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The imperative for regulatory oversight of large language models (or generative AI) in healthcare
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 …
sophisticated large language models (LLMs) such as GPT-4 and Bard. The potential …
Where medical statistics meets artificial intelligence
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 …
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 …
Intelligence (GenAI) in innovation management. To this end, it combines a review of the …
Early detection of cancer
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 …
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
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 …
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
Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies.
However, results have been limited to individual studies, lacking validation in multinational …
However, results have been limited to individual studies, lacking validation in multinational …
Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence
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 …
and effective diagnostic tools for the early screening of potential patients in point-of-care …
The fallacy of AI functionality
Deployed AI systems often do not work. They can be constructed haphazardly, deployed
indiscriminately, and promoted deceptively. However, despite this reality, scholars, the …
indiscriminately, and promoted deceptively. However, despite this reality, scholars, the …
Recent advances and clinical applications of deep learning in medical image analysis
Deep learning has received extensive research interest in develo** new medical image
processing algorithms, and deep learning based models have been remarkably successful …
processing algorithms, and deep learning based models have been remarkably successful …
Deep learning in histopathology: the path to the clinic
Abstract Machine learning techniques have great potential to improve medical diagnostics,
offering ways to improve accuracy, reproducibility and speed, and to ease workloads for …
offering ways to improve accuracy, reproducibility and speed, and to ease workloads for …