Artificial intelligence in molecular medicine

B Gomes, EA Ashley - New England Journal of Medicine, 2023 - Mass Medical Soc
Artificial Intelligence in Molecular Medicine | New England Journal of Medicine Skip to main
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[HTML][HTML] Randomised controlled trials evaluating artificial intelligence in clinical practice: a sco** review

R Han, JN Acosta, Z Shakeri, JPA Ioannidis… - The lancet digital …, 2024 - thelancet.com
This sco** review of randomised controlled trials on artificial intelligence (AI) in clinical
practice reveals an expanding interest in AI across clinical specialties and locations. The …

Large-scale pancreatic cancer detection via non-contrast CT and deep learning

K Cao, Y **a, J Yao, X Han, L Lambert, T Zhang… - Nature medicine, 2023 - nature.com
Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically
detected late and at an inoperable stage. Early or incidental detection is associated with …

Heterogeneity and predictors of the effects of AI assistance on radiologists

F Yu, A Moehring, O Banerjee, T Salz, N Agarwal… - Nature Medicine, 2024 - nature.com
The integration of artificial intelligence (AI) in medical image interpretation requires effective
collaboration between clinicians and AI algorithms. Although previous studies demonstrated …

Considering biased data as informative artifacts in AI-assisted health care

K Ferryman, M Mackintosh… - New England Journal of …, 2023 - Mass Medical Soc
Considering Biased Data as Informative Artifacts in AI-Assisted Health Care | New England
Journal of Medicine Skip to main content The New England Journal of Medicine homepage …

Combining human expertise with artificial intelligence: Experimental evidence from radiology

N Agarwal, A Moehring, P Rajpurkar, T Salz - 2023 - nber.org
ABSTRACT Full automation using Artificial Intelligence (AI) predictions may not be optimal if
humans can access contextual information. We study human-AI collaboration using an …

[HTML][HTML] AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications

AB Rashid, AK Kausik - Hybrid Advances, 2024 - Elsevier
Artificial Intelligence (AI) technology's rapid advancement has significantly changed various
industries' operations. This comprehensive review paper aims to provide readers with a …

Evaluating progress in automatic chest x-ray radiology report generation

F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis… - Patterns, 2023 - cell.com
Artificial intelligence (AI) models for automatic generation of narrative radiology reports from
images have the potential to enhance efficiency and reduce the workload of radiologists …

Environmental sustainability and AI in radiology: a double-edged sword

FX Doo, J Vosshenrich, TS Cook, L Moy… - Radiology, 2024 - pubs.rsna.org
According to the World Health Organization, climate change is the single biggest health
threat facing humanity. The global health care system, including medical imaging, must …

Collaboration between clinicians and vision–language models in radiology report generation

R Tanno, DGT Barrett, A Sellergren, S Ghaisas… - Nature Medicine, 2024 - nature.com
Automated radiology report generation has the potential to improve patient care and reduce
the workload of radiologists. However, the path toward real-world adoption has been …