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Reassessing AI in Medicine: Exploring the Capabilities of AI in Academic Abstract Synthesis

Reassessing AI in Medicine: Exploring the Capabilities of AI in Academic Abstract Synthesis

We propose that employing Chat GPT in a “layered progressive” manner for text generation could address this issue. This method involves dividing an article into smaller sections, having Chat GPT summarize each section individually, and then compiling these summaries into a cohesive whole. Such an approach is likely to yield better results than generating a summary from the entire text.

Zijian Wang, Chunyang Zhou

J Med Internet Res 2024;26:e55920

The Ability of ChatGPT in Paraphrasing Texts and Reducing Plagiarism: A Descriptive Analysis

The Ability of ChatGPT in Paraphrasing Texts and Reducing Plagiarism: A Descriptive Analysis

Importantly, the text produced by Chat GPT may sometimes bypass conventional plagiarism checks due to its unique generation process, which is a rising ethical concern [10]. Earlier, many researchers were reporting Chat GPT as co-authors in papers but the majority of journals promptly updated their policies to forbid this practice as Chat GPT cannot be held accountable for the generated content [11].

Soheil Hassanipour, Sandeep Nayak, Ali Bozorgi, Mohammad-Hossein Keivanlou, Tirth Dave, Abdulhadi Alotaibi, Farahnaz Joukar, Parinaz Mellatdoust, Arash Bakhshi, Dona Kuriyakose, Lakshmi D Polisetty, Mallika Chimpiri, Ehsan Amini-Salehi

JMIR Med Educ 2024;10:e53308

Using ChatGPT-4 to Create Structured Medical Notes From Audio Recordings of Physician-Patient Encounters: Comparative Study

Using ChatGPT-4 to Create Structured Medical Notes From Audio Recordings of Physician-Patient Encounters: Comparative Study

Our research, in contrast, stands out by probing the reproducibility of note generation—a relatively less explored topic in existing literature. The PDQI-9 scores also highlight the overall variance in quality. In previous research, the PDQI-9 score of 26.2 was rated “terrible or bad,” versus a PDQI-9 score of 36.6, which was rated “good or excellent” [13]. In our study, the mean PDQI-9 score of 29.7 is closer to the “terrible or bad” range.

Annessa Kernberg, Jeffrey A Gold, Vishnu Mohan

J Med Internet Res 2024;26:e54419

Expressions of Individualization on the Internet and Social Media: Multigenerational Focus Group Study

Expressions of Individualization on the Internet and Social Media: Multigenerational Focus Group Study

The generation that followed the Baby Boomers, Generation X, is described as the “don't bother me“ generation, which has withdrawn into private life [34] after the political turbulence of the 1960s, which were run by the generation before. Research considered this generation to be the ”driving force behind“ new media developments, especially the internet [36]. Nevertheless, research focusing on the social media use of this generation remains scarce [37].

Gwendolyn Mayer, Simone Alvarez, Nadine Gronewold, Jobst-Hendrik Schultz

J Med Internet Res 2020;22(11):e20528