Foundation models for generalist medical artificial intelligence

M Moor, O Banerjee, ZSH Abad, HM Krumholz… - Nature, 2023 - nature.com
The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI)
models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …

Scientific discovery in the age of artificial intelligence

H Wang, T Fu, Y Du, W Gao, K Huang, Z Liu… - Nature, 2023 - nature.com
Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment
and accelerate research, helping scientists to generate hypotheses, design experiments …

The next generation of evidence-based medicine

V Subbiah - Nature medicine, 2023 - nature.com
Recently, advances in wearable technologies, data science and machine learning have
begun to transform evidence-based medicine, offering a tantalizing glimpse into a future of …

[HTML][HTML] Attention is not all you need: the complicated case of ethically using large language models in healthcare and medicine

S Harrer - EBioMedicine, 2023 - thelancet.com
Summary Large Language Models (LLMs) are a key component of generative artificial
intelligence (AI) applications for creating new content including text, imagery, audio, code …

The shaky foundations of large language models and foundation models for electronic health records

M Wornow, Y Xu, R Thapa, B Patel, E Steinberg… - npj Digital …, 2023 - nature.com
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 …

Thermal immuno-nanomedicine in cancer

Z Yang, D Gao, J Zhao, G Yang, M Guo… - Nature Reviews …, 2023 - nature.com
Immunotherapy has revolutionized the treatment of patients with cancer. However,
promoting antitumour immunity in patients with tumours that are resistant to these therapies …

Federated benchmarking of medical artificial intelligence with MedPerf

A Karargyris, R Umeton, MJ Sheller… - Nature Machine …, 2023 - nature.com
Medical artificial intelligence (AI) has tremendous potential to advance healthcare by
supporting and contributing to the evidence-based practice of medicine, personalizing …

The emerging role of Raman spectroscopy as an omics approach for metabolic profiling and biomarker detection toward precision medicine

G Cutshaw, S Uthaman, N Hassan… - Chemical …, 2023 - ACS Publications
Omics technologies have rapidly evolved with the unprecedented potential to shape
precision medicine. Novel omics approaches are imperative toallow rapid and accurate data …

Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review

A Shoeibi, M Khodatars, M Jafari, N Ghassemi… - Information …, 2023 - Elsevier
Brain diseases, including tumors and mental and neurological disorders, seriously threaten
the health and well-being of millions of people worldwide. Structural and functional …

Biomedgpt: A unified and generalist biomedical generative pre-trained transformer for vision, language, and multimodal tasks

K Zhang, J Yu, Z Yan, Y Liu, E Adhikarla, S Fu… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we introduce a unified and generalist Biomedical Generative Pre-trained
Transformer (BiomedGPT) model, which leverages self-supervision on large and diverse …