Navigating AI: A Quick Start Guide for Healthcare Professionals

• Published in: Curēus (Palo Alto, CA) Vol. 16; no. 10; p. e72501
• Main Authors: Mathur, Piyush, Arshad, Hajra, Grasfield, Rachel, Khatib, Reem, Aggarwal, Avneep, Auron, Moises, Khare, Avneesh
• Format: Journal Article
• Language: English
• Published: United States Springer Nature B.V 27.10.2024; Cureus
• Subjects: Algorithms; Architecture; Clinical medicine; Collaboration; Computer programming; Curricula; Decision making; Education; Gastroenterology; Generative artificial intelligence; Goal setting; Healthcare Technology; Linear algebra; Machine learning; Neural networks; Point of care testing; Python; R&D; Research & development; Skills; Teams; deep learning; checklist; computer programming; machine learning; artificial intelligence
• ISSN: 2168-8184; 2168-8184
• DOI: 10.7759/cureus.72501

The rapid and nimble growth of artificial intelligence (AI) in healthcare has generated significant excitement among healthcare professionals. The most common question asked by clinicians about AI therefore is: "How do I get started?". We outline a strategic approach for clinicians to integrate AI into their knowledge base, focusing on goal setting, creating a learning roadmap, identifying essential resources, and establishing success metrics. We have outlined practical steps, including acquiring programming skills and utilizing low-code platforms, based on an individual's goal. Additionally, we present a resource toolkit that emphasizes continuous learning, collaboration, and mentorship to successfully adopt and implement AI in healthcare. We highlight the importance of understanding AI fundamentals and provide a roadmap to navigate a successful start.