Where medical statistics meets artificial intelligence

DJ Hunter, C Holmes - New England Journal of Medicine, 2023 - Mass Medical Soc
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A survey of large language models in medicine: Progress, application, and challenge

H Zhou, F Liu, B Gu, X Zou, J Huang, J Wu, Y Li… - arxiv preprint arxiv …, 2023 - arxiv.org
Large language models (LLMs), such as ChatGPT, have received substantial attention due
to their capabilities for understanding and generating human language. While there has …

Blinded, randomized trial of sonographer versus AI cardiac function assessment

B He, AC Kwan, JH Cho, N Yuan, C Pollick, T Shiota… - Nature, 2023 - nature.com
Artificial intelligence (AI) has been developed for echocardiography,–, although it has not yet
been tested with blinding and randomization. Here we designed a blinded, randomized non …

Guiding principles to address the impact of algorithm bias on racial and ethnic disparities in health and health care

MH Chin, N Afsar-Manesh, AS Bierman… - JAMA Network …, 2023 - jamanetwork.com
Importance Health care algorithms are used for diagnosis, treatment, prognosis, risk
stratification, and allocation of resources. Bias in the development and use of algorithms can …

[HTML][HTML] Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

SC Rivera, X Liu, AW Chan, AK Denniston… - The Lancet Digital …, 2020 - thelancet.com
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol
reporting by providing evidence-based recommendations for the minimum set of items to be …

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

X Liu, SC Rivera, D Moher, MJ Calvert… - The Lancet Digital …, 2020 - thelancet.com
The CONSORT 2010 statement provides minimum guidelines for reporting randomised
trials. Its widespread use has been instrumental in ensuring transparency in the evaluation …

Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review

OT Jones, RN Matin, M Van der Schaar… - The Lancet Digital …, 2022 - thelancet.com
Skin cancers occur commonly worldwide. The prognosis and disease burden are highly
dependent on the cancer type and disease stage at diagnosis. We systematically reviewed …

Ethical machine learning in healthcare

IY Chen, E Pierson, S Rose, S Joshi… - Annual review of …, 2021 - annualreviews.org
The use of machine learning (ML) in healthcare raises numerous ethical concerns,
especially as models can amplify existing health inequities. Here, we outline ethical …

Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review

AT Young, D Amara, A Bhattacharya… - The lancet digital health, 2021 - thelancet.com
Artificial intelligence (AI) promises to change health care, with some studies showing proof
of concept of a provider-level performance in various medical specialties. However, there …

[HTML][HTML] Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction

D Nam, J Chapiro, V Paradis, TP Seraphin, JN Kather - Jhep Reports, 2022 - Elsevier
Clinical routine in hepatology involves the diagnosis and treatment of a wide spectrum of
metabolic, infectious, autoimmune and neoplastic diseases. Clinicians integrate qualitative …