Artificial intelligence in medicine: validation and study design
L Oakden-Rayner, LJ Palmer - Artificial intelligence in medical imaging …, 2019 - Springer
There has been a vast expansion in the volume of artificial intelligence (AI) research in
biomedicine over the last several years. Simultaneously, we have begun to see the first …
biomedicine over the last several years. Simultaneously, we have begun to see the first …
Is it time to get rid of black boxes and cultivate trust in AI?
A Gastounioti, D Kontos - Radiology: Artificial Intelligence, 2020 - pubs.rsna.org
Aimilia Gastounioti, PhD, is a research associate in the department of radiology at the
University of Pennsylvania. Her research focuses on artificial intelligence with an application …
University of Pennsylvania. Her research focuses on artificial intelligence with an application …
Systems Biology in Cancer Diagnosis Integrating Omics Technologies and Artificial Intelligence to Support Physician Decision Making
A Fawaz, A Ferraresi, C Isidoro - Journal of Personalized Medicine, 2023 - mdpi.com
Cancer is the second major cause of disease-related death worldwide, and its accurate
early diagnosis and therapeutic intervention are fundamental for saving the patient's life …
early diagnosis and therapeutic intervention are fundamental for saving the patient's life …
Machine learning and AI in cancer prognosis, prediction, and treatment selection: a critical approach
B Zhang, H Shi, H Wang - Journal of multidisciplinary healthcare, 2023 - Taylor & Francis
Cancer is a leading cause of morbidity and mortality worldwide. While progress has been
made in the diagnosis, prognosis, and treatment of cancer patients, individualized and data …
made in the diagnosis, prognosis, and treatment of cancer patients, individualized and data …
What can artificial intelligence teach us about the molecular mechanisms underlying disease?
While molecular imaging with positron emission tomography or single-photon emission
computed tomography already reports on tumour molecular mechanisms on a macroscopic …
computed tomography already reports on tumour molecular mechanisms on a macroscopic …
Towards equitable AI in oncology
VS Viswanathan, V Parmar… - Nature Reviews Clinical …, 2024 - nature.com
Artificial intelligence (AI) stands at the threshold of revolutionizing clinical oncology, with
considerable potential to improve early cancer detection and risk assessment, and to enable …
considerable potential to improve early cancer detection and risk assessment, and to enable …
A Narrative Review of the Use of Artificial Intelligence in Breast, Lung, and Prostate Cancer
K Patel, S Huang, A Rashid, B Varghese… - Life, 2023 - mdpi.com
Artificial intelligence (AI) has been an important topic within radiology. Currently, AI is used
clinically to assist with the detection of lesions through detection systems. However, a …
clinically to assist with the detection of lesions through detection systems. However, a …
Integrating artificial intelligence tools in the clinical research setting: the ovarian cancer use case
L Escudero Sanchez, T Buddenkotte, M Al Sa'd… - Diagnostics, 2023 - mdpi.com
Artificial intelligence (AI) methods applied to healthcare problems have shown enormous
potential to alleviate the burden of health services worldwide and to improve the accuracy …
potential to alleviate the burden of health services worldwide and to improve the accuracy …
[HTML][HTML] Artificial intelligence in oncology: current applications and future perspectives
Artificial intelligence (AI) is concretely reshaping the landscape and horizons of oncology,
opening new important opportunities for improving the management of cancer patients …
opening new important opportunities for improving the management of cancer patients …
Data science in radiology: a path forward
HJWL Aerts - Clinical Cancer Research, 2018 - AACR
Artificial intelligence (AI), especially deep learning, has the potential to fundamentally alter
clinical radiology. AI algorithms, which excel in quantifying complex patterns in data, have …
clinical radiology. AI algorithms, which excel in quantifying complex patterns in data, have …