## 5 Results: Quantitative Analysis and Most Important Publications
### A Deeper Discussion of Papers in MainReview\({}_{New}\)
\begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt} p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Title** & **Ref.** & **Source** & **Subject** & **AI Model** & **Date** & **Focus** \\ \hline The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective & [37] & Scopus & Business Management & CHATGpt & April. 2024 & Applications \\ \hline ChatGPT in healthcare: A taxonomy and systematic review & [10] & Scopus, PubMed & **Computer Science,**Medicine & CHATGpt & Mar 2024 & Application, impact \\ \hline Opportunities and challenges for ChatGPT and large language models in biomedicine and health & [11] & Scopus, PubMed & **Computer Science,**Medicine & CHATGpt & Jan. 24 & Role, impact \\ \hline Implications of large language models such as ChatGPT for dental medicine & [38] & Scopus, PubMed & Medicine (Dental) & CHATGpt & Oct. 2023 & Non-technical Issues \\ \hline Summary of ChatGPT-Related research and perspective towards the future of large language models & [39] & Scopus & Not present in SR & CHATGpt & Sep. 2023 & Non-technical Issues \\ \hline Creation and Adoption of Large Language Models in Medicine & [7] & Scopus, PubMed & Not present in SJR & LLM & Sep. 2023 & Clinical Issues \\ \hline Large language models in medicine & [40] & Scopus, PubMed & Biochemistry, genetics & LLM & Jul. 2023 & Clinical aspects \\ \hline The Role of AI in Drug Opportunies, Challenges, Opportunities, and Strategies & [41] & Scopus & Molecular Medicine, Drug Discovery, and Pharmaceutical Science & CHATGpt & Jun. 2023 & Medical and clinical impact \\ \hline Transformers in medical image segmentation: A review & [8] & Scopus & **Computer Science, Engineering and Medicine** & Transformer & Jul. 2023 & AI model applied to medicine \\ \hline Attention is not all you need: the complicated case of ethically using large language models in healthcare and medicine & [42] & Scopus, PubMed & Biochemistry Genetics and Molecular Biology and Medicine & LLM & Apr. 2023 & Ethical and practical discussion \\ \hline ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns & [6] & Scopus & health care systems, industry, technology, policy, and regulation & CHATGpt & Mar. 2023 & benefit and limitation \\ \hline Ethical Considerations of Using ChatGPT in Health Care & [9] & Scopus, PubMed & Health Informatics (Medicine) & CHATGpt & Aug. 2023 & Impact of AI \\ \hline ChatGPT A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope & [43] & Scopus & **Computer Science and Electrical and Electronic Engineering** & CHATGpt and AI & Apr. 2023 & Technology and ethic \\ \hline Shifting machine learning for healthcare to deployment and from models to data & [44] & Scopus, PubMed & Biochemistry, Genetics and Molecular Biology, Chemical Engineering (Bioengineering), Computer Science Applications, Biomedical Engineering and Medicine. & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 11: Summary of papers belonging to \(Review_{New}\). through data-centric approaches while identifying key obstacles that need to be addressed for their successful integration into clinical practice. The above analysis, given the nature of a citation count that is cumulative, is not able to capture very recent publications since they cannot accumulate enough citation to overcome the threshold. Although mechanisms have been implemented to mitigate this issue--we considered citation by year instead of the raw value--very recent publications, even those demonstrating a positive trend, cannot be included in the previous list. In order to make previous analysis more complete, we selected the papers published in 2024 that have more than 25 citation (that means more than 25 citation for year) and discussed those not already included in _ReviewNew_. [PERSON] et al. [45], with 34 citations at the time of writing, presented a comprehensive survey on transformers for deep learning tasks.