Results 161 to 170 of about 1,171,889 (309)

Non-Healthcare Professional [PDF]

, 2020
openaire   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Healthcare technologies and professional vision

, 2003
This paper presents some details from an observational evaluation of a computer assisted detection tool in mammography. The use of the tool, its strengths and weaknesses, are documented and its impact on reader's 'professional vision' (Goodwin 1994) considered.
Procter, R, Rouncefield, M, Hartswood, M, Slack, R, Soutter, J, Voss, A   +5 more
openaire   +1 more source

Vision‐Based Handover and Organization of Robotic Scrub Nurse for Seamless Surgical Flow

Advanced Intelligent Systems, EarlyView.
This study presents a pose estimation‐based robotic scrub nurse (PERSN) that assists surgical procedures by estimating the surgeon's hand position, orientation, and grasping state, along with the constraint‐based 6D pose of surgical instruments. User evaluations show that PERSN provides greater immediate usability and reduces physical demand compared ...
Seongjoon Kang, Jae Woo Shim, Geunwu Gimm, Seung Jae Choi, Jong Hyeon Lee, Youho Myong, Yoon Jae Kim, Changhoon Baek, Minwoo Cho, Sungwan Kim   +9 more
wiley   +1 more source

Moral Injury in Gaza: The Impact on Healthcare Professionals. [PDF]

Health Sci Rep
Irfan B, Alamrain AA, Alinaby K, Hussein H, Shammala AA, Halimy M, Al-Khaldi M, Kassab AJ, Almedana F, Toman HI, Tarab B, Sirvent R, Sammour AA, Mousa H, Aldabbour B, Lulu I, Ghaleez A, Abusamhadana A, Ghali A, Irfan M.   +19 more
europepmc   +1 more source

Healthcare Professionals' Perceptions of Digital Counselling: A Qualitative Descriptive Study. [PDF]

Scand J Caring Sci
Kaihlaniemi J, Kääriäinen M, Liljamo P, Tuomikoski AM, Oikarinen A.   +4 more
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Patient Involvement as Understood by Healthcare Professionals: A Multi-Methods Study in a Danish University Hospital. [PDF]

Scand J Caring Sci
Johansen FA, Rodkjær LØ, Bekker HL, Holm A.   +3 more
europepmc   +1 more source

The training of healthcare professionals: Time for change [PDF]

, 2014
Kime, NH
core  

Dimensions of the AI Divide: Digital Inequality and Psychological Consequences

AI &Innovation, EarlyView.
ABSTRACT Artificial intelligence (AI) has become a foundational component of contemporary social, economic, and political life. Yet, the ways in which AI reshapes patterns of exclusion beyond questions of access and technical capability remain insufficiently theorized.
Christos Papaioannou
wiley   +1 more source