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Media & ArtsEvidence-backed gain
How this company uses AI to recover millions in hidden music royalties
The technology helps artists collect streaming fees that might otherwise go unreported.
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1288 published stories · page 9 of 86
Evidence-backed gain
Toward Clinically Interpretable Perioperative Decision Support: Explainable Machine Learning for 30-Day Postoperative Mortality Prediction
Postoperative mortality prediction remains a critical challenge in healthcare, demanding robust and interpretable predictive methods. This study developed and evaluated machine learning (ML) models using the novel Informative Surgical Patient dataset for Innovative Research Environment (INSPIRE), a comprehensive perioperative dataset, to predict 30-day postoperative mortality. Patient-specific features such as ASA physical status, BMI, and temporal medical parameters were incorporated. Data imbalance was address…
Evidence-backed problem
Bill Gates says unchecked AI could ‘cause a billion deaths’ in call for regulation
Bill Gates has called on the US’s federal legislators and law enforcers to regulate the development of artificial intelligence (AI), saying in an interview airing on Sunday that the technology left unchecked could cause “a billion deaths” and “no one thinks self-regulation is enough”. “You need law enforcement and the politicians to get into the discussion about what safeguards and monitoring look like,” the Microsoft co-founder and philanthropist said to Kristen Welker, the NBC Meet the Press host. “And that ha…
Evidence-backed gain
AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences
The AlphaFold Database Protein Structure Database (AlphaFold DB, https://alphafold.ebi.ac.uk) has significantly impacted structural biology by amassing over 214 million predicted protein structures, expanding from the initial 300k structures released in 2021. Enabled by the groundbreaking AlphaFold2 artificial intelligence (AI) system, the predictions archived in AlphaFold DB have been integrated into primary data resources such as PDB, UniProt, Ensembl, InterPro and MobiDB. Our manuscript details subsequent enh…
Both readings
GenAI in journalism: An ethical analysis of implications, best practices, and challenges
Generative artificial intelligence (GenAI), which involves the creation of automated content in any format, has become a challenge in journalism. This technology is forcing us to rethink the traditional ethical postulates of the journalistic profession. This study analyses the impact of GenAI on journalism from an ethical perspective. To this end, it examines the perceptions of professionals by means of a survey of journalists (N = 324) and in-depth interviews with those responsible for the ethical use of artifi…
Education
Curriculum–Skill Gap in the AI Era: Assessing Alignment in Communication-Related Programs
Artificial intelligence is rapidly reshaping skill expectations across media, marketing, and journalism, however, university curricula are not evolving at a comparable speed. To quantify the resulting curriculum–skill gap in communication-related programs, two synchronous corpora were assembled for the period July 2024–June 2025: 66 course descriptions from six leading UK universities and 107 graduate-to-mid-level job advertisements in communications, digital media, advertising, and public relations. Alignment a…
Health
Three-Dimensional Point-Cloud Learning for Patient-Specific Deep Brain Stimulation Motor Response Prediction in Parkinson Disease
Objective: To develop a patient-specific 3-dimensional (3D) point-cloud deep learning framework for predicting motor improvement after deep brain stimulation (DBS) in Parkinson's disease. Impact Statement: This study introduces an electric-field-aware point-cloud representation that preserves patient anatomy, electrode geometry, and local electric-field distributions for individualized DBS motor response prediction. Introduction: DBS response varies because of complex interactions among electrode location, anato…
Health
Distinct clinical patterns of preterm infants vulnerable to intestinal injury identified by unsupervised clustering
Background Current necrotizing enterocolitis (NEC) diagnostic criteria fail to capture the full spectrum of intestinal injury. We aimed to identify diagnosis-independent clinical patterns of intestinal injury among vulnerable very low birth weight (VLBW) infants using unsupervised hierarchical clustering. Methods Using prospectively collected data from 20,352 VLBW infants in the Korean Neonatal Network (2013-2022), unsupervised clustering was performed after excluding variables reflecting prematurity and NEC dia…
Health
Guideline Concordance of ChatGPT-Generated Responses on Antibiotic Prophylaxis in Endodontics
Antibiotic prophylaxis decision-making in endodontics represents a core competency in dental education, requiring the integration of systemic risk assessment, guideline interpretation, and antimicrobial stewardship principles. Although artificial intelligence (AI) tools such as ChatGPT are increasingly accessed by students and clinicians for clinical guidance, their educational reliability in teaching evidence-based antibiotic prophylaxis remains unclear. This descriptive study evaluated the accuracy and guideli…
Health
Parental Attachment Anxiety and Adolescents' Authentic Self-Disclosure to Generative AI: The Roles of Rumination, Depression, and Gender
Generative artificial intelligence (GenAI) is increasingly used by adolescents across various domains. While existing research has explored its impact on education and mental health, little attention has been given to adolescents' authentic self-disclosure to GenAI. Drawing on the cognitive appraisal theory of stress and the computers are social actors paradigm, this study examines how parent - adolescent attachment anxiety influences adolescents' authentic self-disclosure to GenAI, with rumination and depressio…
Education
Using generative AI to draft fillable study guides for introductory biology: a practical instructor workflow
Generative artificial intelligence (generative AI) may reduce the time and effort required for instructors to draft course-specific teaching materials, but AI-generated content requires careful review before student use. This Tips and Tools article describes an instructor-guided workflow for using generative AI to create fillable study guides for introductory biology exam preparation. Course-specific materials, including lecture content, assignments, and existing worksheet examples, are provided as context for a…
Media & Arts
Hollywood studios want film graduates who already use AI, Semafor reports
Studios want film school graduates who already use AI tools. Runway, Google and OpenAI are training them through courses and residencies.
