Results 151 to 160 of about 49,131 (211)

Early‐life anthropometry and colorectal cancer risk in adulthood: Global Cancer Update Programme (CUP Global) systematic literature review and meta‐analysis of prospective studies

International Journal of Cancer, EarlyView.
What's New? While adult anthropometry is linked to colorectal cancer (CRC) risk, associations between anthropometric measures across early‐life stages and CRC risk remain unclear. In this study, the authors systematically reviewed and meta‐analysed early‐life anthropometry and adult CRC risk across early‐life stages.
Moniek van Zutphen, Auke J. C. F. Verkaar, Fränzel J. B. van Duijnhoven, Trudy Voortman, Monica L. Baskin, Rajiv Chowdhury, Ellen Copson, Sarah J. Lewis, Lynette Hill, John Krebs, Matty P. Weijenberg, Jacob C. Seidell, Yikyung Park, Jennifer L. Baker, Mojgan Amiri, Tosca O. E. de Crom, Erand Llanaj, Amber Meulenbeld, Macarena Lara, Yuchan Mou, Vanessa L. Z. Gordon‐Dseagu, Esther M. González‐Gil, Georgios Markozannes, Konstantinos K. Tsilidis, Doris S. M. Chan, Ellen Kampman, Dieuwertje E. Kok   +26 more
wiley   +1 more source

Artificial intelligence in the diagnosis and management of gynecologic cancer

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Gynecologic cancers affect over 1.2 million women globally each year. Early diagnosis and effective treatment are essential for improving patient outcomes, yet traditional diagnostic methods often encounter limitations, particularly in low‐resource settings.
Chaiyawut Paiboonborirak, Nadeem R. Abu‐Rustum, Sarikapan Wilailak   +2 more
wiley   +1 more source

Zinner Syndrome Presenting With Chronic Pelvic Pain and Ejaculatory Dysfunction

IJU Case Reports, EarlyView.
ABSTRACT Introduction Zinner Syndrome is a rare congenital anomaly involving unilateral renal agenesis, ipsilateral seminal vesicle cyst, and ejaculatory duct obstruction. We report a symptomatic case managed conservatively. Case Presentation A 19‐year‐old male presented with 6 months of intermittent pelvic pain, dysuria, and ejaculatory discomfort ...
Tejasvi Patil, Amogh Verma, Rajat Sachdeva, Shubham Kumar, Shilpa Gaidhane, Sanjit Sah, Prakasini Satapathy, Rachana Mehta, Benjamin Wafula Simiyu, Vinay Suresh   +9 more
wiley   +1 more source

iLABMED in the AI Era: Redefining Laboratory Medicine Through ChatGPT, DeepSeek and Beyond

iLABMED, EarlyView.
Trends and future directions for laboratory medicine in the AI era.
Jiuxin Qu, Hongzhou Lu
wiley   +1 more source

The Trend of Laboratory Medicine Based on Big Data

iLABMED, EarlyView.
This paper explores the transformative role of big data technology in laboratory medicine, demonstrating its applications in quality control, automated results review, clinical decision support, and real‐world research. By integrating advanced analytics, big data can improve diagnostic accuracy, personalize treatment plans, and drive predictive ...
Chengcheng Bi, Shitao Zhou, Xiaobing Zhao, Zhen Wang, Feng Tian   +4 more
wiley   +1 more source

Some Insects Are More Equal Than Others: A Comparison of Popular Large Language Model Chatbots' Treatment of Different Insect Groups 昆虫间的不平等——主流大语言模型 (LLM) 对不同昆虫评价的比较研究

Integrative Conservation, EarlyView.
Our research demonstrates that in mirroring prevailing human biases towards different insect groups, LLM chatbots oversimplify insect diversity by predominantly restricting “bees” to honeybees and “wasps” to yellowjackets, neglecting the majority of biodiversity that includes wild bees and parasitoid wasps, while also favouring Nearctic species in ...
Marina Moser, Lars Krogmann, Dominic Wanke   +2 more
wiley   +1 more source

Performance Review of Meta LLaMa 3.1 in Thoracic Imaging and Diagnostics

iRADIOLOGY, EarlyView.
This study evaluates the diagnostic accuracy of the Meta LLaMa 3.1 model in thoracic imaging, highlighting its strengths and areas for improvement. It also compares open‐source and proprietary natural language processing models in healthcare, focusing on factors such as transparency and performance consistency.
Golnaz Lotfian, Keyur Parekh, Pokhraj P. Suthar   +2 more
wiley   +1 more source

Accuracy and reproducibility of ChatGPT responses to real‐world drug information questions

JACCP: JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY, EarlyView.
Abstract Introduction The expanding use of Chat Generative Pre‐Trained Transformer (ChatGPT, OpenAI, San Francisco, CA) for drug information may enhance access to information. However, it is crucial to assess the accuracy and reproducibility of ChatGPT responses to drug information questions, examining its utility and limitations in clinical decision ...
Shikha Khatri, Anthony Sengul, Jungyeon Moon, Cynthia A. Jackevicius   +3 more
wiley   +1 more source

AI Integration in Counseling Training: Aiding Counselors‐in‐Training in Self‐Efficacy Enhancement and Anxiety Reduction

Journal of Counseling &Development, EarlyView.
ABSTRACT This study aimed to integrate the technology into the training of counselors‐in‐training (CITs). This study examines the effectiveness of artificial intelligence (AI)‐assisted counseling training using ChatGPT in enhancing CITs’ self‐efficacy and reducing anxiety.
Dayeon Jeong, Hayeon Lee, Hyerin Yang, Jenny Chaehyun Park, Sang Min Lee   +4 more
wiley   +1 more source

Psychological First Aid by AI: Proof‐of‐Concept and Comparative Performance of ChatGPT‐4 and Gemini in Different Disaster Scenarios

Journal of Clinical Psychology, EarlyView.
ABSTRACT Objective This study aimed to evaluate the performance and proof‐of‐concept of psychological first aid (PFA) provided by two AI chatbots, ChatGPT‐4 and Gemini. Methods A mixed‐method cross‐sectional analysis was conducted using validated PFA scenarios from the Institute for Disaster Mental Health. Five scenarios representing different disaster
Jun Tat Tan, Rick Kye Gan, Carlos Alsua, Mark Peterson, Ricardo Úbeda Sales, Ann Zee Gan, José Antonio Cernuda Martínez, Pedro Arcos González   +7 more
wiley   +1 more source