Artificial Intelligence In Health Care

Transforming the Future of Medicine.

What you'll learn

Acquiring knowledge about AI in healthcare opens doors to numerous benefits for both healthcare professionals and tech enthusiasts.

AI enables accurate data interpretation, predictive analytics, and quicker diagnoses, leading to improved patient outcomes.

Learning AI empowers individuals to contribute to medical innovation, optimize treatment pathways, and reduce medical errors, ultimately saving lives.

AI in healthcare is not limited to a specific group. It caters to medical professionals, tech enthusiasts, data scientists, and entrepreneurs alike.

Requirements

A strong foundation in both healthcare and technology is essential to embark on a journey into AI healthcare. A bachelor's degree in medicine, computer science, bioinformatics, or related fields provides a solid starting point. Proficiency in programming languages like Python, statistical knowledge, and familiarity with machine learning frameworks are invaluable. Advanced degrees, such as a Master's in Health Informatics or AI, can offer deeper specialization.

Description

Artificial Intelligence (AI) has emerged as a revolutionary force in the healthcare sector, propelling it into a new era of precision, efficiency, and patient-centric care.AI leverages advanced algorithms, machine learning, and data analytics to transform healthcare processes, diagnosis, treatment, and research.This overview explores how AI is reshaping healthcare, from early disease detection to personalized treatment plans and administrative automation.Benefits of Learning AI in HealthcareAcquiring knowledge about AI in healthcare opens doors to numerous benefits for both healthcare professionals and tech enthusiasts.AI enables accurate data interpretation, predictive analytics, and quicker diagnoses, leading to improved patient outcomes.Learning AI empowers individuals to contribute to medical innovation, optimize treatment pathways, and reduce medical errors, ultimately saving lives.Who Can Learn About AI in HealthcareAI in healthcare is not limited to a specific group. It caters to medical professionals, tech enthusiasts, data scientists, and entrepreneurs alike.Healthcare professionals can enhance their practice by integrating AI tools into their workflows.Tech-savvy individuals can bridge the gap between technology and medicine, driving innovation forward.Aspiring data scientists can specialize in healthcare analytics, while entrepreneurs can explore AI-driven healthcare startups.Career ScopeAI-driven healthcare offers a vast array of career opportunities, ranging from specialized roles to research positions.Professionals can pursue roles such as AI healthcare specialist, medical data analyst, telemedicine solutions developer, and more.With the continual growth of AI in healthcare, career avenues are expanding, ensuring a dynamic and fulfilling professional journey.Salary Package and Job Roles in India and AbroadIn India, AI healthcare roles offer competitive salary packages. Entry-level positions like AI healthcare analysts can earn around 5-7 lakhs per annum.Mid-career professionals in roles such as medical AI researchers can earn between 10-15 lakhs per annum.Internationally, particularly in the United States, salaries are even more promising, ranging from 70,000 to 150,000$ or more, depending on specialization and experience.Requirements To Study AI in HealthcareA strong foundation in both healthcare and technology is essential to embark on a journey into AI healthcare.A bachelor's degree in medicine, computer science, bioinformatics, or related fields provides a solid starting point.Proficiency in programming languages like Python, statistical knowledge, and familiarity with machine learning frameworks are invaluable.Advanced degrees, such as a Master's in Health Informatics or AI, can offer deeper specialization.

Overview

Section 1: Module 1

Lecture 1 Introduction Artificial Intelligence in Health Care

Lecture 2 Timeline of AI in Health Care

Lecture 3 Teachable Machine

Lecture 4 Application

Lecture 5 IBM Watson Detceted Rare Leukemia in just 10 mint

Lecture 6 APR using AI in Health Care

Section 2: Module 2

Lecture 7 Python Part 1

Lecture 8 Python Part 2

Lecture 9 Python Part 3

Lecture 10 Python Part 4

Section 3: Module 3

Lecture 11 Python Part 5

Lecture 12 Python Part 6

Lecture 13 Python Part 7

Lecture 14 Python Part 8

Lecture 15 Python Part 9

Section 4: Module 4

Lecture 16 Tableau Software Part 1

Lecture 17 Download and Installation of Tableau Software Part 2

Lecture 18 Working on Tableau Software Part 3

Lecture 19 Working on Tableau Software Part 4

Section 5: Module 5

Lecture 20 Covid-19 Report on Software Part 1

Lecture 21 Covid-19 Report on Software Part 2

Lecture 22 Covid-19 Report on Software Part 3

Lecture 23 Working on Tableau Public Part 4

Lecture 24 Working on Tableau Public Part 5

Lecture 25 How to Find The Data Part 6

Section 6: Module 6

Lecture 26 Dashboard of Tableau Public

AI in healthcare is not limited to a specific group. It caters to medical professionals, tech enthusiasts, data scientists, and entrepreneurs alike. Healthcare professionals can enhance their practice by integrating AI tools into their workflows. Tech-savvy individuals can bridge the gap between technology and medicine, driving innovation forward. Aspiring data scientists can specialize in healthcare analytics, while entrepreneurs can explore AI-driven healthcare startups.