University Guest Lectures

by IBM Academic Ambassadors

Lecture topic

Lecture language

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Found 13 results


How Artificial Intelligence (AI) May Improve Healthcare

Healthcare data are growing at an exponential rate, and technologies in the workplace are advancing rapidly. This session will address how artificial intelligence is making an impact in healthcare today and how emerging technologies may be applied in the future.

Learning …

Topics

AI ApplicationHealthcareMedical

Lecture language

English

Artificial Intelligence (AI) and it's Role in Healthcare

Healthcare data are growing at an exponential rate, and technologies in the workplace are advancing rapidly. This session will address how artificial intelligence is making an impact in healthcare today and how emerging technologies may be applied in the future. …

Topics

AI ApplicationHealthcareMedical

Lecture language

English

The Role of Artificial Intelligence (AI) in Improving Healthcare

Healthcare data are growing at an exponential rate, and technologies in the workplace are advancing rapidly. This session will address how artificial intelligence is making an impact in healthcare today and how emerging technologies may be applied in the future. …

Topics

AI ApplicationHealthcareMedical

Lecture language

English

Clinical 3D Printing in Healthcare - A Clinician's Perspective

Abstract:

The rise of advanced 3D cross-sectional imaging such as CT scans has allowed unprecedented volumetric imaging of the internal structures of the body. At the same time the rise of extremely high-performance additive manufacturing technologies, of which 3D printers are …


Natural Language Processing in Healthcare - A Clinician's Perspective

Abstract:

Healthcare data is heavily stored in narrative form of unstructured text. Unlike non-medical text, the language used in healthcare is often extremely complex, filled with complex negation, hypotheticals, and jargon, but at the same time using this data requires high-precision …


Improving Healthcare: Clinician's Perspective on The Role of Cloud Computing

There are trends and pressures that are changing the face of healthcare today. In this lecture, we will review those trends and pressures and define the role of cloud computing and its associated definitions. Use cases of cloud computing’s application …


Improving Healthcare: The Role of Artificial Intelligence (AI) - Clinician's perspective

Abstract:

Healthcare data are growing at an exponential rate, and technologies in the workplace are advancing rapidly. This session will address how artificial intelligence is making an impact in healthcare today and how emerging technologies may be applied in the future.


Learning …


The Role of Artificial Intelligence (AI) in Medical Imaging

With more images to manage, sites to connect, and people sharing data, enterprise imaging is critical to patient care. Learn about the role of AI and its application in Medical Imaging. This session will focus on the role of AI …


Improving Healthcare: The Role of Artificial Intelligence (AI)

Healthcare data are growing at an exponential rate, and technologies in the workplace are advancing rapidly. This session will address how artificial intelligence is making an impact in healthcare today and how emerging technologies may be applied in the future.

Learning …


IBM Global University Programs with a Focus on Healthcare

Healthcare is transforming and emerging technology is playing a significant role. Learn about the resources that IBM Global University Programs offers to medical, nursing, pharmacy, and public healthcare schools and really any student who is interested in healthcare.

Learning objectives:
After …

Topics

HealthcareInnovationStrategy

Lecture language

English

AI for Breast Cancer Screening

Breast cancer is the second leading cause of cancer-related deaths, and the most commonly diagnosed cancer among women across the world. As treatment options improve, early detection has an increasing impact on mortality, as earlier diagnosis can offer more options …


Fairness, Explainability & Robustness in Machine Learning

Recent years have seen an overwhelming body of work on fairness and bias in Machine Learning (ML) models. This is not unexpected, as fairness is a complex and multi-faceted concept that depends on context and culture. Particularly in machine learning, …


Towards clinical relevance: Predictive modeling applied to brain imaging

The application of machine learning methods to the increasingly larger observational studies of neurological and psychiatric disorders provides the opportunity of generating individualized assessments for people with a given condition, while also enabling the detection of brain correlates of disease. …