<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:psc="http://podlove.org/simple-chapters" xmlns:podcast="https://podcastindex.org/namespace/1.0"><channel><title><![CDATA[AAEP]]></title><description><![CDATA[<p>Real conversations from the front lines of emergency psychiatry.</p><p><br /></p><p>Brought to you by the American Association for Emergency Psychiatry (AAEP), this podcast features clinicians, leaders, and experts working at the intersection of behavioral health, emergency medicine, and crisis response.</p><p><br /></p><p>Each episode highlights practical insights, real-world experiences, and the evolving best practices shaping how we care for individuals in crisis — in emergency departments, communities, and systems across the country.</p><p><br /></p><p><br /></p>]]></description><link>https://aaep.memberclicks.net</link><generator>Riverside.fm (https://riverside.com)</generator><lastBuildDate>Tue, 13 Oct 2026 02:48:13 GMT</lastBuildDate><atom:link href="https://api.riverside.com/hosting/73kwug9B.rss" rel="self" type="application/rss+xml"/><author><![CDATA[American Association For Emergency Psychiatry]]></author><pubDate>Sun, 22 Mar 2026 22:06:48 GMT</pubDate><copyright><![CDATA[2026 American Association For Emergency Psychiatry]]></copyright><language><![CDATA[en]]></language><ttl>60</ttl><category><![CDATA[Medicine]]></category><category><![CDATA[Mental Health]]></category><itunes:author>American Association For Emergency Psychiatry</itunes:author><itunes:summary>&lt;p&gt;Real conversations from the front lines of emergency psychiatry.&lt;/p&gt;&lt;p&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;Brought to you by the American Association for Emergency Psychiatry (AAEP), this podcast features clinicians, leaders, and experts working at the intersection of behavioral health, emergency medicine, and crisis response.&lt;/p&gt;&lt;p&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;Each episode highlights practical insights, real-world experiences, and the evolving best practices shaping how we care for individuals in crisis — in emergency departments, communities, and systems across the country.&lt;/p&gt;&lt;p&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;&lt;br /&gt;&lt;/p&gt;</itunes:summary><itunes:type>episodic</itunes:type><itunes:owner><itunes:name>American Association For Emergency Psychiatry</itunes:name><itunes:email>donnyson82@yahoo.com</itunes:email></itunes:owner><itunes:explicit>no</itunes:explicit><itunes:category text="Health &amp; Fitness"><itunes:category text="Medicine"/><itunes:category text="Mental Health"/></itunes:category><itunes:image href="https://hosting-media.riverside.com/media/podcasts/d22c3305-109a-4da1-bd23-0727d5c6a6dc/logos/d1bd041e-0ca5-4228-b6fb-507001dab4d5.png"/><item><title><![CDATA[AAEP Episode 2]]></title><description><![CDATA[<p>In this podcast episode, Donaldson Betts, Mike Wilson, and Jack Rozel discuss the implications of AI in healthcare, particularly in suicide prevention. They explore the current limitations of AI, the complexities of predicting suicidal behavior, and the importance of human involvement in clinical decision-making.</p><p><br /></p><p>Takeaways</p><ul><li>AI's role in healthcare is complex</li><li>Human involvement is crucial in AI applications</li></ul><p><br /></p><p>Chapters</p><ul><li>00:00 Introduction to AI in Healthcare</li><li>03:09 The Current State of AI and Suicide Prevention</li><li>06:00 Challenges in Predicting Suicide Risk</li><li>09:01 The Complexity of Human Behavior</li><li>11:53 Ethical Dilemmas in AI Predictions</li><li>14:45 Practical Applications of AI in Clinical Settings</li><li>18:00 Concerns About AI in Patient Care</li><li>21:08 The Future of AI in Healthcare</li></ul>]]></description><guid isPermaLink="false">d7007350-3128-4138-83d0-959673ad3aaf</guid><dc:creator><![CDATA[American Association For Emergency Psychiatry]]></dc:creator><pubDate>Sun, 04 Oct 2026 21:11:13 GMT</pubDate><enclosure url="https://api.riverside.com/hosting-analytics/media/4021c0655317ff432fa9b38abdc5ac05219d103c4b6a3d1299ed5d3e4b821d80/eyJlcGlzb2RlSWQiOiJkNzAwNzM1MC0zMTI4LTQxMzgtODNkMC05NTk2NzNhZDNhYWYiLCJwb2RjYXN0SWQiOiJkMjJjMzMwNS0xMDlhLTRkYTEtYmQyMy0wNzI3ZDVjNmE2ZGMiLCJhY2NvdW50SWQiOiI2OTNlYzhhOWU3MWYzY2M5YTA0OGFjNWIiLCJwYXRoIjoibWVkaWEvY2xpcHMvNmFjMmMwN2Y1YzlkNGUzODBhZGQ3NzhmL2RvbmFsZHNvbi1iZXR0c3Mtc3R1ZGlvLTIwMjYtMTAtNF9fMjEtMTEtMTUubXAzIn0=.mp3" length="64752056" type="audio/mpeg"/><podcast:transcript url="https://hosting-media.riverside.com/media/podcasts/d22c3305-109a-4da1-bd23-0727d5c6a6dc/episodes/d7007350-3128-4138-83d0-959673ad3aaf/transcripts.txt" type="text/plain"/><itunes:summary>&lt;p&gt;In this podcast episode, Donaldson Betts, Mike Wilson, and Jack Rozel discuss the implications of AI in healthcare, particularly in suicide prevention. They explore the current limitations of AI, the complexities of predicting suicidal behavior, and the importance of human involvement in clinical decision-making.&lt;/p&gt;&lt;p&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;Takeaways&lt;/p&gt;&lt;ul&gt;&lt;li&gt;AI&apos;s role in healthcare is complex&lt;/li&gt;&lt;li&gt;Human involvement is crucial in AI applications&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;Chapters&lt;/p&gt;&lt;ul&gt;&lt;li&gt;00:00 Introduction to AI in Healthcare&lt;/li&gt;&lt;li&gt;03:09 The Current State of AI and Suicide Prevention&lt;/li&gt;&lt;li&gt;06:00 Challenges in Predicting Suicide Risk&lt;/li&gt;&lt;li&gt;09:01 The Complexity of Human Behavior&lt;/li&gt;&lt;li&gt;11:53 Ethical Dilemmas in AI Predictions&lt;/li&gt;&lt;li&gt;14:45 Practical Applications of AI in Clinical Settings&lt;/li&gt;&lt;li&gt;18:00 Concerns About AI in Patient Care&lt;/li&gt;&lt;li&gt;21:08 The Future of AI in Healthcare&lt;/li&gt;&lt;/ul&gt;</itunes:summary><itunes:explicit>no</itunes:explicit><itunes:duration>00:33:43</itunes:duration><itunes:image href="https://hosting-media.riverside.com/media/podcasts/d22c3305-109a-4da1-bd23-0727d5c6a6dc/logos/d1bd041e-0ca5-4228-b6fb-507001dab4d5.png"/><itunes:season>1</itunes:season><itunes:episode>2</itunes:episode><itunes:title>AAEP Episode 2</itunes:title><itunes:episodeType>full</itunes:episodeType></item></channel></rss>