Medical Ethics / Professional Responsibility

When Chatbots Become Agents: The Next Phase of Healthcare AI.

Healthcare artificial intelligence (AI) has moved beyond answering medical questions. In early 2026, OpenAI, Anthropic, and Google launched agentic systems that retrieve evidence, use tools, and execute multi-step workflows. These systems can integrate information across multiple clinical knowledge domains within a single workflow, but the evidence base for evaluating their reliability in clinical...

What the AI era doctor should know: a scoping review of proposed artificial intelligence competencies for medical education.

Artificial intelligence (AI) is rapidly reshaping healthcare and the competencies expected of graduating medical students, yet AI curricula and competency recommendations for undergraduate medical education (UME) remain fragmented. We conducted a PRISMA-ScR scoping review to map and synthesize proposed AI competencies for UME by performing a global search of PubMed, Embase, Web of Science, and ERI...

RiceBlock-0.2: secured precision rice farming framework using blockchain technology.

The integration of Internet of Things (IoT), blockchain, and artificial intelligence (AI) holds great promise for precision agriculture, yet challenge...

A Unified Deep Learning Framework for Instance Segmentation Across Diverse Cytological Stains.

OBJECTIVE: Assess whether a single instance-segmentation model can operate robustly across multiple cytological stains, avoiding stain-specific pipeli...

Boundary-aware dual-attention U-Net for multi-class oil spill segmentation in SAR imagery.

Oil spills pose serious environmental risks, hence accurate and rapid detection is critical for marine monitoring. Synthetic Aperture Radar (SAR) imag...

Gradient boundaries through confidence intervals for forced alignment estimates using model ensembles.

Forced alignment is a common tool to align audio with orthographic and phonetic transcriptions. Most forced alignment tools provide only point-estimat...

Utilizing generative artificial intelligence to create simulated patient for history taking in gynecology.

INTRODUCTION: This study aimed to evaluate the effectiveness of a generative artificial intelligence based simulated patient model in improving gyneco...

Adaptive homomorphic federated learning framework for multi-institutional medical imaging with optimized diagnostic accuracy.

The growing use of artificial intelligence (AI) in medicine has highlighted the imperative for privacy-preserving and high-accuracy diagnostic systems...

Factorization machine with quadratic-optimization annealing for RNA inverse folding and evaluation of binary-integer encoding and nucleotide assignment.

The RNA inverse folding problem aims to identify nucleotide sequences that preferentially adopt a given target secondary structure. While various heur...

Implementing Generative AI in Pharmacy Experiential Education: A Practical Guide for Preceptors.

Pharmacy preceptors are central to experiential learning, yet there is a lack of guidance on how to integrate generative artificial intelligence (GenA...

Applicable Scenarios, Desired Features, and Risks of AI Psychotherapists in Depression Treatment From the Patient's Perspective: Exploratory Qualitative Study.

BACKGROUND: Depression is a pervasive global mental health issue, yet access to trained professionals remains severely limited. With the rapid advance...

Task Optimization for Fixed-Time Control of Intermittent Human-Robot Interaction With Time-Varying Exponents and Coefficients.

In this article, we investigate the task optimization for fixed-time control of intermittent human-robot interaction, where a human operator assists t...

Ethical dimensions of artificial intelligence integration into dental practice.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in dentistry to enhance diagnosis and treatment planning. Its integration raises ethi...

Kernel-based dynamic ensemble approach for classifying imbalanced data with overlapping classes.

In many real-world applications, binary and multi-class classification problems involving imbalanced data and overlapping boundaries present a signifi...

Intrinsic polar vortex crystals in A-site layer-ordered perovskites.

Topological phases, as characterized by their topological invariants, have been considered as distinct states from the raw phases and hold great promi...

BA-UNet: A Boundary Augmented Segmentation Network for Cervical Cancer Radiotherapy.

Accurate segmentation of the Clinical Target Volume (CTV) and Organs At Risk (OARs) is a prerequisite for effective cervical cancer radiotherapy. Howe...

Accurate and scalable deep Maxwell solvers.

Neural networks have promise as surrogate partial differential equation (PDE) solvers, but it remains a challenge to use these concepts to solve probl...

Health Professional Students' Use of Generative Artificial Intelligence During Clinical Placements: Cross-Sectional Online Survey Study.

BACKGROUND: Generative artificial intelligence (GenAI) is rapidly expanding in higher education and clinical practice. However, its use during clinica...

From fragmented to flawless: A large-scale synthetic micrograph library for benchmarking microstructural image restoration.

The accurate extraction of grain boundaries from metallographic images is a prerequisite for quantitative microstructural analysis, but it is often hi...

From structural complexity to causal representation: A dynamic fractal-attention framework for fine-grained ovarian tumor classification in ultrasound.

Accurate fine-grained classification of ovarian tumors from ultrasound images remains challenging due to speckle noise, boundary ambiguity, structural...