British Journal of Ophthalmology

Identifying patients with poor visual outcomes after primary rhegmatogenous retinal detachment surgery using machine learning

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
The Lancet

Relationships between cannabis use and mental disorders: assessing the coherence of evidence from studies with different methodologies

dDepartment of Psychiatry and Psychotherapy, Cannabinoid Research Group, University Hospital, LMU Munich, Munich, Germany eDivision of Clinical Psychology and Psychotherapy, Charlotte ...
The Lancet

Association between exposure to digital alcohol marketing and alcohol use: a systematic review and meta-analysis

cDivision of General Internal Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA dDepartment of Health Behavior, Society and Policy, Rutgers School of Public Health, The ...
IEEE

Multimodal Sentiment Analysis of Online Product Marketing Information Based on Artificial Intelligence Neural Networks and Text Mining

Abstract: With the rise of multimodal content (such as text and images) in online product marketing, sentiment analysis techniques face increasing demands for accuracy and versatility. However, ...
IEEE

AI-Generated Versus Human Text: Introducing a New Dataset for Benchmarking and Analysis

Abstract: Artificial intelligence (AI) is increasingly embedded in our everyday lives. With the introduction of ChatGPT in November 2022 by OpenAI, people can now ask a bot to generate comprehensive ...
Journal of Medical Internet Research

Clinical Decision Support Using Speech Signal Analysis: Systematic Scoping Review of Neurological Disorders

Articles that focused on speech signal analysis for clinical decision-making were identified, and the included studies were analyzed quantitatively. A narrower scope of studies investigating ...