IEEE SA Voice shares insights and perspectives from the IEEE SA community, subject matter experts, and industry leaders that are working to raise the world's standards, drive market solutions, and much more, keeping you at the forefront of technological innovation for the benefit of humanity.
Can the Health System Benefit from AI as it Stands Today?
With the focus on accuracy, ethics, and bias in AI algorithms, we cannot lose sight of the need for more validated data. With hard-hitting insights and references, is the right question being asked: is AI good for medicine or is medicine right for AI?
Dr. Dimitrios Kalogeropoulos, Senior Independent Consultant for organizations like the World Health Organization (WHO) and the United Nations International Children's Emergency Fund (UNICEF), looks to the data for answers with our host, Maria Palombini.
Mind Your Data: The First Rule of Predictive Analytics in Clinical Research
The value of prediction can only be as good as the data it used to make its assumptions. With the growing use of AI, the focus has been more on the accuracy and validation of algorithms, however, we need to get back to the basics— the data. The better the data you put in, the better the insights that will come out.
Getting Real about Healthcare Data and the Patient’s Journey
The time has come to unleash the value of unstructured data. Artificial Intelligence (AI) and Machine Learning (ML) afford those opportunities across the healthcare domain, however, AI and ML must be demystified and we need to embrace the value of Natural Language Processing (NLP) in daily operating systems.
Alexandra Ehrlich, Principal Health Innovation Scientist at Oracle, and our host, Maria Palombini, discuss how AI and ML hold great opportunities for healthcare, but we can't lose sight of the challenge with bias permeating throughout accessible healthcare data.
Reducing the Healthcare Gap with Explainable AI
Fairness is not a math problem. Healthcare disparities are a global challenge requiring more than just physical care. Identifying and leveraging social determinants, when mined correctly, are untapped keys to closing the healthcare gap.
Join Dave DeCaprio, Chief Technology Officer & Co-Founder at ClosedLoop.ai, and our host, Maria Palombini, as they discuss how off-the-shelf AI presents a new perspective on transparency, reduction of bias, and a path toward health stakeholders' trust with explainability in its applications.
AI: The New Pipeline for Targeted Drug Discovery
RNA splicing is at the forefront of providing insights into diseases that are linked back to RNA errors. Dr. Maria Luisa Pineda, CEO & Co-Founder at Envisagenics, explains how AI, HPC (high-performance computing), and genetic data can provide the insights needed for targeted drug discovery in oncology and other genetic conditions faster and more accurately than ever.
Riding the Third Wave of AI for Precision Oncology
Hear about the recently released case study on the application of the “third wave of AI” that offers real-world data and practice on realizing the potential for precision oncology.