Results 141 to 150 of about 61,005 (284)

The Impact of ChatGPT on the Transformation of Research

, 2023
Nayan Deep Singh Kanwal, Horizon JHSSR, Kuala Lumpur, Malaysia   +1 more
openalex   +1 more source

Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives

Agribusiness, EarlyView.
ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza, Ibtissem Taghouti, José María Gil Roig   +2 more
wiley   +1 more source

Evaluating AI-Generated informed consent documents in oral surgery: A comparative study of ChatGPT-4, Bard gemini advanced, and human-written consents

Luigi Angelo Vaira, Jérôme R. Lechien, Antonino Maniaci, Giuseppe Tanda, Vincenzo Abbate, Fabiana Allevi, Antonio Arena, Giada Anna Beltramini, Michela Bergonzani, Alessandro Bolzoni, Salvatore Crimi, Andrea Frosolini, Guido Gabriele, Fabio Maglitto, Miguel Mayo‐Yáñez, Luigi Orrù, Marzia Petrocelli, Resi Pucci, Alberto Maria Saibene, Stefania Troise, Alessandro Tel, Valentino Vellone, Carlos M. Chiesa‐Estomba, Paolo Boscolo‐Rizzo, Giovanni Salzano, Giacomo De Riu   +25 more
openalex   +1 more source

Capability of chatbots powered by large language models to support the screening process of scoping reviews: a feasibility study. [PDF]

JAMIA Open
Nordmann K, Schaller M, Sauter S, Fischer F.   +3 more
europepmc   +1 more source

Educational Impact of Artificial Intelligence‐Navigation Surgery on Anatomical Landmark Recognition in Medical Students

Annals of Gastroenterological Surgery, EarlyView.
This study evaluated the educational impact of artificial intelligence (AI)‐navigation surgery that provides real‐time anatomical landmark recognition during laparoscopic cholecystectomy for medical students. Thirty students were randomized into surgeon‐guided, self‐learning, and AI‐learning groups, and their performance was assessed using Dice ...
Shigeo Ninomiya, Yusuke Matsunobu, Tabito Oyama, Hiroomi Takayama, Takashi Masuda, Teijiro Hirashita, Yuichi Endo, Tatsushi Tokuyasu, Masafumi Inomata   +8 more
wiley   +1 more source

Examining the Performance of ChatGPT in Comprehensive Pre-Internship Exam: The Potential of Artificial Intelligence in Medical Education. [PDF]

Health Sci Rep
Motaghi Niko M, Karbasi Z, Kazemi M, Zahmatkeshan M.   +3 more
europepmc   +1 more source

Annual Report of the 2022 National Clinical Database: Decade‐Long Trends and Current Status of Gastroenterological Surgery in Japan

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim The National Clinical Database (NCD) of Japan is the largest nationwide registry, covering over 95% of surgeries in the country. This 2022 annual report summarizes the short‐term outcomes of gastroenterological surgeries and discusses trends and insights over the past decade.
Koshi Kumagai, Arata Takahashi, Hideki Ueno, Naoki Hiki, Yoshiki Kajiwara, Tomoki Ebata, Takao Otsuka, Taro Oshikiri, Yoshihiro Kakeji, Takanori Goi, Akio Saiura, Hiroshi Saeki, Chie Tanaka, Masanori Tokunaga, Tsutomu Fujii, Satoru Matsuda, Tsunekazu Mizushima, Hiroyuki Yamamoto, Yuko Kitagawa, Ken Shirabe   +19 more
wiley   +1 more source

Development of a questionnaire for assessing the use of ChatGPT in primary and secondary disease prevention. [PDF]

Front Public Health
Angyal V, Bertalan Á, Domján P, Feith HJ, Dinya E.   +4 more
europepmc   +1 more source

Comparative Efficacy of ChatGPT and DeepSeek in Addressing Patient Queries on Gonarthrosis and Total Knee Arthroplasty

Serhat Gürbüz, Hakan Bahar, Ulaş Yavuz, Ahmet Keskin, Bulent Karslıoğlu, Yalçın Solak   +5 more
openalex   +2 more sources

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source