Conversation on Deep Medicine and AI for Health
Monday | November 11, 2024 | 11:00 – 12:00
Abstract: Healthcare organizations today are navigating a complex landscape of challenges, including workforce shortages, staff burnout, aging populations, shifting care utilization patterns, increased regulations, and economic pressures. In response, hospitals, payers, and other healthcare companies are increasingly turning to advanced technologies—such as artificial intelligence (AI), virtual and augmented reality, robotics, and telemedicine—to enhance training and education, improve patient engagement, optimize clinical decision-making, and increase administrative efficiency.
The potential of AI in healthcare has gained significant momentum, especially with the rise of deep learning and generative AI. Tech giants have introduced AI-driven products and services aimed at reducing administrative burdens for caregivers, improving the quality and efficiency of clinical operations, and boosting productivity in drug discovery.
However, the adoption of these technologies is not without challenges. Digital health funding has slowed, and the use of virtual care has declined post-COVID-19 pandemic. Many clinicians remain cautious about integrating AI into clinical practice, while lawmakers and experts have raised concerns about the safety risks associated with rapid technology rollouts. Additionally, the emergence of isolated automation within clinical workflows, without proper coordination and efficacy measures, poses a significant challenge. The increasing adoption of internet-connected devices in healthcare also heightens the risk of cyberattacks, threatening care delivery and patient data privacy.
This panel brings together a distinguished group of hospital administrators, systems innovators, clinical chairs, and AI researchers. Their diverse expertise and perspectives will provide a comprehensive and multifaceted discussion on the current state and future directions of AI in healthcare. The panel will explore critical topics such as the barriers to AI adoption, strategies to build trust and enhance safety, and the evolving role of AI in medical research and clinical practice. Attendees will gain a comprehensive understanding of how AI and other emerging technologies are reshaping the healthcare landscape and what it means for the future of patient care.
Roberta Schwartz, PhD, MHS
Houston Methodist, USA
Marshall Hicks, MD
The University of Texas MD Anderson Cancer Center, USA
Alan B. Lumsden, MD
Houston Methodist and Weill Cornell Medical College, USA
Sean Savitz, MD
The University of Texas Health Science Center at Houston (UTHealth), USA
Empowering Women in Biomedical Informatics: Breaking Barriers and Building Bridges
Monday | November 11, 2024 | 12:30 – 13:30
Abstract: This panel will explore the contributions of women in biomedical and health informatics, addressing both achievements and ongoing challenges in creating an inclusive landscape. Featuring diverse perspectives, the discussion will consider the importance of supportive, collaborative environments that empower women to thrive and lead. Panelists will discuss pioneering projects, inclusive research practices, and mentorship initiatives that foster equity and drive progress.
Through interactive Q&A and engaging dialogue, this session aims to provide strategies for all attendees to promote inclusivity within their organizations and recognize the transformative impact of diverse teams in advancing biomedical informatics. This panel not only underscores the contributions of women but also encourages a collaborative vision for the future, where all members of the community are empowered to contribute to healthcare innovation.
Tayo Obafemi-Ajayi
Missouri State Univ., USA
May D. Wang
Georgia Tech & Emory Univ., USA
Maria Fernanda Cabrera
Universidad Politecnica de Madrid, Spain
María Teresa Arredondo
Universidad Politécnica de Madrid, Spain
Angelica Iacovelli
Nucleo Research, Inc, USA
Clinical Applications of the AI
Monday | November 11, 2024 | 16:00 – 17:00
Abstract: Artificial intelligence has the potential to revolutionize modern society in all its aspects. Researchers have recently started to show an increasing interest in developing AI solutions for clinical care, creating models for use in medical applications, ranging from disease prediction, diagnosis, and prognosis to opting for the most appropriate treatment for an individual patient.
Due to the growth of computing power, advances in technology, and the explosion of data, artificial intelligence (AI) has increasingly become an integral part of our life, playing a crucial role as a supportive technology in many domains.
In recent years, AI has attracted more and more research interest in medicine, being investigated for a plethora of clinical applications in AI involvement in the prevention, screening, and treatment of diseases and prediction of the prognosis in the fields of cardiology, neurology, oncology, hematology, nephrology, gastroenterology, hepatology, orthopedics, and rheumatology, and in auxiliary areas, including drug design and the fabrication of patient-specific medical devices.
Artificial intelligence holds great promise for revolutionizing clinical care. By the ingenious use of big data in healthcare, ML algorithms, and neural networks, better options can be envisaged for the triage, diagnosis, prognosis, monitoring, and treatment of various challenging diseases. Numerous studies have tackled the potential use of AI in medical fields, such as cardiology, neurology, oncology, hematology, nephrology, gastroenterology, hepatology, orthopedics, and rheumatology.
In conclusion, AI is a source of tremendous opportunity in clinical care, deserving considerable attention from the scientific community to fully understanding its benefits and develop novel tools. Therefore, we believe that, “Clinical Applications of the AI” Panel at the BHI 2024 Conference is excellent opportunity to explore the many advantages of the AI in clinical care and the personalized medicine.
Joseph C. Masdeu, MD, PhD
Weill Cornell Medical College, USA
Hardeep Singh, M.D., M.P.H.
Baylor College of Medicine, USA
Babatope Fatuyi, MD
Department of Clinical and Health Informatics, USA
Jaime Gateno, MD, DDS
Weill Cornell Medical College, USA
Liwei Wang, MD, PhD
UT Health, School of Biomedical Informatics, USA
Leveraging Technologies and its Applications for Improved Public Health, Safety, and Well-being
Tuesday | November 12, 2024 | 11:00 – 12:00
Abstract: Public Safety is a key imperative that affects all of us especially seen last year from the wildfires in Canada that generated significant smoke that impacted the air quality across the United States or that of natural disasters like the earthquakes in Japan and Turkey. In addition, the health and wellness of public safety personnel is an important component of any public safety operation. Public Safety Technology per se is not considered a technology but comprises all the various technologies that can and do contribute to public safety health needs. These range from, but not limited to artificial intelligence, machine learning, intelligent data, augmented and virtual reality, digital twins, sensors, and Internet of Things (IoT). Emphasis will be upon presenting practical applications and their implementations of interest to attendees. Subject matter expert speakers will comment on current and past implementations all towards development for improved public health, safety, and well-being. IEEE Future Directions launched this initiative on public safety technology.
Sheikh Iqbal Ahamed
Marquette University, USA
Carolyn McGregor
Ontario Tech University, Canada
Nicholas Napp
Xmark Labs, LLC, USA
Kathy Grise
IEEE Future Directions, USA
NIH Special Session: Funding Opportunities and Grant Writing
Tuesday| November 12, 2024 | 12:30 – 13:30
Abstract:Biomedical and health informatics are important portfolios of NIH. The session participants will hear from experienced researchers and NIH program officials, who will share their advice and insights on how to navigate NIH grant space and write effective grant proposals. They can also learn about current funding opportunities from NIH program officers who will introduce their programs and priorities for several NIH institutes such as NIBIB, NIGMS, NIMH, as well as other trans-NIH programs and opportunities. The session will be concluded by a Q&A segment for questions and interact with the panel members. The topics would benefit trainees, researchers, and investigators in all the career stages.
Tiffani Bailey Lash
NIBIB, USA
Jean Yuan
NIGMS, USA
Qi Duan
NIBIB, USA
Yvonne Bennett
NIMH, USA
Industrial Applications of the AI
Tuesday | November 12, 2024 | 16:00 – 17:00
Abstract: Recently, there has been widespread applications of AI-supported technologies in healthcare institutions for improved care service quality and efficiency of medical resources. Today, many startups are providing healthcare solutions and services using
AI-based technologies.
AI has been proven to be especially effective with a large volume of radiology data to improve the quality-of-care services with medical imaging. AI-supported medical software can get smarter with learning from the increased volume of accumulated data and new medical research.
Smartphone-based health coaching apps, is a diet app that fully functions as a mobile diabetes prevention device to create healthier habits, reduce the risk of chronic health problems, reverse disease.
The AI-supported system can find the notoriously small (5 mm or less in size) or early developmental polyps that many gastroenterologists miss during the colonoscopy exams.
Recently developed smart AI systems can further reduce the error rate and they are expected to further improve the care service quality.
Innovation is imperative in the dynamic digital age. The rapidly advancing technologies are the primary tools for implementing and converging value-creating ideas. Therefore, the application of AI and related technologies is not a choice, but a trend that organizations must accept and leverage for competitive advantage. AI applications are not only changing the nature of care delivery in terms of the diagnosis and treatment processes but also the lifestyle of patients themselves as their well-being requires the entire package of healthy living routines.
In this abstract, we have outlined how AI technology has been diffused in healthcare and the type of new opportunities it has brought. During the “Industrial Applications of the AI in Healthcare” Panel at the BHI 2024 Conference, innovative healthcare technologies and their impacts will be explored and discussed.
Sarma Velamuri, M.D.
Luminare Inc, USA
Sara Rogers, Pharm.D.
American Society of Pharmacovigilance
Jim Colson, MSCS, MSME
Digital Health
Rafael Rosengarten, PhD, MS
Genialis
Ronak Patel, PhD
Nucleati
Augustine Annan, PhD
Melax Tech
Young Professionals/Career Panel
Wednesday | November 13, 2024 | 11:00 – 12:00
Abstract: Coming Soon!
Ahmed A. Metwally
Yu-Chiao Chiu
Univ. of Pittsburgh Medical Center, USA
Akane Sano
Rice University, USA
Meeting with the Editors Panel
Wednesday | November 13, 2024 | 12:30 – 13:30
Abstract: Coming Soon!
Dimitrios I. Fotiadis
Editor-in-Chief, IEEE J-BHI, USA