This commentary explores the potential impact of artificial intelligence (AI) in acute medicine, considering its possibilities and challenges. With its ability to simulate human intelligence, AI holds the promise for supporting timely decision-making and interventions in acute care. While AI has significantly contributed to improvements in various sectors, its implementation in healthcare remains limited. The development of AI tools tailored to acute medicine can improve clinical decision-making, and AI’s role in streamlining administrative tasks, exemplified by ChatGPT, may offer immediate benefits. However, challenges include uniform data collection, privacy, bias, and preserving the doctor-patient relationship. Collaboration among AI researchers, healthcare professionals, and policymakers is crucial to harness the potential of AI in acute medicine and create a future where advanced technologies synergistically enhance human expertise.
Artificial Intelligence: its Future and Impact on Acute Medicine
23rd September 2023
PMID: 37746684
| Authors | Affiliations |
|---|---|
| Michiel Schinkel | PhD, Center for Experimental and Molecular Medicine (CEMM), Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands. Department of Internal Medicine, Division of Acute Medicine, Amsterdam UMC, VU University, Amsterdam, The Netherlands. |
| Ketan Paranjape | PhD, Department of Internal Medicine, Division of Acute Medicine, Amsterdam UMC, VU University, Amsterdam, The Netherlands. |
| Sheena Charente Bhagirath | MD, Department of Internal Medicine, Division of Acute Medicine, Amsterdam UMC, VU University, Amsterdam, The Netherlands. |
| Prabath WB Nanayakkara | PhD, Department of Internal Medicine, Division of Acute Medicine, Amsterdam UMC, VU University, Amsterdam, The Netherlands. |
Artificial Intelligence: its Future and Impact on Acute Medicine
Cite this article as:
Schinkel M, Paranjape K, Bhagirath SC, Nanayakkara P. Artificial Intelligence: its Future and Impact on Acute Medicine. Acute Med. 2023;22(3):150-153. PMID: 37746684.
