AI+ Doctor™

Clinical Intelligence Focus: Designed for medical professionals to integrate AI into patient care and diagnostics
Data-Driven Decisions: Equips doctors with tools to interpret AI-generated insights for precise treatment planning
Comprehensive Medical AI Knowledge: Covers AI applications from predictive analytics to medical imaging and virtual health
Future-Ready Expertise: Empowers healthcare practitioners to lead AI-driven innovations in clinical practice

At a Glance: Course + Exam Overview

Category	AI Professional AI Specialization
Program Name	AI+ Doctor™
Duration	Instructor-Led: 1 Day Self-Paced: 8 hours of content
Prerequisites	Basic Medical Knowledge: Participants should have foundational knowledge of clinical practices, medical terminology and patient care processes. Familiarity with Healthcare Systems: A basic understanding of healthcare systems, including electronic health records (EHRs) and patient workflows will be beneficial. Interest in Technology Integration: A keen interest in exploring the intersection of AI and healthcare, along with a willingness to learn about AI applications in medical settings. Data Literacy: A basic understanding of data concepts, including data collection, analysis, and interpretation, is recommended for understanding AI models and metrics. Problem-Solving Mindset: Ability to approach challenges with a solutions-oriented mindset, especially when evaluating AI systems and adapting them to clinical settings.
Exam Format	50 questions, 70% passing, 90 Minutes

Prerequisites

Basic Medical Knowledge: Participants should have foundational knowledge of clinical practices, medical terminology and patient care processes.
Familiarity with Healthcare Systems: A basic understanding of healthcare systems, including electronic health records (EHRs) and patient workflows will be beneficial.
Interest in Technology Integration: A keen interest in exploring the intersection of AI and healthcare, along with a willingness to learn about AI applications in medical settings.
Data Literacy: A basic understanding of data concepts, including data collection, analysis, and interpretation, is recommended for understanding AI models and metrics.
Problem-Solving Mindset: Ability to approach challenges with a solutions-oriented mindset, especially when evaluating AI systems and adapting them to clinical settings.

Exam Details

90 Minutes

70%

50 multiple-choice/multiple-response questions

At a Glance: Course + Exam Overview