AIMC Topic: Humans

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Object Detection Based on Swin Deformable Transformer-BiPAFPN-YOLOX.

Computational intelligence and neuroscience
Object detection technology plays a crucial role in people's everyday lives, as well as enterprise production and modern national defense. Most current object detection networks, such as YOLOX, employ convolutional neural networks instead of a Transf...

A Self-Configuring Deep Learning Network for Segmentation of Temporal Bone Anatomy in Cone-Beam CT Imaging.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
OBJECTIVE: Preoperative planning for otologic or neurotologic procedures often requires manual segmentation of relevant structures, which can be tedious and time-consuming. Automated methods for segmenting multiple geometrically complex structures ca...

[Robotic Diaphragm Plication].

Zentralblatt fur Chirurgie
Acquired unilateral hemidiaphragm elevation is characterised by dyspnoea, which is typically aggravated when lying down, bending over or during swimming. The most common causes are idiopathic or due to injury to the phrenic nerve during cervical or c...

Comparison between robot-assisted versus open nephroureterectomy for upper tract urothelial carcinoma: outcomes from a pooled analysis.

Journal of robotic surgery
The present study aimed to compare the efficacy and safety between robot-assisted nephroureterectomy (RANU) and open nephroureterectomy (ONU) for the treatment of upper tract urothelial carcinoma (UTUC). We systematically searched four electronic dat...

Artificial Intelligence Autonomously Measures Cup Orientation, Corrects for Pelvis Orientation, and Identifies Retroversion From Antero-Posterior Pelvis Radiographs.

The Journal of arthroplasty
BACKGROUND: Measuring cup orientation is time consuming and inaccurate, but orientation influences the risk of impingement and dislocation following total hip arthroplasty (THA). This study designed an artificial intelligence (AI) program to autonomo...

The effect of robot-assisted walking in different modalities on cardiorespiratory responses and energy consumption in patients with subacute stroke.

Neurological research
OBJECTIVES: The aim of our study was to evaluate the effect of robot-assisted walking in different modalities on cardiorespiratory responses and energy consumption in subacute stroke patients.

An automatic and accurate deep learning-based neuroimaging pipeline for the neonatal brain.

Pediatric radiology
BACKGROUND: Accurate segmentation of neonatal brain tissues and structures is crucial for studying normal development and diagnosing early neurodevelopmental disorders. However, there is a lack of an end-to-end pipeline for automated segmentation and...