With the rush toward using tools such as artificial intelligence, machine learning, and deep learning technologies to analyze health data for insights, questions are being raised about how good a job the technologies are doing to improve outcomes.
Technologists, clinicians, researchers, scientists, ethicists, policy stewards, and other experts offer their thoughts during the third season of the Re-Think Health Podcast, AI for Good Medicine. The series is part of the IEEE Standards Association’s Healthcare and Life Sciences practice.
Season 3 features these episodes:
The Balance—AI’s Healthcare Goodness for Marginalized Patients. IEEE Senior Member Sampathkumar Veeraraghavan, chair of the IEEE Humanitarian Activities Committee, covers whether AI and machine learning can support fairness, personalization, and inclusiveness or if they create even more inequity.
Riding the Third Wave of AI for Precision Oncology. This episode features Nathan Hayes, founder and CEO of Modal Technology Corp., and scientist Anthoula Lazaris, director of the biobank at the McGill University Health Center Research Institute. They discuss how AI can improve patient outcomes. The experts also cover whether the full potential for precision oncology will be realized by using the “third wave of AI” with real-world data and practice. In the so-called third wave, AI systems are imagined to have humanlike communication and reasoning capabilities and be able to recognize, classify, and adapt to new situations autonomously.