Results 101 to 110 of about 19,687,691 (268)

LINS: A general medical Q&A framework for enhancing the quality and credibility of LLM-generated responses

Nature Communications
Large language models can lighten the workload of clinicians and patients, yet their responses often include fabricated evidence, outdated knowledge, and insufficient medical specificity.
Sheng Wang, Fangyuan Zhao, Dechao Bu, Yunwei Lu, Ming Gong, Hongjie Liu, Zhaohui Yang, Xiaoxi Zeng, Zhiyuan Yuan, Baoping Wan, Jingbo Sun, Yang Wu, Lianhe Zhao, Xirun Wan, Wei Huang, Tao Wang, Mengtong Xu, Jianjun Luo, Jingjia Liu, Jianjun Zheng, Wei Zhang, Kang Zhang, Hongjia Zhang, Shu Wang, RunSheng Chen, Yi Zhao   +25 more
doaj   +1 more source

Medical faculty members’ perception of smartphones as an educational tool

BMC Medical Education, 2019
Background The rapid adoption of modern technology has changed many aspects of our life and communication; it has the power to influence and change the way we teach, learn and practice different types of professions mainly teaching and health care ...
Oqab Jabali, Munther Saeedi, Ghada Shbeitah, Abed Alkarim Ayyoub   +3 more
doaj   +1 more source

Flow Enabled Target Capture Halbach‐based magnetic enrichment increases circulating tumor cell capture from blood in metastatic cancer patients

Molecular Oncology, EarlyView.
Pair‐wise comparison of the CellSearch and FETCH enrichment technologies for circulating tumor cells (CTCs) from metastatic breast, prostate, and small cell lung cancer patients shows an increased capture of CTCs using FETCH enrichment. The clinical implementation of circulating tumor cells (CTCs) as a predictive tool for therapy efficacy in the ...
Michiel Stevens, Anouk Mentink, Tom Niessink, Frank Coumans, Leonie Mekenkamp, Ruchi Bansal, Jeroen Hiltermann   +6 more
wiley   +1 more source

MedVH: Toward Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context

Advanced Intelligent Systems
Large vision language models (LVLMs) have achieved superior performance on natural image and text tasks, inspiring extensive fine‐tuning research. However, their robustness against hallucination in clinical contexts remains understudied.
Zishan Gu, Jiayuan Chen, Fenglin Liu, Changchang Yin, Ping Zhang   +4 more
doaj   +1 more source

Rapid Review of Generative AI in Smart Medical Applications

International Journal of Computer Science and Information Technology
With the continuous advancement of technology, artificial intelligence has significantly impacted various fields, particularly healthcare. Generative models, a key AI technology, have revolutionized medical image generation, data analysis, and diagnosis. This article explores their application in intelligent medical devices.
Yuan Sun, Jorge Ortiz 0001
openaire   +2 more sources

Recommendation to improve the availability of medical laboratory services in general medical practice in Northeast Bulgaria [PDF]

, 2016
In recent years in our country there are ongoing changes in the outpatient healthcare services bound up with disbalance in the territorial distribution of medical and diagnostic structures.
Georgieva, Emiliya Petrova; Medical College, Medical University of Varna
core   +2 more sources

USP29‐regulated noncanonical stabilization of the hypoxia‐inducible factor‐α in aggressive prostate cancer

Molecular Oncology, EarlyView.
We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober, Leire Moreno‐Cugnon, Laura Martínez‐Pérez, Amaia Ercilla, Amaia Zabala‐Letona, Adrián Vicente‐Barrueco, Maider Fagoaga‐Eugui, Saioa Garcia‐Longarte, Blanca Calle‐Ciborro, Encarnación Pérez‐Andrés, Onintza Carlevaris, Sara Pozo, Isabel Mendizabal, Ugo Mayor, Arkaitz Carracedo, Violaine Sée, Edurne Berra   +16 more
wiley   +1 more source

Leveraging foundation and large language models in medical artificial intelligence

Chinese Medical Journal
. Recent advancements in the field of medical artificial intelligence (AI) have led to the widespread adoption of foundational and large language models.
Io Nam Wong, Olivia Monteiro, Daniel T. Baptista-Hon, Kai Wang, Wenyang Lu, Zhuo Sun, Sheng Nie, Yun Yin, Jing Ni   +8 more
doaj   +1 more source

Ganetic loss for generative adversarial networks with a focus on medical applications

Neural Computing and Applications
Abstract Generative adversarial networks (GANs) are machine learning models that are used to estimate the underlying statistical structure of a given dataset and, as a result, can be used for a variety of tasks, such as image generation or anomaly detection.
Shakhnaz Akhmedova, Nils Körber
openaire   +4 more sources

Finding novel vulnerabilities of hypomorphic BRCA1 alleles

Molecular Oncology, EarlyView.
Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder, Klaas de Lint, Hồ Mỹ Phúc Võ, Mariana M. Góis, Rosalie A. Kampen, Marta San Martin Alonso, Ilse Nootenboom, Veronica Garzero, Tiemen J. Wendel, Rob M. F. Wolthuis, Sylvie M. Noordermeer   +10 more
wiley   +1 more source