Artificial intelligence: reshaping the practice of radiological sciences in the 21st century

I El Naqa, MA Haider, ML Giger… - The British journal of …, 2020 - academic.oup.com
Advances in computing hardware and software platforms have led to the recent resurgence
in artificial intelligence (AI) touching almost every aspect of our daily lives by its capability for …

[HTML][HTML] AI and precision oncology in clinical cancer genomics: From prevention to targeted cancer therapies-an outcomes based patient care

Z Dlamini, A Skepu, N Kim, M Mkhabele… - Informatics in Medicine …, 2022 - Elsevier
Precision medicine is the personalization of medicine to suit a specific group of people or
even an individual patient, based on genetic or molecular profiling. This can be done using …

Artificial intelligence in clinical and genomic diagnostics

R Dias, A Torkamani - Genome medicine, 2019 - Springer
Artificial intelligence (AI) is the development of computer systems that are able to perform
tasks that normally require human intelligence. Advances in AI software and hardware …

Artificial intelligence (AI)-enabled technology in medicine-advancing holistic healthcare monitoring and control systems

KC Rath, A Khang, SK Rath, N Satapathy… - Computer Vision and …, 2024 - taylorfrancis.com
This chapter presents an exploration of the potential of AI-enabled integrated medicine in
advancing holistic healthcare monitoring and control systems for cancer treatment. The …

Revolutionizing cancer research: the impact of artificial intelligence in digital biobanking

C Frascarelli, G Bonizzi, CR Musico, E Mane… - Journal of Personalized …, 2023 - mdpi.com
Background. Biobanks are vital research infrastructures aiming to collect, process, store, and
distribute biological specimens along with associated data in an organized and governed …

Integrating artificial intelligence and machine learning into cancer clinical trials

J Kang, AK Chowdhry, SL Pugh, JH Park - Seminars in Radiation Oncology, 2023 - Elsevier
The practice of oncology requires analyzing and synthesizing abundant data. From the
patient's workup to determine eligibility to the therapies received to the post-treatment …

Artificial intelligence in CT and MR imaging for oncological applications

R Paudyal, AD Shah, O Akin, RKG Do, AS Konar… - Cancers, 2023 - mdpi.com
Simple Summary The two most common cross-sectional imaging modalities, computed
tomography (CT) and magnetic resonance imaging (MRI), have shown enormous utility in …

The role of artificial intelligence in early cancer diagnosis

B Hunter, S Hindocha, RW Lee - Cancers, 2022 - mdpi.com
Simple Summary Diagnosing cancer at an early stage increases the chance of performing
effective treatment in many tumour groups. Key approaches include screening patients who …

Revolutionizing healthcare: the role of artificial intelligence in clinical practice

SA Alowais, SS Alghamdi, N Alsuhebany… - BMC medical …, 2023 - Springer
Introduction Healthcare systems are complex and challenging for all stakeholders, but
artificial intelligence (AI) has transformed various fields, including healthcare, with the …

Predicting cancer outcomes with radiomics and artificial intelligence in radiology

K Bera, N Braman, A Gupta, V Velcheti… - Nature reviews Clinical …, 2022 - nature.com
The successful use of artificial intelligence (AI) for diagnostic purposes has prompted the
application of AI-based cancer imaging analysis to address other, more complex, clinical …