Results 241 to 250 of about 4,054,189 (290)

MDCFT-HSM: Modality-Shift-Aware RGB-T Small-Object Detection for Low-Altitude UAV Remote Sensing. [PDF]

Sensors (Basel)
Long T, Wang Y, Yuan H, Zhang Q, Ma H, Zhou R, Wang Z, Wang F.   +7 more
europepmc   +1 more source

Artificial Intelligence Revolution: The Need for a Regulatory and Governance Framework in Dentistry

Journal of Dental Education, EarlyView.
Ehsan Jozaghi
wiley   +1 more source

Image‐Based Diagnosis of Oral Lesions: Performance of a Vision‐Language Model versus Human Clinicians

Otolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective To evaluate the real‐world diagnostic performance of a multimodal large language model (LLM) for image‐based assessment of oral mucosal lesions compared with clinicians of varying expertise. Study Design Prospective international multicenter diagnostic accuracy study.
Luigi A. Vaira, Jerome R. Lechien, Fabiola Giudici, Andrea Gasparato, Antonino Maniaci, Andrea De Vito, Fabio Maglitto, Miguel Mayo‐Yáñez, Stefania Troise, Carlos M. Chiesa‐Estomba, Guido Gabriele, Andrea Frosolini, Thomas Radulesco, Fabiana Allevi, Valentino Vellone, Umberto Committeri, Fabrizio Spallaccia, Resi Pucci, Giuseppe Consorti, Giulio Cirignaco, Salvatore Crimi, Marzia Petrocelli, Eleonora M.C. Trecca, Giannicola Iannella, Francesco Laganà, Bernardo Bianchi, Alberto Maria Saibene, Sholem Hack, Paolo Boscolo‐Rizzo, Giovanni M. Soro, Giovanni Salzano, Jerry Polesel, Giacomo De Riu   +32 more
wiley   +1 more source

CoMS-UNet: A Cohesive Multi-Scale Network for Semantic Reorganization and Scale-Aware Context Modeling in Remote Sensing Image Segmentation. [PDF]

Sensors (Basel)
Wang Y, Jiang S, Wang L, Gao B.
europepmc   +1 more source

Applications and prospects of artificial intelligence and digital medicine in pediatric nasal skull base tumors

Pediatric Investigation, EarlyView.
Pediatric nasal skull base tumors present diagnostic and therapeutic challenges due to their deep location, nonspecific symptoms, and the narrow nasal cavity in children. Although artificial intelligence (AI) and digital medicine have advanced early diagnosis, multidisciplinary treatment, and prognosis, their application in these rare tumors remains ...
Xiuping Wu, Jing Wei, Chen Liu, Pengpeng Wang, Wentong Ge, Yang Han   +5 more
wiley   +1 more source

From remote screening to precision prevention: responsible multimodal AI for risk prediction and equitable oral healthcare. [PDF]

Front Oral Health
Iglesias-Pérez HD, Gallo-Sánchez ME, López-Loachamin AS, Paccha-Melgar DA, Rivadeneira-Ahuilar JD, Luna-Ponce NI, Gallo-Achig MA, Pillajo-Villalba DM, Campuzano-Donoso M, Reytor-González C.   +9 more
europepmc   +1 more source

Artificial intelligence, equity, and pediatric neurodevelopmental disorders: A scoping review of clinical practice applications

Pediatric Investigation, EarlyView.
Artificial intelligence (AI) is being explored to support diagnosis and care for pediatric neurodevelopmental disorders, yet most tools remain in early stages of development. This scoping review identifies limited external validation, narrow population representation, and sparse equity considerations, underscoring the need for inclusive, clinically ...
Florida Uzoaru, Obinna O. Oleribe, Ucheoma Nwaozuru, Parichart Sabado   +3 more
wiley   +1 more source

LMDENet: A Lightweight RGB-IR Object Detection Network for Low-Light Remote Sensing Images. [PDF]

Sensors (Basel)
Weng T, Niu X.
europepmc   +1 more source

A comprehensive Sustainable Development Goal‐guided framework for advancing survivorship, rehabilitation, and quality of life in breast cancer patients

Precision Medical Sciences, EarlyView.
This article presents an Sustainable Development Goal‐aligned framework integrating survivorship care, rehabilitation, and quality‐of‐life strategies for breast cancer patients, emphasizing equity, gender responsiveness, and health system strengthening. It highlights multidisciplinary, patient‐centered interventions and global partnerships as essential
Emmanuel Ifeanyi Obeagu
wiley   +1 more source

Low-data cross-modal adaptation for remote sensing with proxy-enhanced multi-granularity feature caching. [PDF]

Sci Rep
Sun Y, Cheng Q, Xie W, Huang H, Gu C.
europepmc   +1 more source