Benefit-Risk Assessment of ChatGPT Applications in the Field of Diabetes and Metabolic Illnesses: A Qualitative Study.
Ammar Abdulrahman JairounSabaa Saleh Al-HemyariMoyad ShahwanTariq Al-QirimMonzer ShahwanPublished in: Clinical medicine insights. Endocrinology and diabetes (2024)
Regulatory frameworks must evolve to keep pace with the rapid adoption of AI in healthcare. Sustained attention to ethical considerations, including obtaining patient consent, safeguarding data privacy, ensuring accountability, and promoting fairness, remains critical. Despite its potential impact on the human aspect of healthcare, AI will remain an integral component of patient-centered care. Striking a balance between AI-assisted decision-making and human expertise is essential to uphold trust and provide comprehensive patient care.
Keyphrases
- healthcare
- artificial intelligence
- endothelial cells
- risk assessment
- decision making
- health information
- big data
- induced pluripotent stem cells
- electronic health record
- cardiovascular disease
- type diabetes
- pluripotent stem cells
- palliative care
- machine learning
- transcription factor
- human health
- skeletal muscle
- deep learning
- chronic pain
- adipose tissue
- affordable care act
- quantum dots
- sensitive detection
- loop mediated isothermal amplification