Table 4 AI applications in healthcare, their benefits, and associated challenges

Diagnostics

Enhanced accuracy in disease detection

Early identification of conditions

Risk of algorithmic bias

Need for extensive validation and regulatory approval

Personalized medicine

Tailored treatment plans

Improved patient outcomes

Data privacy concerns

Integration with existing medical records

Drug discovery

Accelerated identification of potential drug candidates

Reduced development costs

High initial investment

Dependence on quality data

Administrative tasks

Streamlined scheduling and billing

Reduced administrative burden on staff

Potential job displacement

Implementation and maintenance costs

Predictive analytics

Forecasting disease outbreaks

Proactive patient care strategies

Data accuracy and completeness

Ethical considerations in risk prediction

Remote monitoring

Continuous patient health tracking

Increased access to care for remote patients

Reliability of devices

Data security and patient consent issues