# Mapping How Artificial Intelligence Blends with Healthcare: Insights from a Bibliometric Analysis
## 3 Results
### Key Influential Factors through Bibliographic-Coupling Analysis
#### 3.1.2 Geographic Distribution of Productivity Rates  
Giving attention to the distribution of documents by their geographic location, it is important to note that the VOSviewer analysis considers the location of the authors' affiliations rather than the publishers. This approach ensures that our data reflect the actual regions where the research is being conducted, providing a more accurate representation of global research activities. Tables 4 and 5 illustrate the distribution of publications by continent and country, respectively. It is observed that Europe and Asia are the continents with the highest productivity, accounting for more than 72% of the total published studies. At the country level, the most productive are the United States and China, followed by India, the United Kingdom, Germany, and Italy. These six countries together account for half of the total publications (approximately 50.5%). \begin{table}
\begin{tabular}{c c} \hline \hline
**Continent** & **Number of Publications** \\ \hline Europe & 1158 \\ Asia & 912 \\ Americas & 725 \\ Oceania & 80 \\ Africa & 57 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Geographical distribution across continents. Figure 1: Yearly publication count. \begin{table}
\begin{tabular}{c c} \hline \hline
**Country** & **Number of Publications** \\ \hline United States & 536 \\ China & 238 \\ India & 237 \\ United Kingdom & 179 \\ Germany & 156 \\ Italy & 138 \\ Canada & 103 \\ Spain & 87 \\ Netherlands & 72 \\ France & 68 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Allocation across the top ten most prolific countries. Figure 2 illustrates the interconnected networks between countries regarding publications in the literature on AI's role in the medical industry. In our analysis, to rectify inaccuracies concerning the countries of publication, we created a thesaurus file. This file facilitated the merging of terms referring to the same country. For instance, \"U.S.A.\" was merged with \"USA\" and \"United States\"; \"Republic of Ireland\" with \"Ireland\"; \"west ger\", \"West Germany\", \"Hamburg Germany\" and \"Deutschland\" with \"Germany\"; \"Ind\" with \"India\"; and \"U.A.E.\" with \"United Arab Emirates\". The network of relations encompassed a total of 106 countries. However, five countries were excluded as they lacked any developed relations with other countries. Through analysis using the VOSviewer software (version 1.6.20), we identified 14 distinct network clusters of cooperating countries at the publication level. Many of these clusters consisted of neighboring countries. Table 6 displays countries organized by cluster and color, mirroring the map's presentation. Countries in bold indicate the highest level of contribution in terms of publications compared to all other countries in the same cluster. \begin{table}
\begin{tabular}{l l} \hline \hline
**Cluster (Color)** & **Countries** \\ \hline \multirow{3}{*}{1 (Red)} & Albania, Austria, Bosnia and Herzegovina, Bulgaria, Czech Republic, \\  & Estonia, Finland, Greece, Nigeria, North Macedonia, **Poland**, Portugal, \\  & Serbia, Slovakia, Sweden \\ \hline \multirow{2}{*}{2 (Green)} & **Australia,** Bahrain, Bangladesh, Brazil, Chile, Iraq, Japan, Jordan, Malaysia, \\  & Qatar, Saudi Arabia, Tunisia, United Arab Emirates, Yemen \\ \hline \multirow{2}{*}{3 (Blue)} & Algeria, Angola, Colombia, Ecuador, Mexico, New Zealand, Oman, Pakistan, \\  & Panama, Puerto Rico, South Korea, **Spain** \\ \hline \multirow{2}{*}{4 (Yellow)} & Egypt, Indonesia, Kyrgyzstan, Latvia, Moldova, **Netherlands**, Romania, \\  & Syrian Arab Republic, Ukraine \\ \hline \multirow{2}{*}{5 (Purple)} & Canada, Hungary, Lebanon, Luxembourg, Macao, Russian federation, South Africa, Thailand, **United States** \\ \hline \multirow{2}{*}{6 (Light Blue)} & **India**, Kenya, Nepal, Slovenia, Turkey, Uruguay \\ \hline \multirow{2}{*}{7 (Orange)} & Belgium, Cyprus, **Germany**, Ghana, Israel, Singapore, Tanzania \\ \hline \multirow{2}{*}{8 (Brown)} & Ireland, Liechtenstein, Lithuania, Malta, **Norway** \\ \end{tabular}
\end{table}