Artificial intelligence could transform healthcare, but will it live up to the hype?

SA Shah et al. Use of artificial intelligence-based detection of diabetic retinopathy in the US. JAMA Ophthalmology. Vol. 142, December 2024, p. 1171. doi:10.1001/jamaophthalmol.2024.4493.

R. Amin et al. The immune digital twin project: a comprehensive mechanistic model of the human immune system. bioRxiv. 31 July 2024. doi:10.1101/2020.03.11.988238.

JW Kim et al. The surgical robot transformer (SRT): imitative learning for surgical tasks. arXiv: 2407.12998. 17 July 2024. doi:10.48550/arXiv.2407.12998.

L. Buturovic et al. Development of machine learning classifiers for blood-based diagnosis and prognosis of suspected acute infections and sepsis. arXiv:2407.02737. 3 July 2024. doi:10.48550/arXiv.2407.02737.

MA Merrill et al. Transforming wearable data into health knowledge using agents of large linguistic patterns. arXiv: 2406.06464. 10 June 2024. doi:10.48550/arXiv.2406.06464.

J. Cosentino et al. Towards a big language model of personal health. arXiv: 2406.06474. 10 June 2024. doi:10.48550/arXiv.2406.06474.

F. Wong et al. Discovering a Structural Class of Antibiotics with Explainable Deep Learning. Nature. Vol. 626, February 11, 2024, p. 177. doi: 10.1038/s41586-023-06887-8.

AL MacNeill, S. Doucet and A. Luke. Effectiveness of a mental health chatbot for people with chronic illness: randomized controlled trial. Formative Research JMIR. Vol. 8, 2024, e50025. doi: 10.2196/50025.

G. Liu et al. Deep learning-guided discovery of an antibiotic target Acinetobacter baumannii. Nature Chemical Biology. Vol. 19, November 2023, p. 1342. doi:10.1038/s41589-023-01349-8.

MDR Haque and S. Rubya. A review of chatbot-based mobile mental health apps: insights from app description and user feedback. JMIR mHealth and uHealth. Vol 11, 2023 e44838. doi: 10.2196/44838.

KE Henry et al. Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment time. Nature Medicine. Vol. 28, July 2022, p. 1447. doi:10.1038/s41591-022-01895-z.

R. Adams et al. Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis. Vol. 28, July 2022, p. 1455. doi: 10.1038/s41591-022-01894-0.

H. Saeidi et al. Autonomous laparoscopic robotic surgery for intestinal anastomosis. Scientific robotics. Vol. 7, January 2022. doi:10.1126/scirobotics.abj2908.

G. Coorey et al. The digital twin of health: advancing precision cardiovascular medicine. Nature Reviews Cardiology. Vol. 18, December 2021, p. 803. doi:10.1038/s41569-021-00630-4.

JM Stokes et al. A deep learning approach to antibiotic discovery. Cell. Vol. 180, February 20, 2020, p. 688. doi:10.1016/j.cell.2020.01.021.

#Artificial #intelligence #transform #healthcare #live #hype
Image Source : www.sciencenews.org

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top