diagnosis: an in-depth review of artificial intelligence-based techniques.

Diabetes research and clinical practice
Diabetes mellitus (DM) is a highly prevalent chronic condition with significant health and economic impacts; therefore, an accurate diagnosis is essential for the effective management and prevention of its complications. This review explores the late...

The potential of artificial intelligence to transform medicine.

Current opinion in pediatrics
PURPOSE OF REVIEW: Increased incorporation of artificial intelligence in medicine has raised questions regarding how it can enhance efficiency in concert with providing accurate medical information without violating patient privacy. Pediatricians sho...

The potential role of artificial intelligence to promote the participation and inclusion in physical exercise and sports for people with disabilities: A narrative review.

Journal of bodywork and movement therapies
The lack of physical activity presents a significant public health concern, particularly for individuals with disabilities who face heightened risks due to sedentary lifestyles. Despite progress, personal and environmental obstacles persist, hinderin...

Effects of an artificial intelligence-based exercise program on pain intensity and disability in patients with neck pain compared with group exercise therapy: A cohort study.

Journal of bodywork and movement therapies
OBJECTIVES: This study compares the effects of an artificial intelligence app-based exercise program with group exercise therapy on pain intensity and neck-related disability in patients with neck pain.

DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research.

IEEE transactions on visualization and computer graphics
The Digital Twin Brain (DTB) is an advanced artificial intelligence framework that integrates spiking neurons to simulate complex cognitive functions and collaborative behaviors. For domain experts, visualizing the DTB's simulation outcomes is essent...

Artificial intelligence in fetal brain imaging: Advancements, challenges, and multimodal approaches for biometric and structural analysis.

Computers in biology and medicine
Artificial intelligence (AI) is transforming fetal brain imaging by addressing key challenges in diagnostic accuracy, efficiency, and data integration in prenatal care. This review explores AI's application in enhancing fetal brain imaging through ul...