Surveying the Digital Cytology Workflow in Italy: An Initial Report on AI Integration Across Key Professional Roles DOI Open Access
Daniele Giansanti, Elisabetta Carico, Andrea Lastrucci

et al.

Healthcare, Journal Year: 2025, Volume and Issue: 13(8), P. 903 - 903

Published: April 14, 2025

Background: The integration of artificial intelligence (AI) in healthcare, particularly digital cytology, has the potential to enhance diagnostic accuracy and workflow efficiency. However, AI adoption remains limited due technological human-related barriers. Understanding perceptions experiences healthcare professionals is essential for overcoming these challenges facilitating effective implementation. Objectives: This study aimed assess cytology workflows by evaluating professionals’ perspectives on its benefits, challenges, requirements successful adoption. Methods: A survey was conducted among 150 working public private settings Italy, including laboratory technicians (35%), medical doctors (25%), biologists (20%), specialists technical sciences (20%). Data were collected through a structured Computer-Assisted Web Interview (CAWI) Virtual Focus Group (VFG) capture quantitative qualitative insights familiarity, perceived advantages, barriers Results: findings indicated varying levels familiarity professionals. While many recognized AI’s improve streamline workflows, concerns raised regarding resistance change, implementation costs, doubts about reliability. Participants emphasized need training continuous support facilitate cytology. Conclusions: Addressing such as resistance, cost, trust workflows. Tailored programs ongoing professional can adoption, ultimately optimizing processes improving clinical outcomes

Language: Английский

Advancements in Digital Cytopathology Since COVID-19: Insights from a Narrative Review of Review Articles DOI Open Access
Daniele Giansanti

Healthcare, Journal Year: 2025, Volume and Issue: 13(6), P. 657 - 657

Published: March 17, 2025

Background/Objectives: The integration of digitalization in cytopathology is an emerging field with transformative potential, aiming to enhance diagnostic precision and operational efficiency. This narrative review reviews (NRR) seeks identify prevailing themes, opportunities, challenges, recommendations related the process cytopathology. Methods: Utilizing a standardized checklist quality control procedures, this examines recent advancements future implications domain. Twenty-one studies were selected through systematic process. Results: results highlight key trends, digital First, study identifies pivotal themes that reflect ongoing technological transformation, guiding focus areas field. A major trend artificial intelligence (AI), which increasingly critical improving accuracy, streamlining workflows, assisting decision making. Notably, AI technologies like large language models (LLMs) chatbots are expected provide real-time support automate tasks, though concerns around ethics privacy must be addressed. also emphasize need for protocols, comprehensive training, rigorous validation ensure tools reliable effective across clinical settings. Lastly, holds significant potential improve healthcare accessibility, especially remote areas, by enabling faster, more efficient diagnoses fostering global collaboration telepathology. Conclusions: Overall, highlights impact cytopathology, efficiency, accessibility whole-slide imaging While plays role, broader on integrating solutions workflows collaboration. Addressing challenges such as standardization, ethical considerations crucial fully realize these advancements.

Language: Английский

Citations

0

Surveying the Digital Cytology Workflow in Italy: An Initial Report on AI Integration Across Key Professional Roles DOI Open Access
Daniele Giansanti, Elisabetta Carico, Andrea Lastrucci

et al.

Healthcare, Journal Year: 2025, Volume and Issue: 13(8), P. 903 - 903

Published: April 14, 2025

Background: The integration of artificial intelligence (AI) in healthcare, particularly digital cytology, has the potential to enhance diagnostic accuracy and workflow efficiency. However, AI adoption remains limited due technological human-related barriers. Understanding perceptions experiences healthcare professionals is essential for overcoming these challenges facilitating effective implementation. Objectives: This study aimed assess cytology workflows by evaluating professionals’ perspectives on its benefits, challenges, requirements successful adoption. Methods: A survey was conducted among 150 working public private settings Italy, including laboratory technicians (35%), medical doctors (25%), biologists (20%), specialists technical sciences (20%). Data were collected through a structured Computer-Assisted Web Interview (CAWI) Virtual Focus Group (VFG) capture quantitative qualitative insights familiarity, perceived advantages, barriers Results: findings indicated varying levels familiarity professionals. While many recognized AI’s improve streamline workflows, concerns raised regarding resistance change, implementation costs, doubts about reliability. Participants emphasized need training continuous support facilitate cytology. Conclusions: Addressing such as resistance, cost, trust workflows. Tailored programs ongoing professional can adoption, ultimately optimizing processes improving clinical outcomes

Language: Английский

Citations

0