TY - JOUR
T1 - Artificial Intelligence
T2 - its Future and Impact on Acute Medicine
AU - Schinkel, Michiel
AU - Paranjape, Ketan
AU - Bhagirath, Sheena Charente
AU - Nanayakkara, Prabath W. B.
AU - Nanayakkara, Pwb
N1 - Publisher Copyright: © 2023 Rila Publications Ltd.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Acute Medicine
KW - Artificial Intelligence
KW - Data
KW - Machine learning
KW - Prediction
UR - http://www.scopus.com/inward/record.url?scp=85172426000&partnerID=8YFLogxK
U2 - https://doi.org/10.52964/AMJA.0950
DO - https://doi.org/10.52964/AMJA.0950
M3 - Review article
C2 - 37746684
SN - 1747-4884
VL - 22
SP - 150
EP - 153
JO - Acute Medicine
JF - Acute Medicine
IS - 3
ER -