[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 …

Drawbacks of artificial intelligence and their potential solutions in the healthcare sector

B Khan, H Fatima, A Qureshi, S Kumar… - Biomedical Materials & …, 2023 - Springer
Artificial intelligence (AI) has the potential to make substantial progress toward the goal of
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 …

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 …

AI in drug discovery and its clinical relevance

R Qureshi, M Irfan, TM Gondal, S Khan, J Wu, MU Hadi… - Heliyon, 2023 - cell.com
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 …

[HTML][HTML] The emergence of AI-based wearable sensors for digital health technology: a review

S Shajari, K Kuruvinashetti, A Komeili, U Sundararaj - Sensors, 2023 - mdpi.com
Disease diagnosis and monitoring using conventional healthcare services is typically
expensive and has limited accuracy. Wearable health technology based on flexible …

On the opportunities and risks of foundation models

R Bommasani, DA Hudson, E Adeli, R Altman… - arxiv preprint arxiv …, 2021 - arxiv.org
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 …

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 …

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 …

Artificial intelligence to deep learning: machine intelligence approach for drug discovery

R Gupta, D Srivastava, M Sahu, S Tiwari, RK Ambasta… - Molecular …, 2021 - Springer
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …