2024 Artificial Intelligence in Healthcare Summit

April 15-16, 2024 * Westin Gaslamp * San Diego, CA

2024 Artificial Intelligence in Healthcare Summit








Healthcare is one of the greatest success stories of our times. Medical science has improved rapidly, increasing life expectancy around the world, but as longevity increases, hospitals and health systems face growing demand for their services, rising costs and a workforce that is struggling to meet the needs of its patients. Demand is driven by a combination of unstoppable forces: a shift in lifestyle choices, changing patient expectations, and the never-ending cycle of innovation being but a few. Of these, the implications from an aging population stand out. By 2050, one in four people in Europe and North America will be over the age of 65—this means the health systems will have to deal with more patients with complex needs. Managing such patients is expensive and requires systems to shift from an episodic care-based philosophy to one that is much more proactive and focused on long-term care management. Healthcare spending is simply not keeping up. Without major structural and transformational change, healthcare systems will struggle to remain sustainable. Health systems also need a larger workforce, but although the global economy could create 40 million new health-sector jobs by 2030, there is still a projected shortfall of 9.9 million physicians and nurses globally over the same period. We need not only to attract, train and retain more healthcare professionals, but we also need to ensure their time is used where it adds most value—caring for patients.


Building on automation, artificial intelligence (AI) has the potential to revolutionize healthcare and help address some of the challenges set out above. AI can lead to better care outcomes and improve the productivity and efficiency of care delivery. It can also improve the day-to-day life of healthcare practitioners, letting them spend more time looking after patients and in so doing, raise staff morale and improve retention. It can even get life-saving treatments to market faster.


This event will focus on healthcare providers, attracting physicians, radiologists, clinicians and IT leaders from hospitals across the country that are applying AI to solve problems, create opportunities, and leveraging it to deliver new value. They will share their experiences using AI in the clinical care and hospital operations settings. You will come away with a wealth of practical tips and actionable insights that will enable you and your organization to become a leader in AI’s imminent transformation of healthcare. The program is focused on helping you along on your AI journey, at whatever stage you may be. Hear case studies and real-world applications of AI in healthcare and its impact on future jobs.

Who Should Attend?
From Hospitals/Health Systems/Imaging Centers/Health Plans/Technology Companies/Surgery Centers

Chief Data Officers
Business & Technology Executives
IT Decision Makers
Heads of Innovation
IT Operations
Data Management
Medical Records
Director of Artificial Intelligence
Product Development
Data Architects
Scientists and Engineers

Imaging Centers


Virtual Care Executives
Business Intelligence
Innovation Officer
Medical Directors

Remote Patient

Quality Improvement

Cardiovascular Services

Technology Development

Machine Learning

Critical Care

Also of Interest to:

Venture Capitalists
AI Consultants & Service Providers
Solution Providers


Conference Agenda

Day One - Monday, April 15, 2024

7:15am – 8:00am
Conference Registration & Networking Breakfast 

8:00am – 8:15am
Chairperson’s Opening Remarks 

8:15am – 9:00am
How AI Can Improve Patient Outcomes
The healthcare industry is ripe for change. From chronic illnesses, such as heart disease and diabetes, to risk assessment, there are countless opportunities where technology can enhance clinical workflows, improve experiences and elevate overall care. As physicians today face high rates of burnout and patients demand increased attention from their doctors, AI is emerging as a credible solution to such problems. It is freeing up doctors’ time and allowing them to administer care both more attentively and effectively. The discipline, inclusive of machine learning and deep learning, is already making impressive waves in the world of healthcare today: predicting senior falls, changing oncology, expanding access to care in remote areas and much more.

This session will explore ways in which AI is helping healthcare organizations to make significant improvements in patient experience and outcomes. 

Aisha Rahim MD, FHM, Exec HBS/MIT
Medical Executive and Director
Johns Hopkins HealthPlans 

9:00am – 9:45am
Implementing effective AI to improve cancer care: Northwell Health case study of iNav
As AI rapidly changes how we manage and deliver health care, many are asking what disciplines and types of technology would yield immediate results? Daniel King, MD PhD, a gastrointestinal medical oncologist at Northwell Health’s Cancer Institute’s Center for Genomic Medicine and Assistant Professor in the Institute of Cancer Research at the Feinstein Institutes for Medical Research, will speak to an AI-powered pancreatic cancer detection tool he created called iNav to improve the diagnosis and ultimately the coordinated care of patients. iNav analyzes high volumes of CT and MRI inpatient and outpatient scans — more than 10,000 abdominal scans per month — to find indications of cancerous mass/lesions on a patient’s pancreas. Since its inception, iNav has led to a 50% reduction in time-to-treatment at Northwell Health and a tripling enrollment in clinical research studies. More than 100 patients have been identified as being at risk of pancreatic cancer, and more than 30 patients have needed to be navigated to care. Dr. King will discuss the idea behind iNav, the problems he and his team faced in developing it, and lessons learned for other health systems to roll out effective AI tools.

 Daniel A. King, MD, PhD,
Director of Research and Development
Northwell Health Cancer Institute’s Center for Genomic Medicine
Northwell Health

9:45am – 10:15am
Networking & Refreshments Break 

10:15am – 11:00am
The Impact of AI in Medicine on the Future Role of the Physician
The practice of medicine is changing with the development of new AI methods of machine learning. Coupled with rapid improvements in computer processing, these AI-based systems are already improving the accuracy and efficiency of diagnosis and treatment across various specializations. The increasing focus of AI in radiology has led to some experts suggesting that someday AI may even replace radiologists. These suggestions raise the question of whether AI-based systems will eventually replace physicians in some specializations or will augment the role of physicians without actually replacing them. To assess the impact on physicians this research seeks to better understand this technology and how it is transforming medicine. This session will explore the role of AI-based systems in performing medical work in specializations including radiology, pathology, ophthalmology, and cardiology.

John D. Scott, MD, MSc, FIDSA
Chief Digital Health Officer, UW Medicine
Professor, Allergy & Infectious Diseases
University of Washington 

11:00am – 11:45am
Why AI is Critical for Value-Based Care
With all the recent buzz around generative artificial intelligence (AI) related to ChatGPT, it’s reasonable to have mixed reactions to emerging technologies. However, many AI technologies — including optical character recognition, natural language processing and machine learning — are widely established and proven highly reliable in driving healthcare innovation for payers, providers and patients. AI has enormous potential to accelerate value-based care models and is already critical for success in risk adjustment, quality improvement and member management programs. Employing AI-driven technology ensures accurate and timely compliance with industry regulations, mitigates audits and fines, and helps forecast accurate reimbursements. This session will explore key reasons AI is critical to the success of value-based care.

Ghazala Nathu, MD, MS, PhD, FACB
Clinical Medical Molecular Laboratory Director
Director of Point of Care, Blood Bank Tissue Compliance Officer
Bassett Healthcare Network 

11:45am – 12:30pm

12:30pm – 1:30pm

1:30pm – 2:15pm
The Power of AI in Surgery
AI has changed for some time now the face of healthcare through machine learning and natural language processing. Its use in surgery, however, took a longer time than in other medical specialties, mainly because of missing information regarding the possibilities of computational implementation in practical surgery. Thanks to fast developments registered, AI is currently perceived as a supplement and not a replacement for the skill of a human surgeon. Topics to be discussed will include:

–            How AI is shaping preoperative planning
–            AI’s role in intraoperative guidance
–            Surgical robotics
–            Examples of AI-assisted surgery

Karen B. Seagraves, PhD, MPH, NEA-BC, APRN, FAHA
Healthcare AI Strategic Advisor
Firework Factor LLC

2:15pm – 3:15pm
Panel: Trends in Medical Imaging that are Changing Healthcare
Medical imaging saves millions of lives each year. It helps doctors to detect and diagnose a wide range of diseases, from cancer and appendicitis, to stroke and heart disease. The healthcare industry always aims to deliver new innovations to patients, though. So, stakeholders continue to invest in medical imaging technology research. This session will explore at some of the biggest radiology technology trends in recent years, and what is expected in the future. Topics to be discussed will include:

– Artificial intelligence

– Augmented intelligence

– Virtual and augmented reality and 3D medical imaging 

– Nuclear imaging

– Wearables

3:15pm – 3:45pm
Networking & Refreshments Break 

3:45pm – 4:30pm
How AI-Enabled RPM Can Improve Healthcare Delivery
By now, everyone is familiar with the Triple Aim of healthcare: improve the care experience, enhance health outcomes, and reduce costs. It’s a frequent topic of conversation across the industry, but many healthcare leaders struggle to find consensus on how to achieve these admirable goals.

Fortunately, AI offers healthcare organizations an opportunity to utilize their existing data infrastructure to redefine the traditional care delivery model in a meaningful way for their patients, while getting them closer to achieving the vaunted Triple Aim. One clinical tool enabled by AI is remote patient monitoring (RPM). RPM is a healthcare delivery method that uses digital technologies to remotely monitor and analyze a patient’s vitals and other health data outside of a traditional healthcare setting. This technology securely and non-intrusively transmits health information between patients and providers to enable more informed clinical decision-making, earlier interventions, and more preventative care. RPM enabled with AI can go a step further by supporting practices with patient enrollment, engagement, and education to ensure adherence and reduce administrative burden. This session will explore the major areas at the intersection of AI and RPM and how together they can improve healthcare delivery: clinical efficiency, health outcomes, and cost of care.

Saurabh Chandra, MD, PhD
Chief Telehealth Officer
University of Mississippi Medical Center 

4:30pm – 5:15pm
Cybersecurity Incidents: Automation and AI to the Rescue 

Michael Archuleta
Chief Information Officer, HIPAA and Information Security Officer
Mt. San Rafael Hospital

Cocktail Reception

Day Two – Tuesday, April 16, 2024

7:15am – 8:00am
Networking Breakfast 

8:00am – 8:15am
Chairperson’s Recap 

8:15am – 9:00am
Proactive Diabetes Prevention and Management with AI-Driven Wearable Computing
This talk presents recent developments in AI and wearable computing for diabetes prevention and management. With a particular focus on glucose control, we review methods for continuous nutrition and physical activity monitoring, abnormal glucose prediction, and intervention design to maintain normal glucose through behavioral modifications. Maintaining normal blood glucose levels through lifestyle behaviors is central to maintaining health and preventing disease. Frequent exposure to dysglycemia (i.e., abnormal glucose events such as hyperglycemia and hypoglycemia) leads to chronic complications including diabetes, kidney disease and need for dialysis, myocardial infarction, stroke, amputation, and death. Therefore, a tool capable of predicting dysglycemia and offering users actionable feedback about how to make changes in their diet, exercise, and medication to prevent abnormal glycemic events could have significant societal impacts. Counterfactual explanations can provide insights into why a model made a particular prediction by generating hypothetical instances that are similar to the original input but lead to a different prediction outcome. Therefore, counterfactuals can be viewed as a means to design AI-driven health interventions to prevent adverse health outcomes such as dysglycemia. We demonstrate the potential of such AI technologies through the development of GlyCoach, a framework for generating counterfactual explanations for glucose control.

Hassan Ghasemzadeh, PhD
Associate Professor, Biomedical Informatics
College of Health Solutions
Arizona State University 

9:00am – 9:45am
Innovation Studio:  5 AI Startups That Can Change the Game In Cancer Care 

Pavitra P. Krishnamani, MD, MS
Emergency Medicine Physician
MD Anderson Cancer Center 

9:45am – 10:15am
Networking & Refreshments Break 

10:15am – 11:00am
Artificial Intelligence in Medical Diagnosis
AI has become synonymous with support and efficiency in the medical community. From a technology viewed with suspicion as claims touted it the replacement for the medical professional, AI has evolved to become the second pair of eyes that never need to sleep. AI in medical diagnosis and healthcare provides overworked medical practitioners and facilities with reliable support, helping to minimize workload pressure while maximizing practitioner efficiency. AI in medical diagnosis helps with medical decision making, management, automation, admin, and workflows. It can be used to diagnose cancer, triage critical findings in medical imaging, flag acute abnormalities, provide radiologists with help in prioritizing life-threatening cases, diagnose cardiac arrhythmias, predict stroke outcomes and help with the management of chronic diseases. This session will explore how artificial intelligence in medical diagnosis has shown immense promise in changing the standards of medical care while reducing the extreme pressures felt by the medical industry. 

Ricardo Gutierrez-Osuna, Ph.D, MS, BS
Professor, Computer Science and Engineering
Texas A & M University 

11:00am – 11:45am
Key Challenges for Delivering Clinical Impact with Artificial Intelligence 

Kathleen Fear, Ph.D.
Director of Data & Analytics, Health Lab
Assistant Professor, Clinical Nursing
University of Rochester Medical Center 

11:45am – 12:30pm
Human-Centric AI: Beyond Clinical Care, Empowering the Healthcare Workforce
The integration of AI in healthcare transcends clinical applications, deeply impacting the entire workforce and operational efficiencies. At Providence Health, one area of focus is on evaluating and integrating AI solutions that bolster clinically adjacent caregivers, ensuring technology serves as a support rather than a substitute for human interaction. This session will highlight how AI initiatives can empower the non-physician workforce, enhance operational processes, and maintain the human element at the forefront of technological adoption. Attendees will learn about practical, human-centered strategies for AI integration, drawing on examples that illustrate the positive impact on both workforce satisfaction and efficiency. Join us to discover how placing the human being at the center of AI solutions can revolutionize healthcare operations.

Martin Ray
Executive Director Workforce Optimization
Providence Health 

Conference Concludes

Workshop - Tuesday, April 16, 2024
12:45pm – 2:45pm

Workshop: How Artificial Intelligence Is Driving Changes in Radiology

Described simply, AI is a field that combines computer science and robust data sets, to enable problem-solving. The umbrella term encompasses the subfields of machine learning and the more recently developed deep learning, which itself is a subfield of machine learning. Both use AI algorithms to create expert systems that make predictions or classifications based on input data. The first reports of AI use in radiology date back to 1992 when it was used to detect microcalcifications in mammography and was more commonly known as computer-aided detection. It wasn’t until around the mid-2010s that it really started to be seen as a potential solution to the daily challenges, such as volume burden, faced by radiologists. With the advent of AI came the emergence of radiomics, where digital images that are normally interpreted by radiologists in a qualitative way are transformed into quantitative data. The digital data can then be used to train machine-learning algorithms to recognize certain features that may give insight into a diagnosis or prognosis invisible to the human eye. In addition, AI can be applied to almost every part of a patient’s journey through a radiology department. Topics to be discussed include:

  • Improving hospital workflow
  • Image reconstruction
  • Reading and interpreting images
  • Fitting into multiomics
  • Increasing acceptance



The Westin San Diego Gaslamp Quarter
910 Broadway Circle
San Diego, CA 92101

**Mention BRI Network to get discounted rate of $289/night ** or use link below:


Sponsors and Exhibitors

Are there group discounts available?

  • Yes – Register a group of 3 or more at the same time and receive an additional 10% off the registration fee

Are there discounts for Non-Profit/Government Organizations?

  • Yes – please call us at 800-743-8490 for special pricing

What is the cancellation policy?

  • Cancellations received 4 weeks prior to the event will receive a refund minus the administration fee of $225. Cancellation received less than 4 weeks prior to the event will receive a credit to a future event valid for one year.

Can the registration be transferred to a colleague?

  • Yes – please email us in writing at info@brinetwork.com with the colleague’s name and title

Where can I find information on the venue/accommodations?

  • Along with your registration receipt you will receive information on how to make your hotel reservations. You can also visit individual event page for specific hotel information. The conference fee does not include the cost of accommodations.

What is the suggested dress code?

  • Business casual. Meeting rooms can sometimes be cold so we recommend a sweater or light jacket
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