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Artificial intelligence in clinical medicine: a state-of-the-art overview of systematic reviews with methodological recommendations for improved reporting

Giovanni Morone, Giovanni Morone, Luigi De Angelis, Luigi De Angelis et al. • Frontiers in Digital Health (2025)

Medicine has become increasingly receptive to the use of artificial intelligence (AI). This overview of systematic reviews (SRs) aims to categorise current evidence about it and identify the current methodological state of the art in the fi...

DOAJ Open Access (DOAJ) DOI: 10.3389/fdgth.2025.1550731

AI-generated draft replies to patient messages: exploring effects of implementation

Charlotte M. H. H. T. Bootsma-Robroeks, Charlotte M. H. H. T. Bootsma-Robroeks, Jessica D. Workum, Jessica D. Workum et al. • Frontiers in Digital Health (2025)

IntroductionThe integration of Large Language Models (LLMs) in Electronic Health Records (EHRs) has the potential to reduce administrative burden. Validating these tools in real-world clinical settings is essential for responsible implement...

DOAJ Open Access (DOAJ) DOI: 10.3389/fdgth.2025.1588143

Natural Language Processing in Surgery

Joseph A. Mellia, Marten N. Basta, Yoshiko Toyoda, Sammy Othman et al. • Annals of Surgery (2020)

OBJECTIVE: The aim of this study was to systematically assess the application and potential benefits of natural language processing (NLP) in surgical outcomes research. SUMMARY BACKGROUND DATA: Widespread implementation of electronic health...

OPENALEX DOI: https://doi.org/10.1097/sla.0000000000004419

Integrating NLP to Enhance Algorithmic Identification of Metastatic and Castration‐Resistant Prostate Cancer in Large Claims‐Based Studies

Shannon R. Stock, Joshua A. Parrish, Michael T. Burns, Jessica L. Janes et al. • Cancer Medicine (2025)

ABSTRACT Purpose Accurate classification of prostate cancer (PC) disease states defined by the presence or absence of metastasis and castration resistance (CRPC) is critical but challenging in population‐based research. As chart review is n...

DOAJ Open Access (DOAJ) DOI: 10.1002/cam4.71406

Repurposing a commercial artificial intelligence vision platform for automated surgical instrument identification: a proof-of-concept study

Simon Stoerzer, Klinto Xhemo, Felix Gronau, Linda Feldbruegge et al. • Patient Safety in Surgery (2026)

Abstract Background Retained surgical items are classified as never events but continue to occur, and the count meant to prevent them is often recorded as correct even when an item is retained. Computer vision could provide an independent c...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13037-026-00512-z

Comparison of visual outcomes and subjective visual quality after bilateral implantation of a diffractive trifocal intraocular lens and blended implantation of apodized diffractive bifocal intraocular lenses

Gundersen KG, Potvin R • Clinical Ophthalmology (2016)

Kjell G Gundersen,1 Rick Potvin21IFocus Øyeklinikk AS, Haugesund, Norway; 2Science in Vision, Akron, NY, USAPurpose: To compare the visual acuity (VA) and quality of vision between bilateral implantation of a trifocal intraocular len...

DOAJ Open Access (DOAJ)

Computer vision applications in vascular surgery: From preoperative mapping to intraoperative flow assessment

Daniela Arbeláez-Lelion, Francisco Ocaziones, Mateo José Murcia-Ramos, Samuel Salgado et al. • Cirugía Cardiovascular (2026)

Artificial intelligence (AI) and computer vision (CV) are increasingly applied in vascular surgery for preoperative mapping and intraoperative flow/perfusion assessment, with potential to enhance safety and efficiency. However, the extent o...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.circv.2025.10.002

Convolutional-de-convolutional neural networks for recognition of surgical workflow

Yu-wen Chen, Ju Zhang, Peng Wang, Zheng-yu Hu et al. • Frontiers in Computational Neuroscience (2022)

Computer-assisted surgery (CAS) has occupied an important position in modern surgery, further stimulating the progress of methodology and technology. In recent years, a large number of computer vision-based methods have been widely used in ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fncom.2022.998096