A new virtual conference will explore how artificial intelligence (AI) can help healthcare providers and scientists efficiently analyze vast amounts of data and make more informed decisions, the Endocrine Society announced today.
The Society will host its first-ever Artificial Intelligence in Healthcare Virtual Summit Nov. 8-9. The event will explore AI’s potential to revolutionize patient care and shape the future of medicine.
While big data can help health care providers and researchers diagnose diseases and develop new treatments, professionals need strategies to glean useful information from large data sets.
AI can:
- Analyze medical images such as X-rays, MRIs and CT scans to assist doctors in detecting abnormalities and making accurate diagnoses.
- Review patient data to predict the likelihood of certain diseases or conditions.
- Analyze vast amounts of biological and chemical data to identify potential drug candidates.
- Predict how different drugs will interact for specific patients, leading to more targeted and effective treatments.
- Extract valuable insights from electronic medical records, medical notes and research papers to support clinical decision-making.
- Power chatbots to answer patients’ questions, provide information and schedule appointments.
“With burnout and workforce recruitment posing real challenges in our field, we need to identify ways to support health care providers and researchers so they can perform their jobs efficiently and effectively,” said Endocrine Society President John Newell-Price MD, PhD, FRCP. “AI offers opportunities to improve medical care, advance research, and help professionals leverage big data.”
The AI Summit will feature keynote speaker Evan D. Muse, MD, PhD, FACC FAHA, a preventative cardiologist dedicated to reducing the health burdens associated with heart disease. Muse has published papers on ways to leverage AI to improve analysis of medical imaging and to prevent and manage cardiometabolic disease. He is an Associate Clinical Professor of Medicine and Associate Program Director for Research of the Cardiovascular Disease Fellowship at the Scripps Clinic, as well as an Assistant Professor of Molecular Medicine at the Scripps Research Translational Institute in La Jolla, Calif.
Other sessions will discuss predictive analytics, machine learning algorithms and natural language processing. Speakers will discuss how AI is being used to treat diabetes, high blood pressure, bone conditions, and thyroid cancer, among other topics.
Registration is open for health care professionals, researchers, technologists, industry stakeholders and educators.
The Endocrine Society’s conference will be held in conjunction with Matchbox, a leader in helping associations create engaging and strategic online experiences. Matchbox brings together consulting, professional services, and an innovative platform to help associations grow revenue, strengthen relationships with industry partners, and provide more value to their members with successful digital initiatives.
Read more about the Endocrine Society’s Virtual AI Summit featured in the October 2024 Endocrine News.
Endocrine News has been at the forefront of covering AI in healthcare for several years. Check out these articles:
Pandora’s Box? How Artificial Intelligence Could Impact Endocrinology
Researchers Develop Machine-Learning Prediction Model to Improve Medical Management of Acromegaly
Artificial Intelligence Improves X-ray Identification of Patients with Broken Bones
Rise of the Machines: Artificial Intelligence in Healthcare
Artificial Intelligence Predicts Gestational Diabetes in Chinese Women
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