Work Force

Image-based recognition of parasitoid wasps using advanced neural networks.

Hymenoptera has some of the highest diversity and number of individuals among insects. Many of these...

Teleneurology and Artificial Intelligence in Clinical Practice.

As teleheath becomes integrated into the practice of medicine, it is important to understand the ben...

AI-Drafted Responses to Patients Reduced Clinician Burnout.

[Prediction of recurrence-free survival in lung adenocarcinoma based on self-supervised pre-training and multi-task learning].

Computed tomography (CT) imaging is a vital tool for the diagnosis and assessment of lung adenocarci...

A short report on the current landscape of Artificial Intelligence (AI) in vascular surgery in Pakistan.

This study focuses on the current applications, potential, and challenges to Artificial Intelligence...

A comprehensive exploration of artificial intelligence in orthopaedics within lower-middle-income countries: a narrative review.

Integrating Artificial Intelligence (AI) in orthopaedic within lower-middle-income countries (LMICs)...

Transplant nephropathology: Wherefrom, wherein, and whereto.

Renal pathology is a relatively recent entry in nephrology. While diseases of the kidney are old, th...

Letter to the Editor Regarding "Targeting the Future: Developing a Training Curriculum for Robotic Assisted Neurosurgery".

Influence of training and expertise on deep neural network attention and human attention during a medical image classification task.

In many different domains, experts can make complex decisions after glancing very briefly at an imag...

Contrastive pre-training and 3D convolution neural network for RNA and small molecule binding affinity prediction.

MOTIVATION: The diverse structures and functions inherent in RNAs present a wealth of potential drug...

Imagine there is no paperwork… it's easy if you try.

Artificial Intelligence (AI) applied to radiology is so vast that it provides applications ranging f...

Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical Professionals.

The emergence of Chat Generative Pre-trained Transformer (ChatGPT), a chatbot developed by OpenAI, h...

Differences in the annotation between facial images and videos for training an artificial intelligence for skin type determination.

BACKGROUND: The Grand-AID research project, consisting of GRANDEL-The Beautyness Company, the dermat...

AI for Detection of Tuberculosis: Implications for Global Health.

Tuberculosis, which primarily affects developing countries, remains a significant global health conc...

[Research on mode adjustment control strategy of upper limb rehabilitation robot based on fuzzy recognition of interaction force].

In the process of robot-assisted training for upper limb rehabilitation, a passive training strategy...

[A research on depression recognition based on voice pre-training model].

For the increasing number of patients with depression, this paper proposes an artificial intelligenc...

Lack of Data Access, but Not Availability, Hinders AI Training for High-Risk Conditions in Ontario.

Advanced disease prediction is an important step toward achieving a proactive healthcare system. New...

Proposal of a standardized training curriculum for open and robot-assisted kidney transplantation.

Standardized training programs for open (OKT) and robot-assisted kidney transplantation (RAKT) remai...

Effects of robot-assisted gait training on motor performance of lower limb in poststroke survivors: a systematic review with meta-analysis.

OBJECTIVE: This study aimed to investigate the effects of robot-assisted gait training (RAGT) on imp...

Technology in Medicine: Improving Clinical Documentation.

The association between electronic health record (EHR) documentation and physician burnout is well-k...

Artificial Intelligence Feedback for Bronchoscopy Training: Old Wine in a New Bottle or True Innovation?