Tag:
general
AI
Revitalizing Urban Spaces: A Stable Diffusion Model Framework for Automated Historical Facade Preservation
The study details the training of six LoRA models designed to generate arcade facade images using a dataset and the v1-5-pruned.safetensors base model, optimized...
AI
Large Language Models Lacking Grounding Retain Non-Sensorimotor Aspects of Human Concepts, but Struggle with Sensorimotor Features
The study examines the collection of data from large language models (LLMs) and human participants, adhering to ethical guidelines from the British Psychological Society...
AI
Multimodal Large Language Models Naturally Develop Human-like Object Concept Representations
The referenced articles explore various aspects of human image understanding, categorization, and the neural basis of visual perception. Biederman's "Recognition-by-components" theory emphasizes how shape...
AI
Enhancing Real-Time Forecasting of Infectious Diseases with Large Language Models
This collection of research highlights advances in modeling and forecasting the COVID-19 pandemic, focusing on various methodologies and interventions across different regions. Giordano et...
AI
Comprehensive Scoping Review of External Validation Studies on AI Pathology Models for Lung Cancer Diagnosis
This review identified 4,423 initial studies on AI models for lung cancer detection, supplemented by 440 additional sources. After removing duplicates, 22 studies met...
AI
Innovative Applications of AI in Psychiatry: A Historical Perspective and Future Insights
The study by Ornell et al. highlights the significant impact of the COVID-19 pandemic on mental healthcare across Brazil through an extensive epidemiological analysis....
AI
Development and Validation of an Autonomous AI Agent for Clinical Decision-Making in Oncology
This study utilized fully anonymized, publicly accessible patient data, complying with ethical standards outlined by the Declaration of Helsinki and receiving approval from the...
AI
Exploring Cancer Patient Decision-Making Journeys: Insights from Investigators and Large Language Models
The study involved 33 cancer patients (22 women, 11 men) aged 28-83, primarily diagnosed with breast cancer (42.4%), and examined their cancer care journeys...