Results 221 to 230 of about 141,350 (263)

Evaluation of GPT-5 for Esophageal Cancer Staging Using Fluorodeoxyglucose Positron Emission Tomography Maximum-Intensity Projection Images: Comparative Pilot Study.

JMIR Cancer
Maruyama H, Toyama Y, Araki Y, Takanami K, Ito M, Nakajima Y, Takase K, Kamei T.   +7 more
europepmc   +1 more source

Evaluating the role of ChatGPT in structured radiology reporting: A systematic review. [PDF]

Medicine (Baltimore)
Alalawi S, Alchoghari R, Hakami A, Alhazmi A, Almutari E, Asseiri R, Alzahrani A, Aladhyani M, Alqarni S, Al-Sharydah AM.   +9 more
europepmc   +1 more source

EnzRetro: Enzymatic Retrosynthetic Planning With Site‐Specific Reaction Edits Based on Sequence Generative Architecture

Exploration, EarlyView.
EnzRetro bridges retrosynthesis planning and enzymatic engineering through site‐specific reaction edits. This end‐to‐end framework integrates pathway synthesis and enzyme identification into a unified process, achieving superior accuracy and enabling the efficient reconstruction of diverse biosynthetic pathways.
Yahui Cao, Haoshu Chen, Tao Zhang, Xin Zhao, Bingzhi Li, Xiangrui Zheng   +5 more
wiley   +1 more source

Integrating GPT-4o Into Data Mining in Neurosurgery: Feasibility and Proof-of-Concept Study. [PDF]

JMIR Form Res
Almeida Sales AH, Beck J, Grauvogel J.
europepmc   +1 more source

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, EarlyView.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source

Multimodal large language models for oral lesion diagnosis: a systematic review of diagnostic performance and clinical utility. [PDF]

Front Oral Health
Hassanein FEA, Alkabazi M, Tassoker M, Ahmed Y, Alsaeed S, Abou-Bakr A.   +5 more
europepmc   +1 more source

Predicting and Preventing Turnover in Industry 4.0: Understanding the Impact of Artificial Intelligence Adoption on Employee Turnover

Human Resource Development Quarterly, EarlyView.
ABSTRACT With the increasing adoption of Artificial Intelligence (AI) in the workplace, employees' career paths have become more diverse and less predictable in the era of Industry 4.0. As technological transformations accelerate, employee turnover patterns are also changing, as reflected in the growing prevalence of occupational transitions and large ...
Young‐Kook Moon, Tanya Mitropoulos
wiley   +1 more source

Large Language Models Evaluation of Medical Licensing Examination Using GPT-4.0, ERNIE Bot 4.0, and GPT-4o. [PDF]

Bioengineering (Basel)
Lian L, Luo X, Chipusu K, Ashraf MA, Wong KKL, Zhang W.   +5 more
europepmc   +1 more source

Adherens junction protein expression is associated with poor response to neoadjuvant FLOT chemotherapy and pro‐inflammatory tumor microenvironment in esophageal adenocarcinoma

International Journal of Cancer, EarlyView.
What's New? Esophageal adenocarcinoma (EAC) is an aggressive cancer with poor survival and variable response to perioperative chemotherapy. Although histopathological features correlate with outcomes, the relationship specifically between adherens junction (AJ) protein expression and treatment response in EAC remains uncertain.
Bastian Grothey, Heike Löser, Tillmann Bedau, Wolfgang Schröder, Christiane J. Bruns, Thomas Zander, Max Krämer, Reinhard Büttner, Alexander Quaas   +8 more
wiley   +1 more source