AI in Healthcare Infographic

AI in Healthcare

An overview

Description

The use of AI in healthcare represents a giant opportunity. AI is forecasted to "improve the cost of care, and improve outcomes, simply because things will happen earlier, faster, and better" says Dr Aldo Faisal, leader of Imperial’s UKRI Centre for Doctoral Training in AI for Healthcare. But challenges need to be adressed.

Challenges

Benefits

• Faster and more accurate diagnosis
• Better management and analysis of patient data
• Cost effectiveness e.g. in drug development or clinical trials
• Personalisation of treatments
• Better predictions
• Automation of administrative tasks freeing workers' time
• Widen access to healthcare
• Helps in triage
• Better Public Health e.g. prediction of disease outbreaks

• Fairness
• Explainability - AI as a blackbox
• Transparency
• Data privacy and security
• Statistical accuracy
• Algorithm biases
• Patient harm due to AI errors
• Misuse of medical AI tools due to lack of AI medical training
• Obstacles to implementation in existing clinical workflows

+ info

53%

of surveyed healthcare leaders believe AI adoption is moving at an appropriate speed

Different Applications of AI in healthcare

$20.65BN

is the market size of AI in healthcare in 2023

Large Scale Data Analysis

Laboratory and R&D support

Virtual health assistance

≈35%

of European start-ups in AI in healthcare are primarily aimed at patient monitoring applications

Physiological monitoring

Robotics

Imaging

Main Intended Users

Personalised apps for patients and clinicians

Clinicians

Healthcare providers

In 2022, North America accounted for 47.6% of the AI in healthcare market share - the largest share of the market.

Patients