Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
PURPOSE: An integrated, field-level synthesis of digitally enabled performance measurement and management systems (PM/PMS) in healthcare is provided, addressing fragmentation across tool-centered streams and limited cross-stage comparison of control configurations. The thematic structure of the field is mapped, themes are positioned along the balance between technical and social controls, and thei...
Colposcopy is an essential tool for cervical precancer evaluation and biopsy guidance. Most existing artificial intelligence (AI) tools for cervicogram analysis are lesion-centric or limited to global transformation zone (TZ) classification and therefore do not explicitly delineate TZ-related anatomical landmarks. Because the TZ is a major site of cervical carcinogenesis and is defined by the orig...
Comprehensive analysis of polycrystalline microstructures, at times, demands information on the size and face-class of individual grains along with it...
BACKGROUND: Colonoscopy is a cornerstone for the screening and diagnosis of colorectal diseases. Colonoscopy insertion difficulty is associated with e...
The emergence of large language models and generative artificial intelligence (AI) is driving fundamental transformations in the ecosystem of scholarl...
This research aims to describe the flow characteristics and entropy creation of an Oldroyd-B tri hybrid nanofluid under conditions of MHD with heat tr...
BACKGROUND: Artificial intelligence (AI) is rapidly integrating into health professions education and clinical practice, creating significant opportun...
BACKGROUND: Conversational voice AI assistants can automate postoperative follow-up calls in high-volume, low-complexity pathways such as cataract sur...
BACKGROUND: Orthodontic practice is being reshaped by digital workflows, artificial intelligence (AI), shifting patient expectations, global communica...
Natural fracture networks govern subsurface fluid flow, rock-mass stability, and strain accommodation in the brittle crust, yet their automated deline...
Industrial early-warning systems require models that can detect transitional risk states before failure while also explaining uncertainty in the resul...
INTRODUCTION AND AIMS: Periapical radiography is widely used in dental practice, but its diagnostic yield is often compromised by motion artefacts, se...
Accurate preoperative differentiation of gastric cancer T4a/b stages is crucial for surgical planning and prognosis. However, conventional CT assessme...
The rapid growth of artificial-intelligence computing demands high-bandwidth and energy-efficient data-center interconnects. Although self-homodyne co...
The rapid deployment and usage of 5G and IoT networks in smart cities present significant challenges for cybersecurity, particularly regarding energy ...
Consumer artificial intelligence chatbots are now accessed by hundreds of millions of users seeking health information, yet systematic evaluation of t...
BACKGROUND: Artificial intelligence (AI) is rapidly transforming surgical research and medical publishing by changing how clinicians discover, evaluat...
Medical image segmentation requires balancing accuracy, computational efficiency, and uncertainty quantification for potential clinical deployment. Tr...
Endometrial carcinoma ranks among the most common malignancies of the female reproductive system. Accurate early-stage staging is essential for devisi...
BACKGROUND: Anxiety is one of the most prevalent mental health concerns among college students worldwide, yet traditional assessment methods relying o...