Artificial intelligence in oncology: chances and pitfalls
JN Kather - Journal of Cancer Research and Clinical Oncology, 2023 - Springer
Artificial intelligence (AI) has been available in rudimentary forms for many decades. Early AI
programs were successful in niche areas such as chess or handwriting recognition …
programs were successful in niche areas such as chess or handwriting recognition …
[HTML][HTML] Optimizing artificial intelligence in sepsis management: Opportunities in the present and looking closely to the future
D O'Reilly, J McGrath, I Martin-Loeches - Journal of Intensive Medicine, 2023 - Elsevier
Sepsis remains a major challenge internationally for healthcare systems. Its incidence is
rising due to poor public awareness and delays in its recognition and subsequent …
rising due to poor public awareness and delays in its recognition and subsequent …
[HTML][HTML] Microbiome preterm birth DREAM challenge: crowdsourcing machine learning approaches to advance preterm birth research
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) …
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 …
based prognosis for patients with advanced solid tumors, incorporating oncologists' needs …
Advanced care planning for hospitalized patients following clinician notification of patient mortality by a machine learning algorithm
Importance Goal-concordant care is an ongoing challenge in hospital settings. Identification
of high mortality risk within 30 days may call attention to the need to have serious illness …
of high mortality risk within 30 days may call attention to the need to have serious illness …
Computation of the distribution of model accuracy statistics in machine learning: comparison between analytically derived distributions and simulation‐based methods
AA Huang, SY Huang - Health science reports, 2023 - Wiley Online Library
Abstract Background and Aims All fields have seen an increase in machine‐learning
techniques. To accurately evaluate the efficacy of novel modeling methods, it is necessary to …
techniques. To accurately evaluate the efficacy of novel modeling methods, it is necessary to …
Patient portals to elicit essential patient-reported elements of communication supporting person-centered oncologic care: A pilot study of the PERSON approach
AS Epstein, A Knezevic, DR Romano… - JCO Clinical Cancer …, 2023 - ascopubs.org
PURPOSE Patient portal technology offers important new opportunities to support person-
centered clinician-patient communication. METHODS Questionnaires relating to …
centered clinician-patient communication. METHODS Questionnaires relating to …
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 …
specialists reduce costs, improve quality of life, and prolong survival. However, capacity …
Clinician-and Patient-Directed Communication Strategies for Patients With Cancer at High Mortality Risk: A Cluster Randomized Trial
SU Takvorian, P Gabriel, EP Wileyto… - JAMA Network …, 2024 - jamanetwork.com
Importance Serious illness conversations (SICs) that elicit patients' values, goals, and care
preferences reduce anxiety and depression and improve quality of life, but occur …
preferences reduce anxiety and depression and improve quality of life, but occur …
Spending Analysis of Machine Learning–Based Communication Nudges in Oncology
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 …
improve mood and quality of life among patients with cancer and decrease aggressive end …