AIMC Topic: Humans

Clear Filters Showing 35611 to 35620 of 95995 articles

Performance of Generative Large Language Models on Ophthalmology Board-Style Questions.

American journal of ophthalmology
PURPOSE: To investigate the ability of generative artificial intelligence models to answer ophthalmology board-style questions.

Efficient evaluation of photodynamic therapy on tumor based on deep learning.

Photodiagnosis and photodynamic therapy
Photodynamic therapy (PDT) is a non-invasive treatment method for treating tumors. Under laser irradiation, photosensitizers in tumor tissues generate biotoxic reactive oxygen, which can kill tumor cells. The traditional live/dead staining method of ...

Technological machines and artificial intelligence in nursing practice.

Nursing & health sciences
This article is a theoretical discourse about technological machines and artificial intelligence, highlighting their effective interactive outcomes in nursing. One significant influence is technological efficiency which positively affects nursing car...

Representation of time-varying and time-invariant EMR data and its application in modeling outcome prediction for heart failure patients.

Journal of biomedical informatics
OBJECTIVE: To represent a patient record with both time-invariant and time-varying features as a single vector using an end-to-end deep learning model, and further to predict the kidney failure (KF) status and mortality of heart failure (HF) patients...

Hold My Hand: Development of a Force Controller and System Architecture for Joint Walking with a Companion Robot.

Sensors (Basel, Switzerland)
In recent years, there has been a growing interest in the development of robotic systems for improving the quality of life of individuals of all ages. Specifically, humanoid robots offer advantages in terms of friendliness and ease of use in such app...

Effect of Gait Speed on Trajectory Prediction Using Deep Learning Models for Exoskeleton Applications.

Sensors (Basel, Switzerland)
Gait speed is an important biomechanical determinant of gait patterns, with joint kinematics being influenced by it. This study aims to explore the effectiveness of fully connected neural networks (FCNNs), with a potential application for exoskeleton...

Combined mechanistic modeling and machine-learning approaches in systems biology - A systematic literature review.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Mechanistic-based Model simulations (MM) are an effective approach commonly employed, for research and learning purposes, to better investigate and understand the inherent behavior of biological systems. Recent advancements ...

Predicting Neoadjuvant Chemotherapy Response and High-Grade Serous Ovarian Cancer From CT Images in Ovarian Cancer with Multitask Deep Learning: A Multicenter Study.

Academic radiology
RATIONALE AND OBJECTIVES: Accurate prediction neoadjuvant chemotherapy (NACT) response in ovarian cancer (OC) is essential for personalized medicine. We aimed to develop and validate a deep learning (DL) model based on pretreatment contrast-enhanced ...