Physicians' ethical concerns about artificial intelligence in medicine: a qualitative study: "The final decision...

Area of Science:

• Medical Informatics
• Computational Neuroscience
• Artificial Intelligence in Healthcare

Background:

• Artificial Intelligence (AI) enables computational systems to perform human-like cognitive tasks, crucial for healthcare advancements.
• AI in healthcare focuses on data processing, pattern recognition, and prediction, enhancing prevention, diagnosis, and prognosis.
• AI does not involve sentience but leverages algorithms and learned experiences for medical applications.

Purpose of the Study:

• To investigate the acceptability of Artificial Intelligence in Medicine (AIIM).
• To identify technical, scientific, social, and ethical issues related to AIIM.
• To understand physicians' views, experiences, and attitudes toward AI in healthcare.

Main Methods:

• Qualitative study involving interviews with 25 physicians from diverse specialties.
• Content analysis to identify key ethical principles (confidentiality, beneficence, non-maleficence).
• Thematic analysis to explore advantages, risks, restrictions, and precautions of AIIM.

Main Results:

• Key ethical principles identified: confidentiality, beneficence, and non-maleficence; honesty was least invoked.
• Four salient themes emerged: advantages, risks, restrictions, and precautions.
• A need for multi-dimensional precautions in healthcare policies to mitigate identified risks was highlighted.

Conclusions:

• AIIM should be rationally guided, transparent, and impartial, functioning collaboratively with human professionals.
• Responsible AIIM can lead to fairer, more innovative healthcare, preserving human dignity and benefiting patients and society.
• Transparent AIIM that respects public interest represents a significant scientific innovation for humanity, enhancing medical accuracy and reducing physician workload.