May 3, 2026

ACEP26 Technology Courses

AI is changing emergency medicine in complex ways. Learn how to stay at the forefront of this new wave at ACEP26 CME courses.

AI and Malpractice

Speaker: Tayab Waseem

As AI makes it way through medicine, it will likely soon effect the way lawyers review charts. This lecture will look at the challenges associated with using AI.

AI-Augmented Clinical Pathways: From Theory to Implementation - A Hands-On Workshop

Speaker: Tehreem Rehman

This interactive 2-hour workshop provides emergency physicians with practical, hands-on experience in developing and implementing AI-augmented clinical pathways. Participants will work through real-world scenarios using cutting-edge AI tools for evidence synthesis, pathway design, and implementation planning. The workshop combines clinical informatics principles with change management strategies, equipping attendees to lead pathway initiatives in their emergency departments. Through case-based learning and guided exercises, participants will create actionable pathway frameworks for common ED conditions like VTE, sepsis, and stroke, while addressing health equity and workflow optimization challenges.

AI's Blind Spots: Navigating the Ethical Minefield of Algorithmic Medicine

Speaker: Brian Patterson

In an era of rapid technological advancement, artificial intelligence promises transformative potential in emergency medicine. However, beneath the surface of cutting-edge algorithms lie complex legal, ethical, and societal challenges that demand critical examination. This focused presentation will unpack the nuanced landscape of AI ethics, exploring how inherent biases, legal frameworks, and fundamental medical principles intersect with emerging technological capabilities. Emergency physicians will gain a understanding of the critical considerations that must guide responsible AI integration, ensuring patient safety, equitable care, and maintaining the human-centered core of medical practice.

Ambient AI: Your Surroundings Are Listening

Speaker: Tricia Smith

Artificial intelligence (AI) is both the bogeyman and panacea for all that ails emergency physicians. This lecture will discuss AI in the setting of ambient listening and the ethical and legal issues which may arise. The audience will learn about how ambient listening is designed to create a medical record. The lecturer will describe legal issues that may arise, such as incorrect transcription or availability of multiple medical-legal documents. The lecturer will discuss when ambient listening should be discontinued and how to build guardrails for your emergency department. The audience will be more comfortable with using ambient listening in their daily practice and will understand the benefits and limitations of its current design.

Beyond the Band-Aid: The Central Role of Emergency Medicine in HIV and HCV Prevention and Treatment

Speakers: Erica Valdovinos, Amanda Castel, Ethan Cowan, Ashley Coleman, Andrew Meltzer

Widely acknowledged for their role in the safety net, emergency departments (EDs) often absorb gaps in the healthcare system. But far beyond the role of a “band-aid” for public health challenges, emergency departments can play a proactive, leadership role in the screening and treatment of HIV, HCV, and syphilis. Despite longstanding guidelines regarding opt-out testing for HIV and HCV, uptake in emergency departments remains low. This session will showcase data-driven approaches to automated opt-out screening and linkage to care including AI-enabled risk stratification, EHR automation, collaboration with local health departments, and linkage to comprehensive prevention services, along with real-world examples of ED based opt-out screening and linkage to care initiatives. Panelists will highlight implementation lessons, impact on health equity, and scalable models that other EDs can adapt.

Cardiac Intelligence: AI-Powered Diagnosis and Technologies

Speaker: Jesse McLaren

How are individual technologies being used in emergency cardiology? How does wearable technology help us at the bedside and for our patients? Can AI augment interpretation in ECGs and how accurate are they? Come learn about the current and future states of technology in cardiology.

Early Evidence On The Effectiveness of Artificial Intelligence Implementation in Emergency Departments

Speakers: Jesse Pines, Rohit Sangal, Amer Aldeen, Tehreem Rehman

The panelists will discuss the evidence in the literature and their own personal experience in implementation of clinical AI programs in emergency medicine. Areas of focus will include ambient AI for chart documentation sharing the experience across six vendors in a large physician group, patient-facing AI in an academic ED, and the use of AI-augmented triage in an academic EDs. With AI tools rapidly transitioning from conceptual models to production use, there is an urgent need to synthesize early outcomes and share implementation lessons from real-world environments.” Sort of says why the session is timely and needed today. Following a short presentation by each panelist, audience questions will be answered and addressed, led by an experienced moderator with domain knowledge in successful emergency medicine interventions.

Innovations in Women's Health from the 'Wild West' to Precision Medicine - What Every Emergency Physician Should Know

Speakers: Basmah Safdar, Alyson McGregor, Jeannette Wolfe, Marna Greenberg

Traveling medical shows in the late 1800’s peddling unproven “medical cures” ultimately triggered the development of early drug regulation and the FDA. Consumers now face similar challenges as they sort through science and scams. As emergency physicians it is critical to parse out truth in science to best inform and treat our patients. Dissecting the vast body of literature to identify credible sources in women’s health, i.e. diseases that are different, disproportionate, or unique to women, can be a challenge for emergency physicians. Content experts will review innovations in artificial intelligence and biomes that uncover new sex-specific signals in topics such as aging and brain health. Additionally, they will review how Femtech and Venture Capital are bringing precision-based diagnostics, therapeutics and prognostics in women’s health to the mainstream. Finally, the panel will discuss the current landscape of investment and funding opportunities related to research and clinical innovations in women’s health.

Is ESI Dead? Examining the Potential for AI to Transform Emergency Department Triage

Speakers: Andrew Taylor, DJ Apakama, Ethan Abbott

The Emergency Severity Index (ESI) has served as the national standard for more than twenty years, providing an effective framework for millions of emergency department ED visits each year. As patient volumes continue to rise and clinical complexity grows, the field has increasingly explored whether modern data-driven methods can support safer and more accurate triage decisions. Over the last several years, multiple lines of research have shown the promise of machine learning and AI in this domain. Studies leveraging structured EHR data, vital signs, utilization patterns, and clinical context have demonstrated improved prediction of short-term return visits, critical illness, and hospital admission. More recently, real-world deployments of AI-informed triage recommendations have shown shifts in acuity distribution, more precise identification of high-risk patients, and measurable improvements in patient flow. This State-of-the-Art session will bring together leaders and researchers in triage science, AI development to examine the future of triage in EM. We will synthesize the existing literature, discuss current vendor-based solutions, and present data from our own large-scale AI triage research to demonstrate how next-generation tools could be safely and transparently integrated into clinical workflows. We will explore what a hybrid human–AI triage systems and what this evolution means for emergency medicine practice, operational efficiency, and patient outcomes. This SOTA will highlight preliminary research findings that leveraged nearly 1,000,000 ED triage encounters from the Mount Sinai Health system to examine how an AI-augmented system that can impact ESI and prediction of deterioration.

POCUS AI - Today's Hype vs. Tomorrow's Reality

Speakers: Michael Gottlieb, Rachel Liu, Cristiana Baloescu, Michael Blaivas, John Bailitz

Join our panel of experts as we rigorously evaluate the evidence behind AI-assisted POCUS, cutting through the hype to address the clinical realities of acquisition, interpretation, and workflow integration. We will navigate the complex balance between democratizing ultrasound for novice users and mitigating risks like automation bias and deskilling, reshaping how we approach competency and education. Finally, this session offers actionable strategies to overcome implementation barriers while ensuring safe and collaborative development for the future of POCUS.

Unequal By Design: Understanding and Eliminating Racial Bias in Dagnostic and Therapeutic Systems in Emergency Medicine

Speakers: Marcee Wilder, Donald Apakama, Dinushika Mohottige, Lynne D. Richardson, Patrick Maher

Bias due to racial constructs continues to distort diagnostic accuracy, treatment decisions, and resource allocation across the American healthcare landscape. Emergency physicians frequently deal with the effects of these inequities during clinical care. This session will explore examples of racial bias in multiple aspects of medical care, including race-adjusted eGFR calculations, melanin-related inaccuracies in pulse oximetry, inequities in pain treatment and opioid prescribing, and the bias embedded in emerging artificial intelligence (AI) clinical tools. Expert panelists will review the historical origins of these phenomena and explain how they affect emergency department care. They will also highlight efforts to remove or reform biased practices and provide practical bedside strategies for attendees to improve care for all patients today while advocating for equitable systems in the future.

AI Workshop (Non-CME)

Speakers: TBA

AI Events Event Meetings Patient Care Tools and Research Practice Management