AI Medical Compendium Topic:
Pilot Projects

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Artificial intelligence versus semi-automatic segmentation of the inferior alveolar canal on cone-beam computed tomography scans: A pilot study.

Dental and medical problems
BACKGROUND: The inferior alveolar canal (IAC) is a fundamental mandibular structure. It is important to conduct a precise pre-surgical evaluation of the IAC to prevent complications. Recently, the use of artificial intelligence (AI) has demonstrated ...

New perspectives of forensic pathology through machine learning approach on autopsy data: a pilot study.

La Clinica terapeutica
BACKGROUND: The analysis, interpretation and storage of information is entrusted to the individual expert, who bases his judgments on the knowledge resulting from the experience. The aim of this experimental study is to analyse and introduce a new li...

Eichner classification based on panoramic X-ray images using deep learning: A pilot study.

Bio-medical materials and engineering
BACKGROUND: Research using panoramic X-ray images using deep learning has been progressing in recent years. There is a need to propose methods that can classify and predict from image information.

VGG19 demonstrates the highest accuracy rate in a nine-class wound classification task among various deep learning networks: a pilot study.

Wounds : a compendium of clinical research and practice
BACKGROUND: Current literature suggests relatively low accuracy of multi-class wound classification tasks using deep learning networks. Solutions are needed to address the increasing diagnostic burden of wounds on wound care professionals and to aid ...

Effect and Safety of Diluted Vasopressin Injection for Bleeding Control During Robot-assisted Laparoscopic Myomectomy in Reproductive Women With Uterine Fibroids: A Randomized Controlled Pilot Trial (VALENTINE Trial).

In vivo (Athens, Greece)
BACKGROUND/AIM: Vasopressin injected during myomectomy is known to effectively reduce bleeding but is sometimes associated with intraoperative vasoconstriction and hypertension due to systemic absorption. Although there is a growing preference for th...

Deep learning-derived 12-lead electrocardiogram-based genotype prediction for hypertrophic cardiomyopathy: a pilot study.

Annals of medicine
Given the psychosocial and ethical burden, patients with hypertrophic cardiomyopathy (HCMs) could benefit from the establishment of genetic probability prior to the test. This study aimed to develop a simple tool to provide genotype prediction for H...

Pilot study of machine learning in the task of distinguishing high and low-grade pediatric hydronephrosis on ultrasound.

Investigative and clinical urology
PURPOSE: Hydronephrosis is a common pediatric urological condition, characterized by dilation of the renal collecting system. Accurate identification of the severity of hydronephrosis is crucial in clinical management, as high-grade hydronephrosis ca...

Quantitative and Qualitative Evaluation of Exoskeleton Transparency Controllers for Upper-Limb Neurorehabilitation.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
High transparency is a fundamental requirement for upper-limb exoskeletons to promote active patient participation. Although various control strategies have been suggested to improve the transparency of these robots, there are still some limitations,...

Assessing Human-Human Kinematics for the Implementation of Robot-Assisted Physical Therapy in Humanoids: A Pilot Study.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
The development of humanoids with bimanual manipulator arms may facilitate assistive robots to perform physical therapy with older adults living at home. As we assume the human-human interaction to be the gold standard of physical therapy, we propose...