Revolutionizing healthcare: the role of artificial intelligence in clinical practice
Introduction Healthcare systems are complex and challenging for all stakeholders, but
artificial intelligence (AI) has transformed various fields, including healthcare, with the …
artificial intelligence (AI) has transformed various fields, including healthcare, with the …
[HTML][HTML] Digital pathology and artificial intelligence in translational medicine and clinical practice
V Baxi, R Edwards, M Montalto, S Saha - Modern Pathology, 2022 - Elsevier
Traditional pathology approaches have played an integral role in the delivery of diagnosis,
semi-quantitative or qualitative assessment of protein expression, and classification of …
semi-quantitative or qualitative assessment of protein expression, and classification of …
CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII
Even though radiomics can hold great potential for supporting clinical decision-making, its
current use is mostly limited to academic research, without applications in routine clinical …
current use is mostly limited to academic research, without applications in routine clinical …
Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review
Objective To assess the methodological quality of studies on prediction models developed
using machine learning techniques across all medical specialties. Design Systematic …
using machine learning techniques across all medical specialties. Design Systematic …
Deep learning and artificial intelligence in sustainability: a review of SDGs, renewable energy, and environmental health
Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in
driving sustainability across various sectors. This paper reviews recent advancements in AI …
driving sustainability across various sectors. This paper reviews recent advancements in AI …
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease
The medical field has seen a rapid increase in the development of artificial intelligence (AI)-
based prediction models. With the introduction of such AI-based prediction model tools and …
based prediction models. With the introduction of such AI-based prediction model tools and …
Clinical prediction models in psychiatry: a systematic review of two decades of progress and challenges
Recent years have seen the rapid proliferation of clinical prediction models aiming to
support risk stratification and individualized care within psychiatry. Despite growing interest …
support risk stratification and individualized care within psychiatry. Despite growing interest …
Translation of AI into oncology clinical practice
Artificial intelligence (AI) is a transformative technology that is capturing popular imagination
and can revolutionize biomedicine. AI and machine learning (ML) algorithms have the …
and can revolutionize biomedicine. AI and machine learning (ML) algorithms have the …
[HTML][HTML] The diagnostic and triage accuracy of the GPT-3 artificial intelligence model
DM Levine, R Tuwani, B Kompa, A Varma… - MedRxiv, 2023 - ncbi.nlm.nih.gov
Objective: Compare the general-purpose Generative Pre-trained Transformer 3 (GPT-3) AI
model's diagnostic and triage performance to attending physicians and lay adults who use …
model's diagnostic and triage performance to attending physicians and lay adults who use …
Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative
Objective The main aim of the present systematic review was a comprehensive overview of
the Radiomics Quality Score (RQS)–based systematic reviews to highlight common issues …
the Radiomics Quality Score (RQS)–based systematic reviews to highlight common issues …