aceEvidence-backed gain
YouTuber Gossip Goblin Will Debut AI Film In U.S. Theaters
YouTube creator Gossip Goblin brings AI-assisted feature "Gods Don’t Give Gifts" to U.S. theaters, testing whether online fandom can drive box office.
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Evidence-backed gain
AI Feature 'Gods Don't Give Gifts' Poised To Make Next Leap From YouTube To Big Screen
A fully AI film, Gods Don't Give Gifts, is poised to become the next feature to leap from a popular YouTube channel to the big screen.
Evidence-backed gain
Can platform literacy protect vulnerable young people against the risky affordances of social media platforms?
A qualitative study of young people with mental health difficulties sought to understand their digital experiences and identify whether their digital literacy helps them cope with online problems. The findings reveal how young people’s encounters with extreme online risk are amplified by platforms’ promotion of trending and viral content and intensified through the personalisation of content that can ‘trigger’ individual vulnerabilities. We conceptualise these twin processes in terms of risky affordances and sho…
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Optimizing Treatment Strategies in the Bipolar Disorder Spectrum With Classical AI Approaches: Systematic Review of Performance, Bias, and Clinical Applicability
Bipolar disorder (BD) is a complex and heterogeneous psychiatric condition, characterized by fluctuating clinical courses that affect approximately 1%-2% of the global population in their lifetime. Despite pharmacological advances, treatment response varies significantly among patients, making the identification of individualized treatment strategies a major challenge. Artificial Intelligence (AI), through its classical approaches, has emerged as a powerful tool in precision psychiatry to identify subtle pattern…
Evidence-backed gain
DynStabNet: A Deep Learning Framework for Fast Dynamical Stability Prediction of Crystal Structures
Semiconductor materials are widely used in electronic, optoelectronic, and energy applications. While DFT-based phonon calculations provide highly accurate assessments for dynamical stability of structures, their prohibitive computational cost poses a significant bottleneck for large-scale materials screening. Herein, we develop DynStabNet, an E(3)-equivariant graph neural network (E3GNN) framework that learns dynamical stability from phonon-informed data, enabling rapid prediction without the need for explicit…
Evidence-backed gain
A Supervised Fine-Tuned Large Language Model for Lifestyle Management in Patients With Prostate Cancer: Development and Evaluation Study
Lifestyle interventions for patients with prostate cancer have been shown to improve treatment adherence and quality of life. However, there remains a lack of large language models (LLMs) capable of delivering individualized and professional lifestyle recommendations under clearly defined medical safety boundaries and controlled evidence sources. This study aimed to develop and evaluate a supervised fine-tuned LLM-PCaPLMM_SFT (Prostate Cancer Patient Lifestyle Management Model via Supervised Fine-Tuning)-to supp…
Evidence-backed problem
Multiturn Large Language Model-Based Conversational Agents for Patients With Cancer and Caregivers: Scoping Review
Large language model (LLM)-based conversational agents are increasingly used in health care, yet their capacity to support genuine multiturn dialogue remains underexplored. In oncology, where patients and caregivers experience complex informational and emotional needs throughout the disease trajectory, conversational agents may support information provision, symptom consultation, and emotional assistance. However, research specifically examining multiturn conversational agents designed for patients with cancer a…
Enhancing objective structured clinical examination performance through an artificial intelligence virtual patient: a proof-of-concept study
The application of artificial intelligence (AI) in simulating detailed patient-doctor interactions for objective structured clinical examinations (OSCEs) remains emerging. This study aimed to evaluate an AI virtual patient (AIVP) innovation designed to support medical education through interactive patient simulations and feedback. This prospective mixed-methods pilot recruited final-year medical students during their critical care term. Two cohorts were examined: a volunteer AIVP group (n = 43) and an educationa…
Can AI assist in reducing diagnostic error? A narrative review
Diagnostic error, defined as missed, wrong, or delayed diagnoses or those not communicated to patients, is common, affecting 5-10 % of hospital admissions and clinic visits. Such errors cause patient harm in up to 1 in 100 of such encounters and account for 10 % of all hospital deaths and serious adverse events. About 80 % of diagnostic errors are potentially preventable, most resulting from flaws in clinician reasoning in formulating and testing diagnostic hypotheses. The advent of artificial intelligence (AI),…
Deezer says AI music now makes up half of all daily song uploads.
The music streaming platform receives almost 90,000 AI-generated tracks each day, a jump from the 75,000 it last reported in April. Using its AI music detection tool, Deezer now says it will take down AI tracks “used to generate fraudulent streams,” in addition to those that haven’t been streamed in six months or more. [Link: AI Music Tops 50% of Daily Uploads on Deezer | https://newsroom-deezer.com/2026/07/ai-music-exceeds-50-percent-daily-uploads-deezer/ | Deezer Newsroom]
Sony sues Udio again over 30,000 songs, seeks $4.5bn
Sony has filed a second lawsuit against AI music generator Udio over 30,117 recordings, using rivals’ licensing deals to attack Udio’s fair-use defence.
Multimodal AI in Biomedicine: Pioneering the Future of Biomaterials, Diagnostics, and Personalized Healthcare
Multimodal artificial intelligence (AI) is driving a paradigm shift in modern biomedicine by seamlessly integrating heterogeneous data sources such as medical imaging, genomic information, and electronic health records. This review explores the transformative impact of multimodal AI across three pivotal areas: biomaterials science, medical diagnostics, and personalized medicine. In the realm of biomaterials, AI facilitates the design of patient-specific solutions tailored for tissue engineering, drug delivery, a…
Current AI technologies in cancer diagnostics and treatment
Cancer continues to be a significant international health issue, which demands the invention of new methods for early detection, precise diagnoses, and personalized treatments. Artificial intelligence (AI) has rapidly become a groundbreaking component in the modern era of oncology, offering sophisticated tools across the range of cancer care. In this review, we performed a systematic survey of the current status of AI technologies used for cancer diagnoses and therapeutic approaches. We discuss AI-facilitated im…
Large Language Models in Healthcare and Medical Applications: A Review
This paper provides a systematic and in-depth examination of large language models (LLMs) in the healthcare domain, addressing their significant potential to transform medical practice through advanced natural language processing capabilities. Current implementations demonstrate LLMs' promising applications across clinical decision support, medical education, diagnostics, and patient care, while highlighting critical challenges in privacy, ethical deployment, and factual accuracy that require resolution for resp…
Artificial Intelligence Adoption in SMEs: Survey Based on TOE–DOI Framework, Primary Methodology and Challenges
Despite the transformative potential of artificial intelligence (AI), small and medium-sized enterprises (SMEs) continue to face significant challenges in its effective adoption. While prior studies have emphasized strategic benefits and readiness models, there remains a lack of operational guidance tailored to SME realities—particularly regarding implementation barriers, resource constraints, and emerging demands for responsible AI use. This study presents an analysis of AI adoption in SMEs by integrating the t…
