The shaky foundations of large language models and foundation models for electronic health records
The success of foundation models such as ChatGPT and AlphaFold has spurred significant
interest in building similar models for electronic medical records (EMRs) to improve patient …
interest in building similar models for electronic medical records (EMRs) to improve patient …
Edge AI for early detection of chronic diseases and the spread of infectious diseases: opportunities, challenges, and future directions
E Badidi - Future Internet, 2023 - mdpi.com
Edge AI, an interdisciplinary technology that enables distributed intelligence with edge
devices, is quickly becoming a critical component in early health prediction. Edge AI …
devices, is quickly becoming a critical component in early health prediction. Edge AI …
A scoping review of artificial intelligence-based methods for diabetes risk prediction
The increasing prevalence of type 2 diabetes mellitus (T2DM) and its associated health
complications highlight the need to develop predictive models for early diagnosis and …
complications highlight the need to develop predictive models for early diagnosis and …
The shaky foundations of clinical foundation models: a survey of large language models and foundation models for EMRs
The successes of foundation models such as ChatGPT and AlphaFold have spurred
significant interest in building similar models for electronic medical records (EMRs) to …
significant interest in building similar models for electronic medical records (EMRs) to …
The role of AI in hospitals and clinics: transforming healthcare in the 21st century
S Maleki Varnosfaderani, M Forouzanfar - Bioengineering, 2024 - mdpi.com
As healthcare systems around the world face challenges such as escalating costs, limited
access, and growing demand for personalized care, artificial intelligence (AI) is emerging as …
access, and growing demand for personalized care, artificial intelligence (AI) is emerging as …
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics
Advancements in artificial intelligence (AI) have driven extensive research into developing
diverse multimodal data analysis approaches for smart healthcare. There is a scarcity of …
diverse multimodal data analysis approaches for smart healthcare. There is a scarcity of …
[HTML][HTML] Artificial Intelligence–Based Methods for Integrating Local and Global Features for Brain Cancer Imaging: Scoping Review
Background: Transformer-based models are gaining popularity in medical imaging and
cancer imaging applications. Many recent studies have demonstrated the use of transformer …
cancer imaging applications. Many recent studies have demonstrated the use of transformer …
Revolutionizing biological science: The synergy of genomics in health, bioinformatics, agriculture, and artificial intelligence
A Biswas, A Kumari, DS Gaikwad… - OMICS: A Journal of …, 2023 - liebertpub.com
With climate emergency, COVID-19, and the rise of planetary health scholarship, the binary
of human and ecosystem health has been deeply challenged. The interdependence of …
of human and ecosystem health has been deeply challenged. The interdependence of …
PaCL: Patient-aware contrastive learning through metadata refinement for generalized early disease diagnosis
Early diagnosis plays a pivotal role in effectively treating numerous diseases, especially in
healthcare scenarios where prompt and accurate diagnoses are essential. Contrastive …
healthcare scenarios where prompt and accurate diagnoses are essential. Contrastive …
Comprehensive review of multimodal medical data analysis: Open issues and future research directions
Over the past few decades, the enormous expansion of medical data has led to searching
for ways of data analysis in smart healthcare systems. Acquisition of data from pictures …
for ways of data analysis in smart healthcare systems. Acquisition of data from pictures …