Acute pancreatitis: diagnosis and treatment
P Szatmary, T Grammatikopoulos, W Cai, W Huang… - Drugs, 2022 - Springer
Acute pancreatitis is a common indication for hospital admission, increasing in incidence,
including in children, pregnancy and the elderly. Moderately severe acute pancreatitis with …
including in children, pregnancy and the elderly. Moderately severe acute pancreatitis with …
Machine learning in healthcare communication
S Siddique, JCL Chow - Encyclopedia, 2021 - mdpi.com
Definition Machine learning (ML) is a study of computer algorithms for automation through
experience. ML is a subset of artificial intelligence (AI) that develops computer systems …
experience. ML is a subset of artificial intelligence (AI) that develops computer systems …
Human, all too human? An all-around appraisal of the “artificial intelligence revolution” in medical imaging
F Coppola, L Faggioni, M Gabelloni… - Frontiers in …, 2021 - frontiersin.org
Artificial intelligence (AI) has seen dramatic growth over the past decade, evolving from a
niche super specialty computer application into a powerful tool which has revolutionized …
niche super specialty computer application into a powerful tool which has revolutionized …
Next-generation business models for artificial intelligence start-ups in the healthcare industry
I Kulkov - International Journal of Entrepreneurial Behavior & …, 2023 - emerald.com
Purpose Value creation based on artificial intelligence (AI) can significantly change global
healthcare. Diagnostics, therapy and drug discovery start-ups are some key forces behind …
healthcare. Diagnostics, therapy and drug discovery start-ups are some key forces behind …
[HTML][HTML] Artificial intelligence for healthcare and medical education: a systematic review
L Sun, C Yin, Q Xu, W Zhao - American journal of translational …, 2023 - ncbi.nlm.nih.gov
Background: Human society has entered the age of artificial intelligence, medical practice
and medical education are undergoing profound changes. Artificial intelligence (AI) is now …
and medical education are undergoing profound changes. Artificial intelligence (AI) is now …
Expectations for artificial intelligence (AI) in psychiatry
Abstract Purpose of Review Artificial intelligence (AI) is often presented as a transformative
technology for clinical medicine even though the current technology maturity of AI is low. The …
technology for clinical medicine even though the current technology maturity of AI is low. The …
What makes artificial intelligence exceptional in health technology assessment?
JC Bélisle-Pipon, V Couture, MC Roy… - Frontiers in artificial …, 2021 - frontiersin.org
The application of artificial intelligence (AI) may revolutionize the healthcare system, leading
to enhance efficiency by automatizing routine tasks and decreasing health-related costs …
to enhance efficiency by automatizing routine tasks and decreasing health-related costs …
Software‐assisted decision support in digital histopathology
R Huss, SE Coupland - The Journal of Pathology, 2020 - Wiley Online Library
Tissue diagnostics is the world of pathologists, and it is increasingly becoming digitalised to
leverage the enormous potential of personalised medicine and of stratifying patients …
leverage the enormous potential of personalised medicine and of stratifying patients …
[HTML][HTML] Are current clinical studies on artificial intelligence-based medical devices comprehensive enough to support a full health technology assessment? A …
L Farah, J Davaze-Schneider, T Martin… - Artificial intelligence in …, 2023 - Elsevier
Abstract Introduction Artificial Intelligence-based Medical Devices (AI-based MDs) are
experiencing exponential growth in healthcare. This study aimed to investigate whether …
experiencing exponential growth in healthcare. This study aimed to investigate whether …
Artificial intelligence for retinopathy of prematurity
RH Gensure, MF Chiang… - Current opinion in …, 2020 - journals.lww.com
Real-world implementation of artificial intelligence for ROP diagnosis will require massive
efforts targeted at developing standards for data acquisition, true external validation, and …
efforts targeted at developing standards for data acquisition, true external validation, and …