AI in health and medicine
Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the
experiences of both clinicians and patients. We discuss key findings from a 2-year weekly�…
experiences of both clinicians and patients. We discuss key findings from a 2-year weekly�…
[HTML][HTML] Multimodal biomedical AI
The increasing availability of biomedical data from large biobanks, electronic health records,
medical imaging, wearable and ambient biosensors, and the lower cost of genome and�…
medical imaging, wearable and ambient biosensors, and the lower cost of genome and�…
The current and future state of AI interpretation of medical images
P Rajpurkar, MP Lungren�- New England Journal of Medicine, 2023 - Mass Medical Soc
The Current and Future State of AI Interpretation of Medical Images | New England Journal of
Medicine Skip to main content The New England Journal of Medicine homepage Advanced�…
Medicine Skip to main content The New England Journal of Medicine homepage Advanced�…
[HTML][HTML] Artificial intelligence for multimodal data integration in oncology
In oncology, the patient state is characterized by a whole spectrum of modalities, ranging
from radiology, histology, and genomics to electronic health records. Current artificial�…
from radiology, histology, and genomics to electronic health records. Current artificial�…
[HTML][HTML] Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review
AAH de Hond, AM Leeuwenberg, L Hooft…�- NPJ digital�…, 2022 - nature.com
While the opportunities of ML and AI in healthcare are promising, the growth of complex data-
driven prediction models requires careful quality and applicability assessment before they�…
driven prediction models requires careful quality and applicability assessment before they�…
Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer
S Foersch, C Glasner, AC Woerl, M Eckstein…�- Nature medicine, 2023 - nature.com
Although it has long been known that the immune cell composition has a strong prognostic
and predictive value in colorectal cancer (CRC), scoring systems such as the immunoscore�…
and predictive value in colorectal cancer (CRC), scoring systems such as the immunoscore�…
[HTML][HTML] 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�…
[HTML][HTML] A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
During the diagnostic process, clinicians leverage multimodal information, such as the chief
complaint, medical images and laboratory test results. Deep-learning models for aiding�…
complaint, medical images and laboratory test results. Deep-learning models for aiding�…
[HTML][HTML] Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade
Mental health is a basic need for a sustainable and developing society. The prevalence and
financial burden of mental illness have increased globally, and especially in response to�…
financial burden of mental illness have increased globally, and especially in response to�…
Artificial intelligence and machine learning for medical imaging: A technology review
Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of�…
of disruptive technical advances and impressive experimental results, notably in the field of�…