Work Force

Integrating AI Scribes into Medical Education: Guardrails for Preserving Clinical Reasoning.

Clinical documentation is a cornerstone of physician training, not only as a record of care but as a catalyst for clinical reasoning. For medical trainees, writing notes compels them to prioritize information, justify decisions, and synthesize fragmented data into coherent narratives. With the emergence of artificial intelligence (AI) scribes that auto-generate clinical notes from ambient audio, t...

Design of novel enzymes with the incorporation of noncanonical amino acids.

Enzymes are highly efficient biocatalysts known for their chemical, regio-, and stereoselectivity, making them valuable in industrial applications. While directed evolution has expanded the scope of enzyme-catalyzed reactions, the range of enzymatic reactions remains limited compared to reactions catalyzed by chemical catalysts. Computational enzyme design has achieved de novo enzyme design, but t...

AI-Driven Smart Sportswear for Real-Time Fitness Monitoring Using Textile Strain Sensors.

Wearable biosensors have revolutionized human performance monitoring by enabling real-time assessment of physiological and biomechanical parameters. H...

Design, Modeling and Evaluation of Lattice Structure Pneumatic Actuators (LSPAs) for Soft Wrist Rehabilitation Robot.

Soft robots have gained recognition as promising solutions in rehabilitation robotics due to their intrinsic flexibility and safety features. However,...

Using natural language processing to extract information from clinical text in electronic medical records for populating clinical registries: a systematic review.

OBJECTIVE: Clinical registries advance healthcare by tracking patient outcomes and intervention safety. Manually extracting information from clinical ...

Evaluating ambient artificial intelligence documentation: effects on work efficiency, documentation burden, and patient-centered care.

BACKGROUND AND SIGNIFICANCE: Ambient listening tools powered by generative artificial intelligence (GenAI) offer real-time, scribe-like support that r...

Artificial intelligence and computer-aided diagnosis in diagnostic decisions: 5 questions for medical informatics and human-computer interface research.

OBJECTIVES: Artificial intelligence (AI) has the potential to transform medical informatics by supporting clinical decision-making, reducing diagnosti...

Assessing genetic counseling efficiency with natural language processing.

OBJECTIVE: To build natural language processing (NLP) strategies to characterize measures of genetic counseling (GC) efficiency and classify measures ...

Ensemble transfer learning for classifying physical examinations in GP consultation: a multi-model approach to human-object and human-to-human activity recognition.

OBJECTIVES: This study aims to automatically classify physical examinations performed during general practitioner (GP) consultations using a deep lear...

Listening to the note: clinician perspectives on ambient artificial intelligence scribes in medical documentation.

OBJECTIVES: To qualitatively characterize barriers and facilitators to implementing and using an ambient scribe across a large academic medical center...

Usability-Related Barriers and Facilitators Influencing the Adoption and Use of AI Scribes in Healthcare: A Scoping Review.

BACKGROUND: Clinical documentation is a major contributor to physician burnout, and artificial intelligence (AI) scribes are increasingly being adopte...

Diversity of FAAL enzymes and prediction of their substrate specificity using FAALPred.

FAALs (fatty acyl-AMP ligases) recruit and incorporate fatty acids during the biosynthesis of secondary metabolites. Their diversity, distribution, an...

A tandem reinforcement learning framework for localized prostate cancer treatment planning and machine parameter optimization.

BACKGROUND: Volumetric modulated arc therapy (VMAT) machine parameter optimization (MPO) is a complex, high-dimensional problem typically solved with ...

Exploring service user attitudes towards mental health technologies.

OBJECTIVES: Understanding service users' knowledge of and attitudes towards the rapidly progressing field of mental health technology (MHT) is an impo...

AI Tools in Plastic Surgery: A Scoping Review.

BACKGROUND: The use and standardization of innovative artificial intelligence (AI) tools continue to grow and have the potential to enhance the field ...

Improving Robustness and Training Efficiency of Machine-Learned Potentials by Incorporating Short-Range Empirical Potentials.

Machine learning force fields (MLFFs) are powerful tools for materials modeling, but their performance is often limited by training data set quality, ...

A systematic review of the scope and impact of rural primary healthcare innovations using digital health technology.

OBJECTIVES: Digital technology in primary healthcare service delivery can enhance accessibility, service delivery and health outcomes in rural populat...

Engineering class I terpene synthases for skeletal diversity: strategies and applications.

Covering: up to August 2025Terpenoids constitute nature's largest and most structurally diverse class of natural products, with extensive applications...

Multi-model Artificial Intelligence Evaluation in Sudden Sensorineural Hearing Loss.

OBJECTIVE: To compare the diagnostic accuracy, linguistic clarity, and user satisfaction of three large language models (ChatGPT-4.0, Claude 3.7 Sonet...

Stage-wise environmental recovery patterns and cross-domain interactions of planktonic bacterial communities in Zhanjiang Bay following typhoon disturbance.

Typhoon events can abruptly alter local biogeochemical cycles, which may strongly influence microbial community structure and ecological interactions....