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Dementia Care Research and Psychosocial Factors.
Alzheimers Dement
December 2024
National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Background: With increased for promoting neuroplasticity in older adults through Cognitive training (CT), the study aimed to develop culturally relevant caregiver-driven model of CT for dementia called the Individualized Cognitive Augmentation Regimen for Elderly (iCARE).
Method: The study has three phases- 1. Development Phase- Included a) literature review, b) item generation, c) expert rating, d) field trial (n = 3), and e) feedback and modification.
Morphological Study on Lenticulostriate Arteries in Patients With Middle Cerebral Artery Stenosis at 7 T MRI.
J Magn Reson Imaging
January 2025
Department of Radiology, the First Medical Center, Chinese PLA General Hospital, Beijing, China.
Background: Middle cerebral artery (MCA) stenosis affects lenticulostriate arteries (LSAs) that supply the basal ganglia. Increased spatial resolution and signal-to-noise ratio of 7 T could facilitate morphological imaging of very-small-diameter LSAs.
Purpose: To evaluate differences in morphological characteristics of LSA among different MCA stenoses.
Boosting skin cancer diagnosis accuracy with ensemble approach.
Sci Rep
January 2025
School of Information and Electronic Engineering and Zhejiang Key Laboratory of Biomedical Intelligent Computing Technology, Zhejiang University of Science and Technology, No. 318, Hangzhou, Zhejiang, China.
Skin cancer is common and deadly, hence a correct diagnosis at an early age is essential. Effective therapy depends on precise classification of the several skin cancer forms, each with special traits. Because dermoscopy and other sophisticated imaging methods produce detailed lesion images, early detection has been enhanced.
View Article and Find Full Text PDFObjective: To analyze the accuracy of ChatGPT-generated responses to common rhinologic patient questions.
Methods: Ten common questions from rhinology patients were compiled by a panel of 4 rhinology fellowship-trained surgeons based on clinical patient experience. This panel (Panel 1) developed consensus "expert" responses to each question.
Evaluation of the Usability of ChatGPT-4 and Google Gemini in Patient Education About Rhinosinusitis.
Clin Otolaryngol
January 2025
University of Health Sciences, Haydarpaşa Numune Research and Training Hospital, Department of Otorhinolaryngology, İstanbul, Turkey.
Introduction: Artificial intelligence (AI) based chat robots are increasingly used by users for patient education about common diseases in the health field, as in every field. This study aims to evaluate and compare patient education materials on rhinosinusitis created by two frequently used chat robots, ChatGPT-4 and Google Gemini.
Method: One hundred nine questions taken from patient information websites were divided into 4 different categories: general knowledge, diagnosis, treatment, surgery and complications, then asked to chat robots.
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