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[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 …
intelligence (AI) applications for creating new content including text, imagery, audio, code …
Drawbacks of artificial intelligence and their potential solutions in the healthcare sector
Artificial intelligence (AI) has the potential to make substantial progress toward the goal of
making healthcare more personalized, predictive, preventative, and interactive. We believe …
making healthcare more personalized, predictive, preventative, and interactive. We believe …
Artificial intelligence and machine learning technology driven modern drug discovery and development
C Sarkar, B Das, VS Rawat, JB Wahlang… - International Journal of …, 2023 - mdpi.com
The discovery and advances of medicines may be considered as the ultimate relevant
translational science effort that adds to human invulnerability and happiness. But advancing …
translational science effort that adds to human invulnerability and happiness. But advancing …
Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm
G Krishnan, S Singh, M Pathania, S Gosavi… - Frontiers in artificial …, 2023 - frontiersin.org
As the demand for quality healthcare increases, healthcare systems worldwide are
grappling with time constraints and excessive workloads, which can compromise the quality …
grappling with time constraints and excessive workloads, which can compromise the quality …
AI in drug discovery and its clinical relevance
The COVID-19 pandemic has emphasized the need for novel drug discovery process.
However, the journey from conceptualizing a drug to its eventual implementation in clinical …
However, the journey from conceptualizing a drug to its eventual implementation in clinical …
[HTML][HTML] The emergence of AI-based wearable sensors for digital health technology: a review
Disease diagnosis and monitoring using conventional healthcare services is typically
expensive and has limited accuracy. Wearable health technology based on flexible …
expensive and has limited accuracy. Wearable health technology based on flexible …
On the opportunities and risks of foundation models
AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
Artificial intelligence in pharmaceutical and healthcare research
SK Bhattamisra, P Banerjee, P Gupta… - Big Data and Cognitive …, 2023 - mdpi.com
Artificial intelligence (AI) is a branch of computer science that allows machines to work
efficiently, can analyze complex data. The research focused on AI has increased …
efficiently, can analyze complex data. The research focused on AI has increased …
Artificial intelligence applied to clinical trials: opportunities and challenges
S Askin, D Burkhalter, G Calado, S El Dakrouni - Health and technology, 2023 - Springer
Abstract Background Clinical Trials (CTs) remain the foundation of safe and effective drug
development. Given the evolving data-driven and personalized medicine approach in …
development. Given the evolving data-driven and personalized medicine approach in …
Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …
companies and chemical scientists. However, low efficacy, off-target delivery, time …