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AI Innovation in Healthcare

AI is transforming healthcare, offering new ways to improve diagnostics, personalize treatment, and streamline clinical workflows. In this course, you will explore why AI is essential in modern healthcare, examining how data—ranging from electronic health records to medical imaging—drives AI-powered solutions. You’ll be introduced to key data exploration techniques used to uncover patterns and insights in healthcare data, as well as foundational AI approaches, including traditional rule-based systems, predictive analytics, and emerging generative AI models. We’ll also discuss the challenges of AI in healthcare, including biases, ethical concerns, and AI ‘hallucinations’—instances where AI generates misleading or incorrect information. By the end of this course, you’ll have a solid understanding of AI’s capabilities and limitations in healthcare and be prepared to critically assess its role in patient care and decision-making.
Duration 7 Months
Institution Northeastern University
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Northeastern University.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $334
Total Est. Investment $334

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the AI Innovation in Healthcare program at Northeastern University are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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