AIMC Topic: Consensus
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Artificial intelligence and smile design: An e-Delphi consensus statement of ethical challenges.
Journal of prosthodontics : official journal of the American College of Prosthodontists
Apr 24, 2024
PURPOSE: Smile design software increasingly relies on artificial intelligence (AI). However, using AI for smile design raises numerous technical and ethical concerns. This study aimed to evaluate these ethical issues.
Consensus statements on the current landscape of artificial intelligence applications in endoscopy, addressing roadblocks, and advancing artificial intelligence in gastroenterology.
Gastrointestinal endoscopy
Apr 17, 2024
BACKGROUND AND AIMS: The American Society for Gastrointestinal Endoscopy (ASGE) AI Task Force along with experts in endoscopy, technology space, regulatory authorities, and other medical subspecialties initiated a consensus process that analyzed the ...
Pediatric endoscopy: how can we improve patient outcomes and ensure best practices?
Expert review of gastroenterology & hepatology
Mar 12, 2024
INTRODUCTION: Strategies to promote high-quality endoscopy in children require consensus around pediatric-specific quality standards and indicators. Using a rigorous guideline development process, the international Pediatric Endoscopy Quality Improve...
Minimum labelling requirements for dermatology artificial intelligence-based Software as Medical Device (SaMD): A consensus statement.
The Australasian journal of dermatology
Feb 28, 2024
BACKGROUND/OBJECTIVES: Artificial intelligence (AI) holds remarkable potential to improve care delivery in dermatology. End users (health professionals and general public) of AI-based Software as Medical Devices (SaMD) require relevant labelling info...
A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection.
IEEE transactions on neural networks and learning systems
Feb 5, 2024
Single-cell RNA sequencing (scRNA-seq) technology is famous for providing a microscopic view to help capture cellular heterogeneity. This characteristic has advanced the field of genomics by enabling the delicate differentiation of cell types. Howeve...
The openOCHEM consensus model is the best-performing open-source predictive model in the First EUOS/SLAS joint compound solubility challenge.
SLAS discovery : advancing life sciences R & D
Feb 3, 2024
The EUOS/SLAS challenge aimed to facilitate the development of reliable algorithms to predict the aqueous solubility of small molecules using experimental data from 100 K compounds. In total, hundred teams took part in the challenge to predict low, m...
A clinical consensus-compliant deep learning approach to quantitatively evaluate human in vitro fertilization early embryonic development with optical microscope images.
Artificial intelligence in medicine
Jan 19, 2024
The selection of embryos is a key for the success of in vitro fertilization (IVF). However, automatic quality assessment on human IVF embryos with optical microscope images is still challenging. In this study, we developed a clinical consensus-compli...
Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study.
Journal of medical Internet research
Jan 12, 2024
BACKGROUND: The systematic review of clinical research papers is a labor-intensive and time-consuming process that often involves the screening of thousands of titles and abstracts. The accuracy and efficiency of this process are critical for the qua...
Distributed continuous-time accelerated neurodynamic approaches for sparse recovery via smooth approximation to L-minimization.
Neural networks : the official journal of the International Neural Network Society
Jan 10, 2024
This paper develops two continuous-time distributed accelerated neurodynamic approaches for solving sparse recovery via smooth approximation to L-norm minimization problem. First, the L-norm minimization problem is converted into a distributed smooth...
TISBE: A Public Web Platform for the Consensus-Based Explainable Prediction of Developmental Toxicity.
Chemical research in toxicology
Jan 10, 2024
Despite being extremely relevant for the protection of prenatal and neonatal health, the developmental toxicity (Dev Tox) is a highly complex endpoint whose molecular rationale is still largely unknown. The lack of availability of high-quality data a...
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