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 …

[HTML][HTML] How can we manage biases in artificial intelligence systems–A systematic literature review

PS Varsha - International Journal of Information Management Data …, 2023 - Elsevier
Artificial intelligence is similar to human intelligence, and robots in organisations always
perform human tasks. However, AI encounters a variety of biases during its operational …

Out of one, many: Using language models to simulate human samples

LP Argyle, EC Busby, N Fulda, JR Gubler… - Political …, 2023 - cambridge.org
We propose and explore the possibility that language models can be studied as effective
proxies for specific human subpopulations in social science research. Practical and …

[HTML][HTML] Assessing the utility of ChatGPT throughout the entire clinical workflow: development and usability study

A Rao, M Pang, J Kim, M Kamineni, W Lie… - Journal of Medical …, 2023 - jmir.org
Background Large language model (LLM)–based artificial intelligence chatbots direct the
power of large training data sets toward successive, related tasks as opposed to single-ask …

Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale

LP Argyle, CA Bail, EC Busby… - Proceedings of the …, 2023 - National Acad Sciences
Political discourse is the soul of democracy, but misunderstanding and conflict can fester in
divisive conversations. The widespread shift to online discourse exacerbates many of these …

[HTML][HTML] From promise to practice: towards the realisation of AI-informed mental health care

N Koutsouleris, TU Hauser, V Skvortsova… - The Lancet Digital …, 2022 - thelancet.com
In this Series paper, we explore the promises and challenges of artificial intelligence (AI)-
based precision medicine tools in mental health care from clinical, ethical, and regulatory …

Ethical, legal, and social considerations of AI-based medical decision-support tools: A scoping review

A Čartolovni, A Tomičić, EL Mosler - International Journal of Medical …, 2022 - Elsevier
Introduction Recent developments in the field of Artificial Intelligence (AI) applied to
healthcare promise to solve many of the existing global issues in advancing human health …

Assessing the utility of ChatGPT throughout the entire clinical workflow

A Rao, M Pang, J Kim, M Kamineni, W Lie, AK Prasad… - MedRxiv, 2023 - medrxiv.org
IMPORTANCE Large language model (LLM) artificial intelligence (AI) chatbots direct the
power of large training datasets towards successive, related tasks, as opposed to single-ask …

[HTML][HTML] Bias in AI-based models for medical applications: challenges and mitigation strategies

M Mittermaier, MM Raza, JC Kvedar - NPJ Digital Medicine, 2023 - nature.com
Artificial intelligence systems are increasingly being applied to healthcare. In surgery, AI
applications hold promise as tools to predict surgical outcomes, assess technical skills, or …

[HTML][HTML] Human-centered artificial intelligence: The superlative approach to achieve sustainable development goals in the fourth industrial revolution

D Mhlanga - Sustainability, 2022 - mdpi.com
Artificial intelligence (AI) is currently being developed by large corporations, and
governments all over the world are yearning for it. AI isn'ta futuristic concept; it is already …