<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>Journal of Emergency Health Care</title>
<title_fa></title_fa>
<short_title>J Emerg Health Care</short_title>
<subject>Medical Sciences</subject>
<web_url>http://intjmi.com</web_url>
<journal_hbi_system_id>1</journal_hbi_system_id>
<journal_hbi_system_user>admin</journal_hbi_system_user>
<journal_id_issn>3092-6319</journal_id_issn>
<journal_id_issn_online>3092-6319</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi>10.22034</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid></journal_id_sid>
<journal_id_nlai></journal_id_nlai>
<journal_id_science></journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1403</year>
	<month>3</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2024</year>
	<month>6</month>
	<day>1</day>
</pubdate>
<volume>13</volume>
<number>2</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Artificial Intelligence In The Diagnosis And Treatment Of Dental Root Diseases; A Narrative Review</title>
	<subject_fa>عمومى</subject_fa>
	<subject>General</subject>
	<content_type_fa>مروری</content_type_fa>
	<content_type>Review</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;span style=&quot;font-size:12pt&quot;&gt;&lt;span style=&quot;line-height:115%&quot;&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; style=&quot;font-family:&quot; times=&quot;&quot;&gt;This narrative review explores the transformative impact of Artificial Intelligence (AI) on the diagnosis and treatment of dental root diseases. While AI models have yet to directly perform therapeutic procedures, their significant influence is witnessed across various dimensions of dental care. Focusing on endodontics, the integration of AI is examined, encompassing predictive capabilities for postoperative discomfort, enhanced diagnostic precision, and refined treatment planning. Neural network models exemplify the potential of AI to revolutionize dental diagnosis. Beyond predicting pain, AI&amp;#39;s broader applications in patient management, diagnostic dentistry, and surgical interventions are discussed, promising to reshape the landscape of dental healthcare. The continuous evolution of AI models tailored for health sciences highlights their potential to elevate dental care standards, presenting a path toward enhanced patient outcomes and innovations in dental diagnostics and treatments.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;br&gt;
&amp;nbsp;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Endodontics, Dental root, AI, Treatments, Diagnosis.</keyword>
	<start_page>1</start_page>
	<end_page>8</end_page>
	<web_url>http://intjmi.com/browse.php?a_code=A-10-1-589&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Solmaz </first_name>
	<middle_name></middle_name>
	<last_name>Mohamadi</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>10031947532846006684</code>
	<orcid>0009-0009-7863-4189.</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Operative Dentistry, School of Dentistry, Tabriz University of Medical Sciences,   Tabriz, Iran. </affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Asiyeh </first_name>
	<middle_name></middle_name>
	<last_name>Dadgar</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>10031947532846006685</code>
	<orcid>0009-0004-4515-0632</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Department of Operative Dentistry, School of Dentistry, Tabriz University of Medical Sciences, Tabriz, Iran.  </affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
