AIMC Topic: Humans

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EE-Explorer: A Multimodal Artificial Intelligence System for Eye Emergency Triage and Primary Diagnosis.

American journal of ophthalmology
PURPOSE: To develop a multimodal artificial intelligence (AI) system, EE-Explorer, to triage eye emergencies and assist in primary diagnosis using metadata and ocular images.

Review on challenges for robotic eye surgery; surgical systems, technologies, cost-effectiveness, and controllers.

The international journal of medical robotics + computer assisted surgery : MRCAS
In recent decades, a number of surgical systems have been developed and are applied for a growing variety of surgeries. This review will consider the significant challenges of robotic surgery for the eye. These challenges take into account the differ...

Automatic Spine Segmentation and Parameter Measurement for Radiological Analysis of Whole-Spine Lateral Radiographs Using Deep Learning and Computer Vision.

Journal of digital imaging
Radiographic examination is essential for diagnosing spinal disorders, and the measurement of spino-pelvic parameters provides important information for the diagnosis and treatment planning of spinal sagittal deformities. While manual measurement met...

Development and validation of novel nomogram to identify the candidates for extended pelvic lymph node dissection for prostate cancer patients in the robotic era.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: To determine candidates for extended pelvic lymph node dissection using a novel nomogram to assess the risk of lymph node invasion in Japanese prostate cancer patients in the robotic era.

[Robotics in Liver Surgery - Tips and Tricks].

Zentralblatt fur Chirurgie
Since minimally invasive liver surgery has proven benefits over open surgery, this technique should also be implemented more broadly in Germany. With the dramatic development in minimally invasive and robotic liver surgery, this approach has been est...

Understanding the Perceptions of Healthcare Researchers Regarding ChatGPT: A Study Based on Bidirectional Encoder Representation from Transformers (BERT) Sentiment Analysis and Topic Modeling.

Annals of biomedical engineering
In this study, we have used deep learning techniques to understand the perception of researchers in the healthcare sector about the recently introduced chat generative pre-trained transformer (ChatGPT). Ever since the launch of ChatGPT, there have be...

A machine learning analysis to evaluate the outcome measures in inflammatory myopathies.

Autoimmunity reviews
OBJECTIVE: To assess the long-term outcome in patients with Idiopathic Inflammatory Myopathies (IIM), focusing on damage and activity disease indexes using artificial intelligence (AI).

Implementation of digital home monitoring and management of respiratory disease.

Current opinion in pulmonary medicine
PURPOSE OF REVIEW: Digital respiratory monitoring interventions (e.g. smart inhalers and digital spirometers) can improve clinical outcomes and/or organizational efficiency, and the focus is shifting to sustainable implementation as an approach to de...

Evaluation of the dataset quality in gamma passing rate predictions using machine learning methods.

The British journal of radiology
OBJECTIVE: Gamma passing rate (GPR) predictions using machine learning methods have been explored for treatment verification of radiotherapy plans. However, these methods presented datasets with unbalanced number of plans having different treatment c...

Artificial lives, analogies and symbolic thought: an anthropological insight on robots and AI.

Studies in history and philosophy of science
The aim of this article is to explore the conception of artificial life forms and the interactions we have with them by paying a particular attention to the analogies that characterize them and the mental processes they give rise to. The article adop...