AI in Medicine Graduate Certificate

Artificial intelligence is rapidly transforming our society, including many aspects of academic medicine: administration, research, clinical care, and in policy and regulatory environments. Healthcare leaders, scientists, and practitioners need an understanding of and training in how AI is being used in healthcare, the ramifications of its use, and how it will continue to evolve to impact the lives of physicians, researchers, and patients. Those who are in training for a career in medicine will also benefit from this credential, which can help you stand out from competitors.

Our AI in Medicine Graduate Certificate will provide current and future healthcare leaders with important foundations in understanding and applying AI, as well as the safety, security, and ethics of using the AI to improve the health of and lives of patients. Prepare for the changing landscape of modern medicine with this valuable credential.

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Curriculum

HCI 611: Foundations of AI in Medicine (3 credit hours)

Fundamentals needed for implementing Artificial Intelligence (AI) in clinical settings, Introduction to AI, Introduction to Healthcare System and Clinical data and Introduction to tools and techniques used in AI
HCI 613: Leadership & Ethics of AI in Medicine (3 credit hours)

This course introduces students to leadership, ethical and strategic skills, responsible AI, AI strategy, people, organization, and implementation of AI in medicine.
HCI 612: Applications of AI in Medicine (3 credit hours)

This course introduces students to Applications of AI in medicine, Machine Learning- Applications of AI to EHR data, Deep Learning- Applications of AI to Medical Imaging data, and Natural Language Processing- Applications of AI to Clinical Documentation.
HCI 614: Integrating AI Into the Clinical Workflow (3 credit hours)

This course introduces students to strategies and processes for integrating AI into existing clinical workflows. Using AI for Medical Diagnosis, Using AI for Medical Prognosis, and Using AI for Medical Treatment.
HI 620: Security and Privacy in Healthcare AI (3 credit hours)

Security and privacy issues, legislation, regulations, and accreditation standards unique to the health care domain and relative to various group layers (individual, social, and society). Concepts, theories, methods, models, and tools related to technical security of data across networks, systems, databases and storage, audit mechanisms and controls.

Tuition & Fees

Courses	Credit hours	Cost
HCI 611 Foundation of AI in Medicine	3	$1,614
HCI 612 Applications of AI in Medicine	3	$1,614
HCI 614 Integrating AI Into the Clinical Workflow	3	$1,614
HCI 613 Leadership & Ethics of AI in Medicine	3	$1,614
HI 620 Privacy & Security in Healthcare	3	$2,046
Total	15	$8,502

Other UAB Institutional Fees
Application Fee		$50
Late Registration Fee		$75
Withdrawl Fee		$30
Graduation Fee		$50
Medicine Support Fee		$250
Total		$455

Application Deadlines

December 1 — Spring semester
May 1 — Summer semester
August 1 — Fall semester

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