The imperative for regulatory oversight of large language models (or generative AI) in healthcare

B Meskó, EJ Topol - NPJ digital medicine, 2023 - nature.com
The rapid advancements in artificial intelligence (AI) have led to the development of
sophisticated large language models (LLMs) such as GPT-4 and Bard. The potential …

Where medical statistics meets artificial intelligence

DJ Hunter, C Holmes - New England Journal of Medicine, 2023 - Mass Medical Soc
Where Medical Statistics Meets Artificial Intelligence | New England Journal of Medicine Skip to
main content The New England Journal of Medicine homepage Advanced Search SEARCH …

[HTML][HTML] Generative artificial intelligence in innovation management: A preview of future research developments

M Mariani, YK Dwivedi - Journal of Business Research, 2024 - Elsevier
This study outlines the future research opportunities related to Generative Artificial
Intelligence (GenAI) in innovation management. To this end, it combines a review of the …

Early detection of cancer

D Crosby, S Bhatia, KM Brindle, LM Coussens, C Dive… - Science, 2022 - science.org
Survival improves when cancer is detected early. However,~ 50% of cancers are at an
advanced stage when diagnosed. Early detection of cancer or precancerous change allows …

Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

B Vasey, M Nagendran, B Campbell, DA Clifton… - bmj, 2022 - bmj.com
A growing number of artificial intelligence (AI)-based clinical decision support systems are
showing promising performance in preclinical, in silico, evaluation, but few have yet …

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

W Bulten, K Kartasalo, PHC Chen, P Ström… - Nature medicine, 2022 - nature.com
Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies.
However, results have been limited to individual studies, lacking validation in multinational …

Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence

B Wang, Y Li, M Zhou, Y Han, M Zhang, Z Gao… - Nature …, 2023 - nature.com
The frequent outbreak of global infectious diseases has prompted the development of rapid
and effective diagnostic tools for the early screening of potential patients in point-of-care …

The fallacy of AI functionality

ID Raji, IE Kumar, A Horowitz, A Selbst - … of the 2022 ACM Conference on …, 2022 - dl.acm.org
Deployed AI systems often do not work. They can be constructed haphazardly, deployed
indiscriminately, and promoted deceptively. However, despite this reality, scholars, the …

Recent advances and clinical applications of deep learning in medical image analysis

X Chen, X Wang, K Zhang, KM Fung, TC Thai… - Medical image …, 2022 - Elsevier
Deep learning has received extensive research interest in develo** new medical image
processing algorithms, and deep learning based models have been remarkably successful …

Deep learning in histopathology: the path to the clinic

J Van der Laak, G Litjens, F Ciompi - Nature medicine, 2021 - nature.com
Abstract Machine learning techniques have great potential to improve medical diagnostics,
offering ways to improve accuracy, reproducibility and speed, and to ease workloads for …