Artificial intelligence for multimodal data integration in oncology

J Lipkova, RJ Chen, B Chen, MY Lu, M Barbieri… - Cancer cell, 2022 - cell.com
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 …

Artificial intelligence in histopathology: enhancing cancer research and clinical oncology

A Shmatko, N Ghaffari Laleh, M Gerstung, JN Kather - Nature cancer, 2022 - nature.com
Artificial intelligence (AI) methods have multiplied our capabilities to extract quantitative
information from digital histopathology images. AI is expected to reduce workload for human …

Diagnostic accuracy of differential-diagnosis lists generated by generative pretrained transformer 3 chatbot for clinical vignettes with common chief complaints: a pilot …

T Hirosawa, Y Harada, M Yokose, T Sakamoto… - International journal of …, 2023 - mdpi.com
The diagnostic accuracy of differential diagnoses generated by artificial intelligence (AI)
chatbots, including the generative pretrained transformer 3 (GPT-3) chatbot (ChatGPT-3) is …

AI in health and medicine

P Rajpurkar, E Chen, O Banerjee, EJ Topol - Nature medicine, 2022 - nature.com
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 …

[HTML][HTML] Artificial intelligence and business value: A literature review

IM Enholm, E Papagiannidis, P Mikalef… - Information Systems …, 2022 - Springer
Artificial Intelligence (AI) are a wide-ranging set of technologies that promise several
advantages for organizations in terms off added business value. Over the past few years …

Fairness and bias in artificial intelligence: A brief survey of sources, impacts, and mitigation strategies

E Ferrara - Sci, 2023 - mdpi.com
The significant advancements in applying artificial intelligence (AI) to healthcare decision-
making, medical diagnosis, and other domains have simultaneously raised concerns about …

The Lancet and Financial Times Commission on governing health futures 2030: growing up in a digital world

I Kickbusch, D Piselli, A Agrawal, R Balicer, O Banner… - The Lancet, 2021 - thelancet.com
Executive summary From the short-term and long-term effects of the COVID-19 pandemic to
the health insecurities brought about by climate change, health futures are unfolding in an …

The role of artificial intelligence in early cancer diagnosis

B Hunter, S Hindocha, RW Lee - Cancers, 2022 - mdpi.com
Simple Summary Diagnosing cancer at an early stage increases the chance of performing
effective treatment in many tumour groups. Key approaches include screening patients who …

[HTML][HTML] Bias in artificial intelligence algorithms and recommendations for mitigation

LH Nazer, R Zatarah, S Waldrip, JXC Ke… - PLOS Digital …, 2023 - journals.plos.org
The adoption of artificial intelligence (AI) algorithms is rapidly increasing in healthcare. Such
algorithms may be shaped by various factors such as social determinants of health that can …

Large ai models in health informatics: Applications, challenges, and the future

J Qiu, L Li, J Sun, J Peng, P Shi… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Large AI models, or foundation models, are models recently emerging with massive scales
both parameter-wise and data-wise, the magnitudes of which can reach beyond billions …