[HTML][HTML] Looking beyond the hype: applied AI and machine learning in translational medicine

TS Toh, F Dondelinger, D Wang - EBioMedicine, 2019 - thelancet.com
Big data problems are becoming more prevalent for laboratory scientists who look to make
clinical impact. A large part of this is due to increased computing power, in parallel with new …

The debate on the ethics of AI in health care: a reconstruction and critical review

J Morley, C Machado, C Burr, J Cowls… - Available at SSRN …, 2019 - papers.ssrn.com
Healthcare systems across the globe are struggling with increasing costs and worsening
outcomes. This presents those responsible for overseeing healthcare with a challenge …

[HTML][HTML] The rhetoric and reality of anthropomorphism in artificial intelligence

D Watson - Minds and Machines, 2019 - Springer
Artificial intelligence (AI) has historically been conceptualized in anthropomorphic terms.
Some algorithms deploy biomimetic designs in a deliberate attempt to effect a sort of digital …

Designing AI for social good: Seven essential factors

J Cowls, T King, M Taddeo, L Floridi - Available at SSRN 3388669, 2019 - papers.ssrn.com
Abstract The idea of Artificial Intelligence for Social Good (henceforth AI4SG) is gaining
traction within information societies in general and the AI community in particular. It has the …

Unravelling machine learning: insights in respiratory medicine

E Angelini, S Dahan, A Shah - European Respiratory Journal, 2019 - Eur Respiratory Soc
Unravelling machine learning: insights in respiratory medicine | European Respiratory Society
Skip to main content Main menu Home Current issue ERJ Early View Past issues ERS …

[HTML][HTML] Modified colon leakage score to predict anastomotic leakage in patients who underwent left-sided colorectal surgery

SU Yang, EJ Park, SH Baik, KY Lee, J Kang - Journal of clinical medicine, 2019 - mdpi.com
Colon leakage score (CLS) was introduced as a clinical tool to predict anastomotic leakage
(AL) in patients who underwent left-sided colorectal surgery, but its clinical validity has not …

[PDF][PDF] Deep medicine, artificial intelligence, and the practising clinician

C Matuchansky - The Lancet, 2019 - Elsevier
First, in primary medical practice, a major weakness of machine learning algorithms―many
of which are still black boxes2―is the lack of explanation regarding their diagnostic and …

[HTML][HTML] Estandarización y automatización en medicina: El deber de cuidado del profesional entre la legítima confianza y la debida prudencia

A Perin - Revista chilena de derecho y tecnología, 2019 - SciELO Chile
En la primera parte de este artículo se retoma el debate sobre la responsabilidad penal por
mala práctica médica imprudente ante la progresiva estandarización de las prácticas …

[HTML][HTML] Does artificial intelligence (AI) constitute an opportunity or a threat to the future of medicine as we know it?

M Kabir - Future healthcare journal, 2019 - ncbi.nlm.nih.gov
Artifical intelligence (AI) is the future and is already part of our everyday life. Be it voice
recognition assistance with Apple's Siri or Amazon's Alexa, or algorithms that filter your …

[HTML][HTML] Spurious, emergent laws in number worlds

CS Calude, K Svozil - Philosophies, 2019 - mdpi.com
We study some aspects of the emergence of lógos from xáos on a basal model of the
universe using methods and techniques from algorithmic information and Ramsey theories …