[HTML][HTML] Towards a guideline for evaluation metrics in medical image segmentation

D Müller, I Soto-Rey, F Kramer - BMC Research Notes, 2022 - Springer
In the last decade, research on artificial intelligence has seen rapid growth with deep
learning models, especially in the field of medical image segmentation. Various studies …

[HTML][HTML] ChatGPT in nuclear medicine and radiology: lights and shadows in the AI bionetwork

R Laudicella, GA Davidzon, N Dimos… - Clinical and …, 2023 - Springer
Chat Generative Pre-Trained Transformer (ChatGPT, San Francisco, OpenAI) is an artificial
intelligence conversational large-language model (LLM) tool available in more than 90 …

[HTML][HTML] TaSbeeb: A judicial decision support system based on deep learning framework

HA Almuzaini, AM Azmi - Journal of King Saud University-Computer and …, 2023 - Elsevier
Since the early 1980s, the legal domain has shown a growing interest in Artificial
Intelligence approaches to tackle the increasing number of cases worldwide. TaSbeeb is a …

[Retracted] Detecting and Extracting Brain Hemorrhages from CT Images Using Generative Convolutional Imaging Scheme

V Pandimurugan, S Rajasoundaran… - Computational …, 2022 - Wiley Online Library
Purpose. The need for computerized medical assistance for accurate detection of brain
hemorrhage from Computer Tomography (CT) images is more mandatory than conventional …

Fully automatic segmentation of gynaecological abnormality using a new viola–jones model

IJ Hussein, MA Burhanuddin, MA Mohammed… - 2021 - 194.127.137.90
One of the most complex tasks for computer-aided diagnosis (Intelligent decision support
system) is the segmentation of lesions. Thus, this study proposes a new fully automated …

Developing learning health systems in the UK: priorities for action

T Hardie, T Horton, N Thornton-Lee, J Home, P Pereira - 2022 - apo.org.au
Health care has, in many ways, always been a form of 'learning system'. Driven by a diverse
community of stakeholders, including health care professionals, patients and the public, a …

Emerging data sources in decision making and AI

AI Khan, A Al-Badi - Procedia Computer Science, 2020 - Elsevier
The world is seeing a huge surge in data generation. The rate of data generation has
overshadowed successful utilization because Artificial Intelligence (AI) and automation has …

[HTML][HTML] Artificial intelligence ethics in precision oncology: balancing advancements in technology with patient privacy and autonomy

BF Far - Exploration of Targeted Anti-tumor Therapy, 2023 - ncbi.nlm.nih.gov
Precision oncology is a rapidly evolving field that uses advanced technologies to deliver
personalized cancer care based on a patient's unique genetic and clinical profile. The use of …

Augmenting mental healthcare with artificial intelligence, machine learning, and challenges in telemedicine

S Avasthi, T Sanwal, P Sareen… - Handbook of Research on …, 2022 - igi-global.com
Artificial intelligence is a huge part of the healthcare industry, having applications and uses
in oncology, cardiology, dermatology, and many other fields. Another area where AI is …

Radiomics for clinical decision support in radiation oncology

L Russo, CD Diepriye, S Bottazzi, E Sala, L Boldrini - Clinical Oncology, 2024 - Elsevier
Radiomics is a promising tool for the development of quantitative biomarkers to support
clinical decision-making. It has been shown to improve the prediction of response to …