Results 211 to 220 of about 178,762 (313)

Use and Perceptions of Large Language Models Among Dental Students: Implications for Dental Education

open access: yesJournal of Dental Education, EarlyView.
ABSTRACT Purpose This study aimed to quantify the prevalence and use cases of large language models (LLMs) among dental students, estimate perceived usefulness (learning enhancement; time saved), characterize concerns (accuracy, ethics/integrity, appropriateness), and derive actionable implications for curriculum and clinical training.
Dhruv Khurana   +5 more
wiley   +1 more source

PTSD and Audio Vestibular Symptoms: A Two-Way Street Driven by the Amygdala? A Speculative Hypothesis. [PDF]

open access: yesBrain Sci
Roccamatisi D   +5 more
europepmc   +1 more source

Deciphering nodal burden in thyroid carcinoma: A dedicated survey of age, lymph node ratio, log odds of positive nodes, and preoperative prediction models

open access: yesJournal of Intelligent Medicine, EarlyView.
Abstract Evidence regarding the prognosis of thyroid carcinoma is heterogeneous, ranging from age effects and nodal burden metrics, such as lymph node ratio (LNR) and log odds of positive nodes (LODDS), to preoperative imaging models comprising ultrasound, CEUS, and radiomics.
Mennatallah Sherif   +2 more
wiley   +1 more source

Clinical Feasibility of Deep Learning Contrast Synthesis From MR Fingerprinting in Knee Osteoarthritis

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative parameter mapping from which synthetic clinical contrast images can be derived using deep learning (DL). Purpose This study evaluates the reliability and interchangeability of MRF‐derived synthetic knee MRI relative to conventional MRI in patients with osteoarthritis.
Mika T. Nevalainen   +9 more
wiley   +1 more source

Shaping the Future of Radiography Education: Lessons From ChatGPT and Generative AI

open access: yesJournal of Medical Radiation Sciences, EarlyView.
ChatGPT can provide structured guidance, support self‐assessment and scaffold learning processes that bridge classroom knowledge and clinical expectations. However, AI must be embedded in ways that uphold the core principles of radiographic practice: accuracy, reflective judgment, ethical reasoning, empathy and patient‐centred care.
Minh T. Chau   +5 more
wiley   +1 more source

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