Copernicus Memorial Hospital

A multi-center study of a machine learning algorithm for identifying undiagnosed patients with myelodysplastic syndrome based on complete blood count data

Anna Lason, Arkadiusz Sycz, Karol Lis et al.

2025 · 1 Zit.

Utilizing Artificial Intelligence Tools Using the GPT Chatbot in Medicine - A Review of Flaws, Advantages, and Limitations

Krzysztof Edyko, Piotr Petryla, Kamil Ostafin et al.

2023 · 1 Zit.

Enhancing the Integrity of Evidence-Based Medicine: A Literature Review on Reporting Quality in Systematic Reviews and Randomised Controlled Trials

Łukasz Woźniak, Albert Lompart, Michał Wabiszczewicz et al.

2025 · 0 Zit.

PATIENT DIGITAL TWINS AS THE FOUNDATION OF FUTURE MEDICINE: PERSONALIZED SIMULATION, PREDICTIVE MODELING, AND DATA-DRIVEN CLINICAL DECISION-MAKING

Anna Kinga Tejchma, Łukasz Dominik Woźniak, Aleksandra Włodarczyk et al.

2026 · 0 Zit.

AI-powered precision: Unmasking hidden treatment optimizations for lower-risk myelodysplastic syndrome patients based on real-world, multi center EHR data.

Marek Dudziński, Anna Lason, Arkadiusz Sycz et al.

2025 · 0 Zit.

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN PREDICTING PROGRESSION AND RECURRENCE OF PROSTATE AND BLADDER CANCER: CURRENT INSIGHTS AND FUTURE DIRECTIONS

Krystian Czyżykowski, Anna Maria Gęsińska, Helena Szelka et al.

2025 · 0 Zit.

Tasks and applicable technologies in computer aided nephrology

Zbigniew Filutowicz, J. Filutowicz, Piotr S. Szczepaniak et al.

2001 · 0 Zit.

Adherence of Free-Tier Large Language Models to the 2024 European Society of Cardiology (ESC) Guidelines for the Management of Elevated Blood Pressure and Hypertension: A Comparative Study

Aleksander Polus, Dawid Boczkowski, Rania Suleiman et al.

2026 · 0 Zit.