OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 15.03.2026, 06:08

Silesian University of Technology

42.476 Arbeiten859.564 Zitationen
Land: PLTyp: education

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

A Review on Innovation in Healthcare Sector (Telehealth) through Artificial Intelligence

Ayesha Amjad, Piotr Kordel, Gabriela Fernandes

2023 · 200 Zit.

Adversarial Attack and Defence through Adversarial Training and Feature Fusion for Diabetic Retinopathy Recognition

Sheeba Lal, Saeed Ur Rehman, Jamal Hussain Shah et al.

2021 · 120 Zit.

Large Language Models in Education: Vision and Opportunities

Wensheng Gan, Zhenlian Qi, Jiayang Wu et al.

2023 · 98 Zit.

Artificial Intelligence-Empowered Radiology—Current Status and Critical Review

Rafał Obuchowicz, Julia Lasek, Marek Wodziński et al.

2025 · 53 Zit.

Overview of current state of research on the application of artificial intelligence techniques for COVID-19

Vijay Kumar, Dilbag Singh, Manjit Kaur et al.

2021 · 51 Zit.

Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

Domenica D’Elia, Jaak Truu, Leo Lahti et al.

2023 · 30 Zit.

ChatGPT in third-party logistics – The game-changer or a step into the unknown?

Mariusz Kmiecik

2023 · 16 Zit.

Development of diagnostic performance & visual processing in different types of radiological expertise

Paweł Kasprowski, Katarzyna Harȩżlak, Sabina Kasprowska

2018 · 7 Zit.

Artificial intelligence and digital twins for the personalised prediction of hypertension risk

Akhil Naik, Jakub Nalepa, Agata M. Wijata et al.

2025 · 7 Zit.

Pathological changes or technical artefacts? The problem of the heterogenous databases in COVID-19 CXR image analysis

Marek Socha, Wojciech Prażuch, Aleksandra Suwalska et al.

2023 · 6 Zit.

Will AI Replace Physicians in the Near Future? AI Adoption Barriers in Medicine

Rafał Obuchowicz, Adam Piórkowski, Karolina Nurzyńska et al.

2026 · 5 Zit.

Predicting COVID-19 severity in pediatric patients using machine learning: a comparative analysis of algorithms and ensemble methods

Babak Pourakbari, Setareh Mamishi, Sepideh Keshavarz Valian et al.

2025 · 4 Zit.

Telemedicine, eHealth, and Digital Transformation in Poland (2014–2024): Trends, Specializations, and Systemic Implications

Wojciech Glinkowski, Tomasz Cedro, Agnieszka Wołk et al.

2025 · 3 Zit.

Application of AI in crisis management

Arkadiusz Banasik, Piotr Pikiewicz

2023 · 2 Zit.

Foreword to the special issue on Information Technologies in Biomedicine

Arkadiusz Gertych, Ewa Piętka

2015 · 2 Zit.