This fellowship funds cardiothoracic surgery residents who apply machine learning, artificial intelligence, data science, or statistical methods to advance the field. Awardees receive $40,000 and one to two years of dedicated research time with weekly mentorship from Dr. Eugene Blackstone. Research is primarily conducted at the resident's home institution with opportunities for collaboration and periodic travel to the Cleveland Clinic.
Applicants must be residents enrolled in accredited US or Canadian surgical training programs with at least two years of postgraduate training. They must conduct research under an established surgical investigator who is an active AATS member and provide a complete education plan and mentor document
