Results 91 to 100 of about 34,912 (272)

Evaluating Large Language Models for the National Premedical Exam in India: Comparative Analysis of GPT-3.5, GPT-4, and Bard

JMIR Medical Education
BackgroundLarge language models (LLMs) have revolutionized natural language processing with their ability to generate human-like text through extensive training on large data sets.
Faiza Farhat, Beenish Moalla Chaudhry, Mohammad Nadeem, Shahab Saquib Sohail, Dag Øivind Madsen   +4 more
doaj   +1 more source

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

Advanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu, Kexing Li, Yuge Wang, Hongyu Li, Hongyu Zhao   +4 more
wiley   +1 more source

Unveiling GPT-4V's hidden challenges behind high accuracy on USMLE questions: Observational Study

Journal of Medical Internet Research
BackgroundRecent advancements in artificial intelligence, such as GPT-3.5 Turbo (OpenAI) and GPT-4, have demonstrated significant potential by achieving good scores on text-only United States Medical Licensing Examination (USMLE ...
Zhichao Yang, Zonghai Yao, Mahbuba Tasmin, Parth Vashisht, Won Seok Jang, Feiyun Ouyang, Beining Wang, David McManus, Dan Berlowitz, Hong Yu   +9 more
doaj   +1 more source

Signs of consciousness in AI: Can GPT-3 tell how smart it really is?

Humanities and Social Sciences Communications
The emergence of artificial intelligence (AI) is transforming how humans live and interact, raising both excitement and concerns—particularly about the potential for AI consciousness.
Ljubiša Bojić, Irena Stojković, Zorana Jolić Marjanović   +2 more
semanticscholar   +1 more source

UBE2T‐Driven p53 Degradation Rewires Glycolysis to Orchestrate Lactylation‐Mediated CAFs Activation and ECM Deposition in Pancreatic Cancer

Advanced Science, EarlyView.
This study integrates multi‐omics to reveal the critical role of UBE2T in driving malignancy and stromal co‐evolution in PDAC. UBE2T potentiates glycolysis by regulating p53 degradation via a positive feedback loop, thereby promoting histone H3 lysine 18 lactylation in CAFs and stromal deposition. The UBE2T inhibitor PGG represents a potential strategy
Yong Ma, Wenbo Liu, Mingdou Li, Tao Wang, Bin Zhao, Keshen Wang, Qichen He, Haonan Sun, Huiguo Qing, Xiaoying Guan, Wengui Shi, Long Qin, Yuman Dong, Huinian Zhou, Zeyuan Yu, Xiangyan Jiang, Zuoyi Jiao   +16 more
wiley   +1 more source

Potential of ChatGPT in youth mental health emergency triage: Comparative analysis with clinicians

PCN Reports
Aim Large language models, such as GPT‐4, are increasingly integrated into healthcare to support clinicians in making informed decisions. Given ChatGPT's potential, it is necessary to explore such applications as a support tool, particularly within ...
Samanvith Thotapalli, Musa Yilanli, Ian McKay, William Leever, Eric Youngstrom, Karah Harvey‐Nuckles, Kimberly Lowder, Steffanie Schweitzer, Erin Sunderland, Daniel I. Jackson, Emre Sezgin   +10 more
doaj   +1 more source

Применение генеративных нейросетей в журналистике: проблемы и перспективы

Динамика медиасистем, 2023
Применение искусственного интеллекта в журналистике (роботизированная журналистика) – тема резонансная и популярная в исследованиях. Современные алгоритмы в редакции способны выполнять некоторые функции авторов новостных и развлекательных текстов, дата ...
Василиса Бейненсон
doaj  

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

The performance of GPT-3.5 and GPT-4 on genetic tests at PhD-level: GPT-4 as a promising tool for genomic medicine and education [PDF]

Journal of Clinical and Basic Research
Background: Natural Language Processing (NLP) has empowered AI models to understand and generate human language, with transformer-based architectures like GPT-3 and GPT-4 marking significant advancements. GPT-4, equipped with a larger parameter count and
Teymoor Khosravi, Arian Rahimzadeh, Farzaneh Motallebi, Fatemeh Vaghefi, Zainab Mohammad Al Sudani, Morteza Oladnabi   +5 more
doaj  

Trauma triage performance of large language models on raw Turkish emergency notes: Artificial intelligence versus human expertise

Hong Kong Journal of Emergency Medicine
Objectives Large language models, such as GPT‐4o, have demonstrated potential in clinical decision‐making; however, their reliability in high‐stakes environments, including emergency department triage, remains uncertain.
İbrahim Sarbay, Melike Mercan Başpinar, Keith Grimes, Asım Bedri Erdem, Yunus Emre Gemici, Taha Yilmaz, Alper Görkem Çimen, Fatih Aslan, Mustafa Çalik   +8 more
doaj   +1 more source