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 …

Applications of artificial neural networks in health care organizational decision-making: A scoping review

N Shahid, T Rappon, W Berta - PloS one, 2019 - journals.plos.org
Health care organizations are leveraging machine-learning techniques, such as artificial
neural networks (ANN), to improve delivery of care at a reduced cost. Applications of ANN to …

Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings?

B Wahl, A Cossy-Gantner, S Germann… - BMJ global health, 2018 - gh.bmj.com
The field of artificial intelligence (AI) has evolved considerably in the last 60 years. While
there are now many AI applications that have been deployed in high-income country …

An evaluation of the critical success factors impacting artificial intelligence implementation

MI Merhi - International Journal of Information Management, 2023 - Elsevier
AI systems offer organizations great benefits causing decision-makers to invest more in
these systems. The advantages of AI cannot be achieved without successful implementation …

[HTML][HTML] Artificial intelligence/machine learning in respiratory medicine and potential role in asthma and COPD diagnosis

A Kaplan, H Cao, JM FitzGerald, N Iannotti… - The Journal of Allergy …, 2021 - Elsevier
Artificial intelligence (AI) and machine learning, a subset of AI, are increasingly used in
medicine. AI excels at performing well-defined tasks, such as image recognition; for …

Expert systems: Definitions, advantages and issues in medical field applications

A Saibene, M Assale, M Giltri - Expert Systems with Applications, 2021 - Elsevier
The aim of this review is to provide a broad overview of the state-of-the-art works mainly
published in the last ten years on expert systems applied in different medical domains …

Developing an artificial intelligence–enabled health care practice: rewiring health care professions for better care

D Wiljer, Z Hakim - Journal of medical imaging and radiation sciences, 2019 - Elsevier
Artificial intelligence (AI) has the potential to impact almost every aspect of health care, from
detection to prediction and prevention. The adoption of new technologies in health care …

An expert diagnostic system to automatically identify asthma and chronic obstructive pulmonary disease in clinical settings

A Badnjevic, L Gurbeta, E Custovic - Scientific reports, 2018 - nature.com
Respiratory diseases such as asthma and chronic obstructive pulmonary disease (COPD),
are affecting a huge percentage of the world's population with mortality rates exceeding …

Artificial intelligence, machine learning and the evolution of healthcare: A bright future or cause for concern?

LD Jones, D Golan, SA Hanna… - Bone & joint …, 2018 - boneandjoint.org.uk
Bone & JoInT ReseaRcH layer. as such, deep learning can be largely automatic once set in
motion, learning intricate patterns from even high-dimensional raw data with little guidance6 …

Current developments in dementia risk prediction modelling: an updated systematic review

EYH Tang, SL Harrison, L Errington, MF Gordon… - PloS one, 2015 - journals.plos.org
Background Accurate identification of individuals at high risk of dementia influences clinical
care, inclusion criteria for clinical trials and development of preventative strategies …