Results 161 to 170 of about 10,128 (293)
ABSTRACT Purpose To develop a robust deep learning framework for noncontrast‐enhanced functional lung MRI, overcoming the limitations of spectral decomposition in the presence of physiological nonstationarity. Methods We introduce VQ‐Wave (Ventilation/Q‐perfusion Waveform‐based Assessment of Variable Evolutions), a physics‐driven spatiotemporal ...
Grzegorz Bauman +3 more
wiley +1 more source
Early disease stages showed limited cortical atrophy and enrichment of synaptic and calcium signaling pathways, whereas advanced stages demonstrated widespread cortical degeneration associated with immune activation and extracellular matrix remodeling.
Yi Ji +6 more
wiley +1 more source
Multi-Object Hallucination in Vision-Language Models
Large vision language models (LVLMs) often suffer from object hallucination, producing objects not present in the given images. While current benchmarks for object hallucination primarily concentrate on the presence of a single object class rather than ...
Qian, Shengyi +7 more
core
Improving Advance Care Planning for People with Parkinson's
Movement Disorders Clinical Practice, EarlyView.
Bradley Lonergan +4 more
wiley +1 more source
Assessing ChatGPT for taxonomic and floristic studies
The advancement of biological sciences has long been closely linked to technological progress. ChatGPT, a generative artificial intelligence chatbot capable of producing human‐like conversational responses, has recently attracted attention as a potential support tool for scientific research.
Mykyta Peregrym +7 more
wiley +1 more source
CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models
Multimodal foundation models are prone to hallucination, generating outputs that either contradict the input or are not grounded by factual information.
Sun, Guangzhi +6 more
core
Next‐Generation Paleopathology: Using Commercial AI in Bioarchaeological Diagnosis
ABSTRACT Artificial intelligence encompasses computational systems capable of performing cognitive functions such as learning, reasoning, and problem‐solving. Within this domain, generative AI and large language models such as ChatGPT, Gemini, and Copilot have shown significant potential in clinical diagnostics.
Jessica Mongillo +4 more
wiley +1 more source
From dots to faces: individual differences in visual imagery capacity predict the content of Ganzflicker-induced hallucinations. [PDF]
Chkhaidze A +4 more
europepmc +1 more source
Rethinking Mitochondrial Parkinson's Disease in the α‐Synuclein Seed Amplification Assays Era
Movement Disorders, EarlyView.
Marco Percetti +3 more
wiley +1 more source

