AIMC Topic: Humans

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Shortening image registration time using a deep neural network for patient positional verification in radiotherapy.

Physical and engineering sciences in medicine
We sought to accelerate 2D/3D image registration computation time using image synthesis with a deep neural network (DNN) to generate digitally reconstructed radiographic (DRR) images from X-ray flat panel detector (FPD) images. And we explored the fe...

Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning.

Korean journal of radiology
Artificial intelligence (AI) in radiology is a rapidly developing field with several prospective clinical studies demonstrating its benefits in clinical practice. In 2022, the Korean Society of Radiology held a forum to discuss the challenges and dra...

Criticality and clinical department prediction of ED patients using machine learning based on heterogeneous medical data.

Computers in biology and medicine
PROBLEM: Emergency triage faces multiple challenges, including limited medical resources and inadequate manual triage nurses, which cause incorrect triage, overcrowding in the emergency department (ED), and long patient waiting time.

Artificial Intelligence-Based Modeling Can Predict Face Shape Based on Underlying Craniomaxillofacial Bone.

The Journal of craniofacial surgery
Reconstructing facial deformities is often challenging due to the complex 3-dimensional (3D) anatomy of the craniomaxillofacial skeleton and overlying soft tissue structures. Bilateral injuries cannot benefit from mirroring techniques and as such pre...

New trend in artificial intelligence-based assistive technology for thoracic imaging.

La Radiologia medica
Although there is no solid agreement for artificial intelligence (AI), it refers to a computer system with intelligence similar to that of humans. Deep learning appeared in 2006, and more than 10 years have passed since the third AI boom was triggere...

[Artificial Intelligence and employee's health - new challenges].

Medycyna pracy
BACKGROUND: The presence of artificial intelligence (AI) in many areas of social life is becoming widespread. The advantages of AI are being observed in medicine, commerce, automobiles, customer service, agriculture and production in factory settings...

scTIGER: A Deep-Learning Method for Inferring Gene Regulatory Networks from Case versus Control scRNA-seq Datasets.

International journal of molecular sciences
Inferring gene regulatory networks (GRNs) from single-cell RNA-seq (scRNA-seq) data is an important computational question to find regulatory mechanisms involved in fundamental cellular processes. Although many computational methods have been designe...

Depression in South Korean Adolescents Captured by Text and Opinion Mining of Social Big Data.

International journal of environmental research and public health
Depression in adolescence is recognized as an important social and public health issue that interferes with continued physical growth and increases the likelihood of other mental disorders. The goal of this study was to examine online documents poste...

The influence of secondary resection using NeuroSAFE-technique on sexual function in unilateral nerve-sparing robot-assisted laparoscopic prostatectomies.

Scandinavian journal of urology
OBJECTIVE: To demonstrate the surgical influence of secondary resection on sexual function in finally unilateral nerve-sparing robot- assisted laparoscopic prostatectomies (RALPs) performed with the 'neurovascular structure-adjacent frozen-section ex...