[HTML][HTML] Microbiome preterm birth DREAM challenge: crowdsourcing machine learning approaches to advance preterm birth research

JL Golob, TT Oskotsky, AS Tang, A Roldan… - Cell Reports …, 2024 - cell.com
Every year, 11% of infants are born preterm with significant health consequences, with the
vaginal microbiome a risk factor for preterm birth. We crowdsource models to predict (1) …

Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach

CJ Staes, AC Beck, G Chalkidis… - Journal of the …, 2024 - academic.oup.com
Objectives To design an interface to support communication of machine learning (ML)-
based prognosis for patients with advanced solid tumors, incorporating oncologists' needs …

[HTML][HTML] Ethical issues in pain and palliation

M Cascella, A Laudani, G Scarpati… - Current Opinion in …, 2024 - journals.lww.com
Ethical issues in pain and palliation : Current Opinion in Anesthesiology Ethical issues in pain
and palliation : Current Opinion in Anesthesiology Log in or Register Subscribe to …

Prospective evaluation of artificial intelligence (AI) applications for use in cancer pathways following diagnosis: a systematic review

S Macheka, PY Ng, O Ginsburg, A Hope… - BMJ …, 2024 - researchonline.lshtm.ac.uk
The role of artificial intelligence (AI) in cancer care has evolved in the face of ageing
population, workforce shortages and technological advancement. Despite recent uptake in …

Machine learning to allocate palliative care consultations during cancer treatment

JC He, GT Moffat, S Podolsky, F Khan, N Liu… - Journal of Clinical …, 2024 - ascopubs.org
PURPOSE For patients with advanced cancer, early consultations with palliative care (PC)
specialists reduce costs, improve quality of life, and prolong survival. However, capacity …

Spending Analysis of Machine Learning–Based Communication Nudges in Oncology

TA Patel, J Heintz, J Chen, M LaPergola, WB Bilker… - NEJM AI, 2024 - ai.nejm.org
Abstract Background Serious illness conversations (SICs) in the outpatient setting may
improve mood and quality of life among patients with cancer and decrease aggressive end …

Artificial intelligence to unlock real‐world evidence in clinical oncology: A primer on recent advances

AK Bryant, R Zamora‐Resendiz, X Dai… - Cancer …, 2024 - Wiley Online Library
Purpose Real world evidence is crucial to understanding the diffusion of new oncologic
therapies, monitoring cancer outcomes, and detecting unexpected toxicities. In practice, real …

Applications of Artificial Intelligence in Prostate Cancer Care: A Path to Enhanced Efficiency and Outcomes

IB Riaz, S Harmon, Z Chen, SAA Naqvi… - American Society of …, 2024 - ascopubs.org
The landscape of prostate cancer care has rapidly evolved. We have transitioned from the
use of conventional imaging, radical surgeries, and single-agent androgen deprivation …

Tumor Is Not the Only Target: Ensuring Equitable Person-Centered Supportive Care in the Era of Precision Medicine

R Sedhom, GE Bates-Pappas, J Feldman… - American Society of …, 2024 - ascopubs.org
Communication in oncology has always been challenging. The new era of precision
oncology creates prognostic uncertainty. Still, person-centered care requires attention to …

Let Us Have the Conversation: Serious Illness Communication in Oncology: Definitions, Barriers, and Successful Approaches

DM Shilling, CR Manz, JJ Strand… - American Society of …, 2024 - ascopubs.org
Serious illness communications are crucial elements of care delivery for patients with
cancer. High-quality serious illness communications are composed of open, honest …