Results 181 to 190 of about 16,504,576 (273)

Multimodal Large Language Models for Dental Chart Image Interpretation: Cross-Sectional Benchmarking Study With Students and Clinicians. [PDF]

JMIR Med Educ
Cho AY, Eo SH, Jeon MJ, Kim JH, Ihm J, Seo DG.   +5 more
europepmc   +1 more source

An AI‐Driven Framework for Directed Self‐Assembly Toward Design‐Technology Co‐Optimization

Advanced Science, EarlyView.
An artificial intelligence (AI)‐driven closed‐loop framework integrates experiment, three‐dimensional physics‐based simulation, and template design for directed self‐assembly (DSA). Guided by experimental data, AI‐assisted calibration accelerates model optimization, supports morphology prediction, and identifies template windows.
Caiwei Shang, Yanting Xu, Yue Zhang, Yan Zhang, Jianfeng Li, Ming Li, Longlin Lei, Wenda Bao, Weixuan Zeng, Shisheng Xiong   +9 more
wiley   +1 more source

Performance of multimodal large language models for the detection and characterization of bone lesions on radiographs. [PDF]

Diagn Interv Radiol
Büyüktoka RE, Salbas A, Cilengir AH, Buyuktoka AD, Sürücü M, Adibelli ZH.   +5 more
europepmc   +1 more source

A Water Compartment Cell Culture Lid Enables Stable Longitudinal Recording of Neuronal Networks In Vitro

Advanced Science, EarlyView.
A cell culture lid with an integrated water compartment eliminates evaporation from microelectrode arrays while preserving gas exchange. Freed from the osmotic drift and repeated medium exchanges that disturb conventional recordings, patterned human iPSC‐derived neuronal networks are recorded continuously for five weeks. Single‐spike resolution reveals
Benedikt Maurer, Fabio Fischer, Giulia Amos, Vaiva Vasiliauskaitė, János Vörös   +4 more
wiley   +1 more source

Evaluating multimodal large language models for differential diagnosis of high myopia versus high myopia with Glaucoma. [PDF]

Front Med (Lausanne)
Yin H, Yu T, Wu W, Shen L, Shi D, Chen Y, Zhao K, Grzybowski A, Jin K.   +8 more
europepmc   +1 more source

Griffon-G: Bridging Vision-Language and Vision-Centric Tasks via Large Multimodal Models

Large Multimodal Models (LMMs) have achieved significant breakthroughs in various vision-language and vision-centric tasks based on auto-regressive modeling.
Zhao, Hongyin, Wang, Jinqiao, Yang, Fan, Zhu, Yousong, Tang, Ming, Zhan, Yufei   +5 more
core  

Deep Learning for AD Risk Screening and Progression Prediction

Advanced Science, EarlyView.
A pretrained MRI‐based deep learning model generalizes from Western cohorts to an independent Chinese cohort, detects Alzheimer's disease with high sensitivity, and identifies elevated AD risk years before diagnosis. Its risk scores align with cognition and plasma biomarkers, and individualized brain risk maps uncover clinically distinct subtypes ...
Bin Lu, Yan‐Rong Chen, Rui‐Xian Li, Ming‐Kai Zhang, Shao‐Zhen Yan, Guan‐Qun Chen, Jing‐Hua Wang, Wen‐Hui Chai, Francisco Xavier Castellanos, Paul M. Thompson, Jie Lu, Ying Han, Chao‐Gan Yan   +12 more
wiley   +1 more source

Humans Outperform Multimodal Large Language Models (MLLMs) in Non-Verbal Tests of Mental Rotation and Figural Reasoning. [PDF]

J Intell
Lesigang J, Pietschnig J.
europepmc   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

Diagnostic and localization performance of multimodal large language models in the interpretation of dental periapical radiographs. [PDF]

BMC Oral Health
Hatipoğlu Ö, Baytar M, Pertek Hatipoğlu F.   +2 more
europepmc   +1 more source