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Empathetic AI for Health Institute grows faculty and drives new discoveries
New hires

AI experts (L-R) Farzad Fereidouni, Saima Rathore, Ravi Parikh, Yun Wang, Michael J.A. Girard, Sundaresh Ram and Drew Williamson are the latest hires joining the Empathetic AI for Health Institute at Emory University. Their expertise spans fields such as AI-driven health care, biomedical imaging and oncology research.

In its inaugural year, the Empathetic AI for Health Institute (AI.Health) took major strides forward in its mission to power a revolution in medicine. AI.Health has ushered in a new era, transforming disease prevention, diagnosis, treatment and outcomes. Global thought leaders like Emory’s Anant Madabhushi are forecasting how AI will reduce disparities in health care access and quality

This year, the institute added seven new faculty members to an existing roster of 15 health care leaders. These additions are part of Emory’s campus-wide AI.Humanity Initiative, which since 2022 has welcomed more than 45 new faculty using AI to serve humanity. Emory’s health care ecosystem will provide many of these leaders with the tools and support necessary to drive innovation for human health.

As AI and machine learning reveal new insights, 2024 has been a notable year for precision medicine research at Emory. With promising discoveries for improved treatment for patients with certain breast cancers, early detection of severe eye inflammation and predicting heart transplant rejection. These advancements highlight the promise of using AI to produce better, more equitable health outcomes.

“That is why the work that we are doing is crucial. We’re approaching it from a pluralistic, multifaceted perspective, thinking about how we improve health and optimize medicine for our patients,” says Anant Madabhushi, PhD, executive director of AI.Health.


AI.Health new faculty

We are pleased to welcome the following faculty, who were hired in 2024 to join the AI.Health Institute and Emory’s AI.Humanity Initiative:

Pathology and laboratory medicine

Research focus: Developing imaging instrumentation and computational methods for tissue and cellular microscopy applications with focus on creating novel imaging approaches with direct applications in pathology and patient care.

Faculty Profile

Ophthalmology

Research focus: Ophthalmic engineering/artificial intelligence, biomedical imaging, ocular biomechanics and ophthalmic devices.

Faculty Profile

Hematology and medical oncology

Research focus: Prospective evaluations of AI decision support; human-machine collaboration; prognosis and prediction of outcomes in oncology; in silico trials and digital twins; patient-generated health data; wearables; trustworthy AI; AI policy and regulation

Faculty Profile

Biomedical informatics 

Research focus: Neuroimaging of neurodegenerative diseases and applying advanced imaging technology to discover multi-modal biomarkers to facilitate earlier detection and predict the progression of neurodegenerative pathologies.

Faculty Profile

Radiology and imaging sciences 

Research focus: Multidimensional signal processing/analysis, computational imaging, pattern recognition, machine learning, information theory, and inverse problems, along with applications of these methods to various imaging technologies in conventional and medical imaging, biological sciences and data sciences.

Faculty Profile

Biomedical informatics 

Research focus: Using deep learning, machine learning, and computational modeling to advance maternal-infant health. Developing and evaluating novel methods and applications of artificial intelligence for improving the diagnosis, prognosis and treatment of various health conditions affecting mothers and infants.

Faculty Profile

Pathology and laboratory medicine

Research focus: Exploring the intersection of AI and pathology, specifically how deep learning can help us to harness histopathology and molecular data to better create diagnostics.

Faculty Profile


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