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Artificial Intelligence in Health Care
Rating: 4.0 out of 5(312 ratings)
18,641 students

Artificial Intelligence in Health Care

Transforming the Future of Medicine.
Last updated 8/2023
English

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.

Course content

10 sections44 lectures9h 35m total length
  • Introduction Artificial Intelligence in Health Care10:39
  • Timeline of AI in Health Care8:39
  • Teachable Machine17:07

    Explore Teachable Machine's image project to train a mask versus no mask classifier using webcam or file uploads, adjust batch size and epochs to improve accuracy, test and export model.

  • Application5:18

    Explore how machine learning powers robot assisted surgery, disease detection, OCR handwriting prescription, and AI tools like IBM Watson to improve cancer diagnosis, tracing, and vaccination forecasting.

  • IBM Watson Detceted Rare Leukemia in just 10 mint9:40

    IBM Watson’s AI-powered system cross-referenced genetic data to diagnose a rare leukemia in ten minutes. The example shows AI accelerating medical diagnosis and underpinning health apps and mental health chatbots.

  • APR using AI in Health Care4:06

    Explore how ai-powered symptom checkers and chatbots collect symptoms, ask questions, determine likely diagnoses, and connect users with doctors for consultation.

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 Healthcare

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.


Who Can Learn About AI in Healthcare

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.


Career Scope

AI-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 Abroad

In 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 Healthcare

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.

Who this course is for:

  • 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.