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Advanced AI & Sensors: Reaching the Hardest to Reach Patients at Home

Healthcare is coming home. Sumit Nagpal, CEO & Founder of Cherish Health, explains how using advanced AI and sensors can efficiently and effectively support the wellness needs of the rapidly growing elder generation at home with dignity and integrity.

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.

The Balance: AI’s Healthcare Goodness for Marginalized Patients

Can Artificial Intelligence (AI) and Machine Learning (ML) support fairness, personalization, and inclusiveness to chip away at the epidemic of healthcare inequity, or will it further create more inequity in the healthcare system?

Cybersecurity, Trust, and Privacy in Connected Mental Health – A Perspective from Europe

We are seeing rapidly growing trends towards the application of digital therapeutics for mental health conditions; a great deal exacerbated by the COVID-19 pandemic.

Are we approaching a time when doctors prescribe mobile apps, games for adolescents, or Virtual Reality to treat social anxiety and/or treat mental ill-health rather than medication or talk sessions? If YES, then managing cybersecurity and privacy risks must be top of the agenda.

Listen to this episode to understand the opportunities and growing challenges in managing duty of care, security, and privacy with a highly vulnerable population of patients with an easily accessible suite of mental health digital therapeutics.

Related Resources:

• DIMH2021: Digital Innovation in Mental Health
• IEEE SA Ethical Assurance of Data-Driven Technologies for Mental
• Healthcare Industry Connections Program (ICAID)
• IEEE SA 2021 Global Connected Healthcare Cybersecurity Virtual Workshop Series
• IEEE SA Transforming the Telehealth Paradigm: Security Privacy, Connectivity, and Accessibility for All Industry Connections Program
• IEEE SA Tech and Data Harmonization for Enabling Decentralized Clinical Trials Industry Connections Program

Response and Prevention Strategy in Connected Health - A Perspective from Latin America

What can an emerging Latin American region teach us when it comes to cyber risk management in the digital healthcare transformation?

We sit down with Roque Juarez, Security Intelligence Specialist at IBM in Mexico, to get an understanding of how basic principles can be critical to cyber threat management in connected healthcare systems regardless of whether you are an emerging or established economy. If you think COVID-19 pandemic slowed down the rate of threat, think again.

Tune in as Roque shares how COVID-19 made it more appealing for hackers to breach labs, healthcare systems, and any repository of patient health data and research.

Related Resources:

• IEEE SA Healthcare and Life Sciences Practice
• IEEE SA IoT Ecosystem Security Industry Connections Program
• IEEE SA 2021 Global Connected Healthcare Cybersecurity Virtual Workshop Series
• IEEE SA Transforming the Telehealth Paradigm: Security Privacy, Connectivity, and Accessibility for All Industry Connections Program
• IEEE SA Tech and Data Harmonization for Enabling Decentralized Clinical Trials Industry Connections Program
• IEEE Global Wearables and Medical IoT Interoperability & Intelligence (WAMIII) Program