Machine learning for dementia prediction: a systematic review and future research directions

A Javeed, AL Dallora, JS Berglund, A Ali, L Ali… - Journal of medical …, 2023 - Springer
Abstract Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully
provided automated solutions to numerous real-world problems. Healthcare is one of the …

[HTML][HTML] The future of digital health with federated learning

N Rieke, J Hancox, W Li, F Milletari, HR Roth… - NPJ digital …, 2020 - nature.com
Data-driven machine learning (ML) has emerged as a promising approach for building
accurate and robust statistical models from medical data, which is collected in huge volumes …

Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

Z Ahmed, K Mohamed, S Zeeshan, XQ Dong - Database, 2020 - academic.oup.com
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …

Innovation and challenges of artificial intelligence technology in personalized healthcare

YH Li, YL Li, MY Wei, GY Li - Scientific reports, 2024 - nature.com
As the burgeoning field of Artificial Intelligence (AI) continues to permeate the fabric of
healthcare, particularly in the realms of patient surveillance and telemedicine, a …

Synthetic data generation: State of the art in health care domain

H Murtaza, M Ahmed, NF Khan, G Murtaza… - Computer Science …, 2023 - Elsevier
Recent progress in artificial intelligence and machine learning has led to the growth of
research in every aspect of life including the health care domain. However, privacy risks and …

Increases in acute hepatitis C virus infection related to a growing opioid epidemic and associated injection drug use, United States, 2004 to 2014

JE Zibbell, AK Asher, RC Patel… - … journal of public …, 2018 - ajph.aphapublications.org
Objectives. To compare US trends in rates of injection drug use (IDU), specifically opioid
injection, with national trends in the incidence of acute HCV infection to assess whether …

Telehealth and Artificial Intelligence insights into healthcare during the COVID-19 pandemic

DM El-Sherif, M Abouzid, MT Elzarif, AA Ahmed… - Healthcare, 2022 - mdpi.com
Soon after the coronavirus disease 2019 pandemic was proclaimed, digital health services
were widely adopted to respond to this public health emergency, including comprehensive …

Transport policymaking that accounts for COVID-19 and future public health threats: A PASS approach

J Zhang - Transport policy, 2020 - Elsevier
Abstract The novel coronavirus 2019 (COVID-19) outbreak has had wide-reaching and
unprecedented impacts on the transport sector worldwide. At present, there is no globally …

African genetic diversity and adaptation inform a precision medicine agenda

L Pereira, L Mutesa, P Tindana, M Ramsay - Nature Reviews Genetics, 2021 - nature.com
The deep evolutionary history of African populations, since the emergence of modern
humans more than 300,000 years ago, has resulted in high genetic diversity and …

Hybrid collective intelligence in a human–AI society

MMM Peeters, J van Diggelen, K Van Den Bosch… - AI & society, 2021 - Springer
Within current debates about the future impact of Artificial Intelligence (AI) on human society,
roughly three different perspectives can be recognised:(1) the technology-centric …