Results 211 to 220 of about 63,655 (291)

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Decision-Oriented Dialogue for Human-AI Collaboration

Transactions of the Association for Computational Linguistics
Jessy Lin, Nicholas Tomlin, Jacob Andreas, Jason Eisner   +3 more
doaj   +1 more source

The role of socio-emotional attributes in enhancing human-AI collaboration. [PDF]

Front Psychol
Kolomaznik M, Petrik V, Slama M, Jurik V.   +3 more
europepmc   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Human-AI collaboration in large language model-assisted brain MRI differential diagnosis: a usability study. [PDF]

Eur Radiol
Kim SH, Wihl J, Schramm S, Berberich C, Rosenkranz E, Schmitzer L, Serguen K, Klenk C, Lenhart N, Zimmer C, Wiestler B, Hedderich DM.   +11 more
europepmc   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

Human-AI Collaboration for Remote Sighted Assistance: Perspectives from the LLM Era. [PDF]

Future Internet
Yu R, Lee S, Xie J, Billah SM, Carroll JM.   +4 more
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Prioritizing human-AI collaboration in healthcare: the TRIAD framework for trustworthy governance, real-world, and integrated adaptive deployment. [PDF]

Mil Med Res
Li J, Zhou ZC, Wang ZC, Lv H.
europepmc   +1 more source

Incremental Learning to Personalize Human Activity Recognition Models: The Importance of Human AI Collaboration. [PDF]

Sensors (Basel), 2019
Siirtola P, Röning J.
europepmc   +1 more source