Results 231 to 240 of about 54,372 (262)

The Complex Landscape of Privacy in Spine Research. [PDF]

Neurospine
Rispoli R, Cappelletto B.
europepmc   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST)

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

SynthCraft: An AI partner for synthetic data generation to support data access and augmentation in healthcare. [PDF]

PLOS Digit Health
Callender T, Boyd A, Davis R, Ruhrberg Estevez S, Lavista Ferres JM, van der Schaar M.   +5 more
europepmc   +1 more source

From disorientation to preparedness: Information practices as scaffolding in acute crises

Journal of the Association for Information Science and Technology, EarlyView.
Abstract This qualitative study examines how adults in Israel enacted information practices during an acute national crisis. Using the information transitions framework, we investigate how concrete practices emerge and evolve across three stages: understanding, negotiating, and resolving. Semi‐structured Zoom interviews with 18 adults were analyzed via
Lilach Alon, Tali Malinoff, Inbar Levkovich   +2 more
wiley   +1 more source

FAIR m-BIDS: Advancing brain data utilization through multimodal and FAIR principles. [PDF]

Sci Data
Mirhosseini SM, Naseri H, Siahlou B, Panahi Arasi M, Monazami Eslami S, Safaei AA.   +5 more
europepmc   +1 more source

From cramming to binge‐watching: Integrating documentary‐based assessment into a pharmacology and toxicology curriculum—a qualitative study

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aims In the context of pharmacology and toxicology education, there is a growing shift toward programmatic assessment models that prioritize longitudinal learning, reflection and development of higher‐order cognitive skills. As part of this transition, we are exploring alternative and more meaningful forms of assessment. This qualitative study
Narin Akrawi, Heleen van der Sijs, Floor van Rosse   +2 more
wiley   +1 more source

A hybrid rule-based NLP and machine learning approach for PII detection and anonymization in financial documents. [PDF]

Sci Rep
Mishra K, Pagare H, Sharma K.
europepmc   +1 more source

Evaluating and leveraging large language models in clinical pharmacology and therapeutics assessment: From exam takers to exam shapers

British Journal of Clinical Pharmacology, EarlyView.
Aims In medical education, the ability of large language models (LLMs) to match human performance raises questions about their potential as educational tools. This study evaluates LLMs' performance on Clinical Pharmacology and Therapeutics (CPT) exams, comparing their results to medical students and exploring their ability to identify poorly formulated
Alexandre O. Gérard, Diane Merino, Marc Labriffe, Fanny Rocher, Delphine Viard, Laurence Zemori, Thibaud Lavrut, Erik M. Donker, Joost D. Piët, Jean‐Paul Fournier, Milou‐Daniel Drici, Alexandre Destere   +11 more
wiley   +1 more source

Dataset of anonymized discharge summaries of sepsis patients from a Brazilian tertiary hospital for NLP applications. [PDF]

Data Brief
Silva RPD, Pazin-Filho A.
europepmc   +1 more source

Student perspectives on AI‐supported formative assessment in pharmacology

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aims High‐quality feedback is crucial for helping medical students understand and apply core concepts of pharmacology, yet personalized feedback is resource‐intensive to produce. Artificial intelligence (AI) offers a potential solution, but little is known about students' perspectives on AI‐generated feedback.
Jon Andsnes Berg, Øyvind Repstad, Trond Trætteberg Serkland, Tiril Egset Mork, Christian Bru, Olav Tenstad, Monika Kvernenes   +6 more
wiley   +1 more source