AIMC Topic: Humans

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Exploring the relationships between attitudes toward emission trading schemes, artificial intelligence, climate entrepreneurship, and sustainable performance.

Environmental science and pollution research international
The research objective of this research paper is to examine the relationships between organizational commitment to emission trading schemes, artificial intelligence, and climate entrepreneurship, as well as their impact on sustainable performance, i....

Vesicourethral Anastomosis in Transvesical Single-Port Robotic Radical Prostatectomy: A Technical Description and Perioperative Outcomes.

Journal of endourology
To describe the technical evolution and perioperative outcomes of vesicourethral anastomosis (VUA) in transvesical (TV) single-port robot-assisted radical prostatectomy (SP-RARP). A retrospective review was performed on 189 patients who underwent T...

GENERA: A Combined Genetic/Deep-Learning Algorithm for Multiobjective Target-Oriented De Novo Design.

Journal of chemical information and modeling
This study introduces a new de novo design algorithm called that combines the capabilities of a deep-learning algorithm for automated drug-like analogue design, called , with a genetic algorithm for generating molecules with desired target-oriented ...

Image Quality Improvement in Deep Learning Image Reconstruction of Head Computed Tomography Examination.

Tomography (Ann Arbor, Mich.)
In this study, we assess image quality in computed tomography scans reconstructed via DLIR (Deep Learning Image Reconstruction) and compare it with iterative reconstruction ASIR-V (Adaptive Statistical Iterative Reconstruction) in CT (computed tomogr...

The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis.

BMC medical informatics and decision making
BACKGROUND: The purpose of this paper was to systematically evaluate the application value of artificial intelligence in predicting mortality among COVID-19 patients.

DeepAIR: A deep learning framework for effective integration of sequence and 3D structure to enable adaptive immune receptor analysis.

Science advances
Structural docking between the adaptive immune receptors (AIRs), including T cell receptors (TCRs) and B cell receptors (BCRs), and their cognate antigens are one of the most fundamental processes in adaptive immunity. However, current methods for pr...

Modelling and robust controller design for an underactuated self-balancing robot with uncertain parameter estimation.

PloS one
A comprehensive literature review of self-balancing robot (SBR) provides an insight to the strengths and limitations of the available control techniques for different applications. Most of the researchers have not included the payload and its variati...