Confronting racially exclusionary practices in the acquisition and analyses of neuroimaging data

JA Ricard, TC Parker, E Dhamala, J Kwasa… - Nature …, 2023 - nature.com
Across the brain sciences, institutions and individuals have begun to actively acknowledge
and address the presence of racism, bias, and associated barriers to inclusivity within our …

Suicide and self-harm

D Knipe, P Padmanathan, G Newton-Howes, LF Chan… - The Lancet, 2022 - thelancet.com
Suicide and self-harm are major health and societal issues worldwide, but the greatest
burden of both behaviours occurs in low-income and middle-income countries. Although …

Gone Too Soon: priorities for action to prevent premature mortality associated with mental illness and mental distress

RC O'Connor, CM Worthman, M Abanga… - The Lancet …, 2023 - thelancet.com
Globally, too many people die prematurely from suicide and the physical comorbidities
associated with mental illness and mental distress. The purpose of this Review is to mobilise …

Translating promise into practice: a review of machine learning in suicide research and prevention

OJ Kirtley, K van Mens, M Hoogendoorn… - The Lancet …, 2022 - thelancet.com
In ever more pressured health-care systems, technological solutions offering scalability of
care and better resource targeting are appealing. Research on machine learning as a …

An original ferroptosis-related gene signature effectively predicts the prognosis and clinical status for colorectal cancer patients

Y Shao, H Jia, L Huang, S Li, C Wang, B Aikemu… - Frontiers in …, 2021 - frontiersin.org
Background Colorectal cancer (CRC) is one of the most common malignant tumors in the
world. Ferroptosis is a newly defined form of cell death, distinguished by different …

The use of advanced technology and statistical methods to predict and prevent suicide

EM Kleiman, CR Glenn, RT Liu - Nature reviews psychology, 2023 - nature.com
In the past decade, two themes have emerged across suicide research. First, according to
meta-analyses, the ability to predict and prevent suicidal thoughts and behaviours is weaker …

A clinician's guide to artificial intelligence (AI): why and how primary care should lead the health care AI revolution

S Lin - The Journal of the American Board of Family Medicine, 2022 - jabfm.org
Artificial intelligence (AI) in health care is the future that is already here. Despite its potential
as a transformational force for primary care, most primary care providers (PCPs) do not know …

Racial and ethnic bias in risk prediction models for colorectal cancer recurrence when race and ethnicity are omitted as predictors

S Khor, EC Haupt, EE Hahn, LJL Lyons… - JAMA Network …, 2023 - jamanetwork.com
Importance Including race and ethnicity as a predictor in clinical risk prediction algorithms
has received increased scrutiny, but there continues to be a lack of empirical studies …

Validation of a multivariable model to predict suicide attempt in a mental health intake sample

S Papini, H Hsin, P Kipnis, VX Liu, Y Lu… - JAMA …, 2024 - jamanetwork.com
Importance Given that suicide rates have been increasing over the past decade and the
demand for mental health care is at an all-time high, targeted prevention efforts are needed …

The Lancet Commission on self-harm

P Moran, A Chandler, P Dudgeon, OJ Kirtley, D Knipe… - The Lancet, 2024 - thelancet.com
Executive summary By delivering transformative shifts in societal attitudes and initiating a
radical redesign of mental health care, we can fundamentally improve the lives of people …