Results 111 to 120 of about 79,639 (293)

Evaluating the Accuracy of Large Language Models in Dentistry: A Multi‐Model Study Using Clinical Questions From Turkey's Dental Specialty Exams

European Journal of Dental Education, EarlyView.
ABSTRACT Aim Artificial intelligence (AI) has become an integral part of dental education and clinical practice. While several studies have assessed the performance of ChatGPT in medical exams, comparative analyses of various large language models (LLMs) in dentistry remain scarce.
Nihan Kaya Acar, Fatih Sengul, Peris Celikel, Aziz Sahin Erdogan   +3 more
wiley   +1 more source

Synthesis, Structure, and Photophysical Properties of Platinum Compounds with Thiophene-Derived Cyclohexyl Diimine Ligands

ACS Omega, 2023
Matthew W. Greenberg, Kris M. Tulloch, Michelle E. Reynoso, Juliette L. Knapp, Farman H. Sayem, Daphne D. Bartkus, Ryan H. Lum, Christopher N. LaFratta, Joseph M. Tanski, Craig M. Anderson   +9 more
doaj   +1 more source

Cautionary note: Chatbots generate fictitious references on the topics related to oral pathology

Oral Oncology Reports
Background: While chatbots such as Chat Generative Pre-Trained Transformer (ChatGPT) and BARD have gained significant popularity in aiding researchers in crafting scientific articles, concerns persist, particularly regarding their accuracy in generating ...
Gargi Sarode, Shruti Singh, Sachin C. Sarode   +2 more
doaj   +1 more source

Bard Times, Vol. 20, No. 8 (November 15th, 1979) [PDF]

, 1979
The Official Newspaper of the Bard College Communityhttps://digitalcommons.bard.edu/times/1004/thumbnail ...
Bard College,
core  

AI‐Driven Feedback on Bitewing Radiographic Technique: A Comparative Study of Large Language Models

European Journal of Dental Education, EarlyView.
ABSTRACT Introduction Large language models (LLMs) can enhance learning engagement and accessibility, though their performance in dentistry is inconsistent. Bitewing radiographs are critical for caries detection but prone to diagnostic errors from operator positioning. This study compared the performance of four LLMs with reasoning capabilities, GPT o1,
Katharina Alves Rabelo, Laura Swinckles, Eduardo Delamare, Zhuoran Duan, Elvis Trinh, Yongpei Ma, Jinman Kim, Vesna Miletic   +7 more
wiley   +1 more source

Water chlorination increases the relative abundance of an antibiotic resistance marker in developing sourdough starters

Microbiology Spectrum
Multiple factors explain the proper development of sourdough starters. Although the role of raw ingredients and geography, among other things, have been widely studied recently, the possible effect of air quality and water chlorination on the overall ...
Pearson Lau, Swapan Jain, Gabriel G. Perron   +2 more
doaj   +1 more source

Bard Observer, Vol. 8, No. 9 (April 14, 1966) [PDF]

, 1966
The Official Publication of the Bard College Communityhttps://digitalcommons.bard.edu/observer/1046/thumbnail ...
Bard College,
core  

Do Rivals' Trade Secret Protections Affect a Firm's Trade Credit? Evidence From the Inevitable Disclosure Doctrine

European Financial Management, EarlyView.
ABSTRACT Using the staggered adoption of the Inevitable Disclosure Doctrine (IDD) across U.S. states, this study examines whether legal protection of trade secrets granted to a firm's rivals affects the firm's trade credit when it is not similarly protected.
Yi Shi, Haiyan Jiang
wiley   +1 more source

Bard Observer, Vol. 5, No. 3 (October 29, 1962) [PDF]

, 1962
The Official Publication of the Bard College Communityhttps://digitalcommons.bard.edu/observer/1017/thumbnail ...
Bard College,
core  

Can Artificial Intelligence Be Utilised to Develop Point‐of‐Care Endodontic Microbiological Technologies?

International Endodontic Journal, EarlyView.
ABSTRACT Background Primary or persistent endodontic disease is caused by microbial biofilms that irritate the pulp and periapical tissues. Extensive microbiological analyses of these biofilms and their constituent pathogens have revealed their diversity and complexity.
Ashraf F. Fouad
wiley   +1 more source