Artificial intelligence (AI) is increasingly integrated into daily life from chat assistants and search engines to targeted advertisements. But, how does AI affect healthcare? Similar to other applications, AI can act as a virtual healthcare assistant, helping with scheduling and answering basic patient inquiries. Within hospitals, AI has significant potential in diagnostics, particularly in radiologic imaging and cardiology, where pattern recognition plays a crucial role.
A growing number of medical devices approved by the FDA now incorporate AI and machine learning (ML) to process, visualize, and generate diagnostic imaging or results. In cardiology, AI/ML-integrated cardiac monitors can analyze electrocardiograms—recordings of the heart’s electrical activity—to detect concerning arrhythmias. In radiology, AI acts as a second pair of eyes for radiologists, identifying potentially concerning areas and expediting image interpretation. Speed is particularly critical in conditions like stroke, where AI-powered programs can rapidly analyze brain scans, providing preliminary assessments before a physician’s final review. Beyond diagnostics, AI has potential applications in clinical decision-making, personalized medicine through genomic data analysis, and individualized therapeutic drug monitoring.
AI programs can assist radiologists in looking for subtle findings that may be concerning for cancer such as in mammograms.
Image Source: uchar
However, the potential of AI also comes with challenges, especially as its use grows beyond current regulatory framework. AI tools depend on data to learn and improve, meaning their accuracy is inherently shaped by the quality and quantity of available medical data. Amassing healthcare data also raises questions about privacy and protection for patients. Additionally, as AI becomes more involved in clinical decision-making, questions arise about accountability—if an error occurs in a diagnosis or treatment recommendation assisted by AI, should the responsibility fall solely on the clinician?
At the heart of the matter, there is a concern of the impact of AI on the patient–physician relationship. In a recent review article in Digital Health, which analyzed 21 studies on stakeholder perspectives, a recurring concern emerged: how AI might affect empathy in care. Over-prioritizing efficiency and automation could unintentionally diminish the human aspect of medicine. One solution to this concern is that AI could alleviate administrative tasks such as writing notes; this would allow healthcare professionals to spend more time with patients and focus on the art of medicine beyond algorithms and paperwork. To ensure the best outcomes for patient care, ongoing collaboration and education among AI developers, regulators, and healthcare providers are essential.
Featured Image: © totojang1977 /Adobe Stock
