Tag: artificial-intelligence · clear
58 items — page 1 of 3
The adaptive learning taxonomy for responsible large language model integration in higher education.
Machine Learning-Based Predictive Model for Grade 3 Primary Graft Dysfunction Following Lung Transplantation: A Retrospective Cohort Study.
Integrative Single-Cell RNA Sequencing and Machine Learning Reveals Candidate Plasma Protein-Associated Gene Signatures for Osteoporosis: A Preliminary Exploratory in Silico Study.
Performance of large language models in data extraction for evidence synthesis: A systematic review.
What Would Be the Ideal Robotic Companion in Orthopaedic Surgery in 10 Years?
House price prediction using a hybrid GRU-MLP based on binary whale optimization algorithm and ant colony optimization for hyperparameter tuning.
Retinal Pigment Epithelium and Microglia Transplantation in Age-related Macular Degeneration.
Quality and Reliability of YouTube Videos on Earthquake Preparedness: A Cross-Sectional Analysis.
Feature Importance and Growth Rate Prediction in SiC PVT Processes through Advanced Machine Learning Models
Silicon carbide is a key wide-bandgap semiconductor material for next-generation power electronics, yet the Physical Vapor Transport (PVT) method used for bulk crystal growth remains constrained by complex thermal-chemi…
EEG-based automated evaluation of automotive sound quality using ensemble deep learning.
Recognition of everyday activities using experiment data from wearable sensors: a deep learning-based framework.
Rapid identification of feline sporotrichosis by ATR-FTIR spectroscopy coupled with machine learning.
Group boarding for airplanes: benchmarking static policies and optimizing dynamic assignment with deep reinforcement learning
Improving boarding efficiency reduces airplane turnaround time and improves passenger experience. Airlines typically assign passengers to a few sequential boarding groups using static seat-based rules. Yet arrivals, sea…
Deep learning-based detection of acid-fast bacilli in microscopy images: a systematic review.
Diagnostic Performance of Large Language Models for Orthopedic-Related Rare Diseases and Their Impact on Physicians' Diagnostic Accuracy: 2-Stage Comparative Evaluation Study Based on the Chinese Rare Disease Catalog.
Predicting gross-total resection in skull base chondrosarcoma: a multi-institutional machine learning study.
Ensemble Machine Learning for Malaria Diagnosis in Resource-Limited Settings Using Clinical and Demographic Features.
Capturing Inner Experience At Scale: An AI Interviewer Co-Developed with the Founder of a Landmark Phenomenological Method
Subjective experience is central to psychological science, yet methods for studying it force a choice between depth and scale. Classical Experience sampling, as in ecological momentary assessments (EMA), captures experi…
Conspiracy Theory Rabbit Holes Emerge via Interacting Contagions
Why do people fall into conspiracy theory rabbit holes? Prior research explains rabbit holes via psychological and algorithmic causes, yielding inconsistent findings. Here, we argue that rabbit holes can also arise from…
Art as an Algorithmic Virus: Unifying the Generative Crash and AI Value Convergence via Cognitive Affordances
Generative AI inherently triggers a computational failure mode in human observers (a "generative crash") due to a lack of latent intentionality required for Inverse Reinforcement Learning (IRL) convergence. Artistic app…
Art as an Algorithmic Virus: Unifying the Generative Crash and AI Value Convergence via Cognitive Affordances
Generative AI inherently triggers a computational failure mode in human observers (a "generative crash") due to a lack of latent intentionality required for Inverse Reinforcement Learning (IRL) convergence. Artistic app…