Physicians’ ethical concerns about artificial intelligence in medicine
A qualitative study: “The final decision should rest with a human”
Bibliographic Data
| ID | 22089699 |
|---|---|
| Authors | Fatma Kahraman (Acıbadem University), Aysenur Aktas (0000-0003-0020-1411, Acıbadem University), Serra Bayrakceken (Acıbadem University), Tuna Çakar (0000-0001-8594-7399, MEF University), Hande Serim Tarcan (MEF University), Bugrahan Bayram (Kessler Foundation), Berk Durak (Acıbadem University), Yeşim Işıl Ülman (0000-0001-5601-1508, Acıbadem University), Yesim Isil Ulman |
| Year | 2024 |
| Volume | 12 |
| Pages | 1428396-1428396 |
| Publication date | 2024-11-27 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2024.1428396 |
| PMID | 39664534 |
| OpenAlex | W4404774554 |
| Language | EN |
| Citations received | 3 |
| References cited | 47 |
Background/aim: Artificial Intelligence (AI) is the capability of computational systems to perform tasks that require human-like cognitive functions, such as reasoning, learning, and decision-making. Unlike human intelligence, AI does not involve sentience or consciousness but focuses on data processing, pattern recognition, and prediction through algorithms and learned experiences. In healthcare including neuroscience, AI is valuable for improving prevention, diagnosis, prognosis, and surveillance. Methods: This qualitative study aimed to investigate the acceptability of AI in Medicine (AIIM) and to elucidate any technical and scientific, as well as social and ethical issues involved. Twenty-five doctors from various specialties were carefully interviewed regarding their views, experience, knowledge, and attitude toward AI in healthcare. Results: . Alongside the advantages, there were many limitations and risks. The study revealed a perceived need for precautions to be embedded in healthcare policies to counter the risks discussed. These precautions need to be multi-dimensional. Conclusion: The authors conclude that AI should be rationally guided, function transparently, and produce impartial results. It should assist human healthcare professionals collaboratively. This kind of AI will permit fairer, more innovative healthcare which benefits patients and society whilst preserving human dignity. It can foster accuracy and precision in medical practice and reduce the workload by assisting physicians during clinical tasks. AIIM that functions transparently and respects the public interest can be an inspiring scientific innovation for humanity
Engineering ethics · Management science · Medical education · Artificial Intelligence in Healthcare and Education · Clinical Reasoning and Diagnostic Skills · Engineering · Machine Learning in Healthcare · Medicine · Psychology
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Predicting the Future — Big Data, Machine Learning, and Clinical Medicine
Machine learning in medicine
On the ethics of algorithmic decision-making in healthcare
The potential for artificial intelligence in healthcare
Explainability for artificial intelligence in healthcare
High-performance medicine
The global landscape of AI ethics guidelines
AI4People—An Ethical Framework for a Good AI Society
Misplaced Trust and Distrust
Primer on an ethics of AI-based decision support systems in the clinic
Responsibility, second opinions and peer-disagreement
Artificial intelligence in medicine and the disclosure of risks
Artificial Intelligence and Black‐Box Medical Decisions
Artificial Intelligence and Patient-Centered Decision-Making
Transparency in Algorithmic and Human Decision-Making
Reflecting on reflexive thematic analysis
The ethics of algorithms
| Citations per year | 3 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |