Back
Top 24%
24.0%
Top 0.3%
12.8%
Top 0.2%
9.7%
Top 17%
8.4%
Top 2%
8.4%
Top 3%
6.4%
Top 5%
3.0%
Top 18%
2.1%
Top 14%
2.1%
Top 12%
1.7%
Top 0.2%
1.7%
Top 25%
1.0%
Top 92%
1.0%
Top 7%
1.0%
Top 5%
1.0%
Top 32%
0.8%
Top 21%
0.8%
Top 3%
0.8%
Top 4%
0.8%
Assessing AI tool use in among New York State clinicians
2026-01-30
primary care research
Title + abstract only
View on medRxiv
Show abstract
Artificial intelligence (AI) is dramatically changing the healthcare landscape by providing patients, clinicians, administrators, and public health professionals with tools aiming to improve efficiency, outcomes, and experience in health. As elsewhere, New York State (NYS) experiences high demand for - and high investment in - transformation in healthcare with AI tools, though little is known about clinicians use and interest in adopting AI tools in their work. A large share of the nations futur...
Predicted journal destinations
1
PLOS ONE
1737 training papers
2
Journal of Medical Internet Research
81 training papers
3
British Journal of General Practice
22 training papers
4
BMJ Open
553 training papers
5
PLOS Digital Health
88 training papers
6
npj Digital Medicine
85 training papers
7
Journal of the American Medical Informatics Association
53 training papers
8
PLOS Global Public Health
287 training papers
9
Frontiers in Public Health
135 training papers
10
JAMA Network Open
125 training papers
11
Journal of General Internal Medicine
19 training papers
12
International Journal of Environmental Research and Public Health
116 training papers
13
Scientific Reports
701 training papers
14
BMC Medical Informatics and Decision Making
36 training papers
15
BMC Health Services Research
43 training papers
16
BMC Medicine
155 training papers
17
Journal of Clinical Medicine
77 training papers
18
Frontiers in Digital Health
18 training papers
19
JMIRx Med
29 training papers