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1313 published stories · page 19 of 88

ClimateEvidence-backed gain

Ecological risk zoning of soil heavy metal pollution using biomarker-enhanced indexing and machine learning

Traditional soil heavy metal risk assessments suffer from fragmented indices and poor logical integration. Compared to single-chemical indicators, biomarkers more sensitively reflect biological effects and early ecological risks. To address these issues, a method for constructing a comprehensive index integrating biological and non-biological multi-indexes was proposed in this study. First, the Criteria Importance Through Intercriteria Correlation (CRITIC)-Fuzzy Biomarker Response Index (CFBRI) is developed by i…

Environmental Geochemistry and Health

Both readings

Development and evaluation of a deep learning model for computer-aided diagnosis of neonatal pneumothorax on chest radiographs

Evidence-backed gain

Nucleic Acid Turnover and Lipid Remodeling Distinguish T Cell Activation and Exhaustion States via Label-Free Raman Spectroscopy

Evidence-backed gain

Interpretable machine learning-enabled risk stratification for pulmonary arterial hypertension associated with unrepaired congenital heart disease: results from a national prospective registry

Evidence-backed gain

Augmented and mixed reality as auxiliary tools in dental procedures and their integration with artificial intelligence: a scoping review

Objectives To map and synthesize the scientific evidence regarding the use of Augmented Reality (AR) and Mixed Reality (MR) as auxiliary tools in dental procedures, and to examine the extent to which Artificial Intelligence (AI) has been integrated into these workflows. Data A scoping review was conducted in accordance with the PRISMA-ScR guidelines and the Joanna Briggs Institute (JBI) recommendations. The study selection and data extraction processes were carried out by two independent reviewers, with disagree…

Both readings

Future promise, current clinical ambiguity: a systematic review of machine learning algorithm outputs predicting risk of cardiovascular disease

Objective To examine whether the outputs of machine learning algorithms designed to predict risk of cardiovascular disease (CVD) address known deficiencies of the Framingham Risk Score (FRS) and improve risk estimates. Methods For this critical review, Medline, Embase and IEEE were searched from inception to 1 January 2025. Included were studies describing machine learning algorithms designed to specifically compare output of cardiovascular risk assessment with the FRS. Commentaries, letters, unpublished work or…

Both readings

Current state of research and future developments of artificial intelligence in pain diagnosis and treatment

Chronic pain represents a significant global health challenge, with traditional diagnostic and therapeutic approaches facing limitations in objective assessment and precision treatment. Advances in artificial intelligence (AI) technology have opened new avenues for addressing these challenges. This review systematically examines the current state and future trends of AI research in the field of pain medicine. The article focuses on three core research directions: In pain assessment, studies concentrate on levera…

Evidence-backed gain

Artificial Intelligence as an Assistive Tool in Breast Cancer Screening and Diagnosis in the Digital Era

Objective Breast cancer (BC) is a worldwide health task, and its increasing frequency and the associated burden on healthcare professionals are also increasing. Hence, integrating machine learning (ML) and artificial intelligence (AI) into screening and diagnosis is irrefutable in the digital age. A comprehensive systematic review was conducted aimed at assessing the application of AI and ML techniques to enhance BC screening, diagnosis, classification, and tumor marker scoring. Methods An electronic literature…

Health

Artificial Intelligence-Enabled Orthodontic Care for Remote and Underserved Populations: A Scoping Review of Access, Technology, and Public Health Integration

Background Unequal access to orthodontic care remains a major public health challenge, particularly in rural and underserved regions, recent advancements in artificial intelligence (AI) and digital orthodontics offer potential to bridge these gaps through remote diagnosis and monitoring. Aim This scoping review aims to systematically map and categorize how AI applications in orthodontic diagnosis, treatment planning, and remote monitoring enhance access to care for underserved and remote populations while identi…

Crime

made Gaza documentary wins at Venice festival

A new documentary by two Israeli directors that accuses Israel of AI-assisted killing of civilians in Gaza won the Special Jury Prize at the Venice Film Festival on Saturday night.

Lifestyle

Ganesh Sthapna decoration ideas 2026: 10 best AI prompts to create beautiful Ganpati decor at home with floral, DIY and eco-friendly themes

Ganesh Chaturthi AI decoration prompt: Planning Ganesh Sthapna decorations has never been easier with ChatGPT. Devotees can engage the AI to explore diverse themes and tailor their requests. For optimal results, prompts should include details like available space, budget constraints, and design preferences. Whether seeking traditional, modern, or eco-friendly Ganpati arrangements, this guide empowers users to craft stunning and personalized festive settings.

Media & Arts

Australia’s AI music decision opens a new front in the fight over human creativity

ARIA stripped AI-generated tracks from Australia's charts, ruling recordings must be "substantially human-made." Craig Anderson of Craigman Digital, who has restored masters for Green Day and RHCP, argues the precedent matters far beyond music.

Climate

‘Tidal wave’ of Pfas being launched to satisfy AI industry, campaigners warn

Pfas companies are launching a “tidal wave” of forever chemicals production to meet demand from the AI industry, a campaign organisation has warned. Despite alarm over the chemicals, which have been linked to cancer, a survey of the 10 biggest manufacturers found most had plans to increase production. Many frame their investments around the “AI revolution”, because of the role Pfas play in semiconductor production and next-generation datacentre cooling systems. But opponents warn that the chemicals, which never…

Labor

Can you futureproof your career by choosing an AI-resistant degree?

Futureproofing your career with an AI-resistant degree is a tough ask, says Charlie Ball, an expert on graduate employment for Jisc, the UK’s higher education digital, data and technology agency. “What you’re trying to do is futureproof a 45-year career in a time of rapid technological change – and that’s really quite hard to do. What’s likely is that jobs that hinge a lot on human, face-to-face interaction are unlikely to be replaced.” He warns however that the discussion should focus less on identifying specif…

Health

Temporal and cross-site validation of an AI system for self-harm detection

Adequate self-harm surveillance is a key part of suicide prevention. Our previous research demonstrated that an artificial intelligence (AI)-based system could effectively detect self-harm in emergency department triage notes. However, the system was developed using data from a single hospital, raising concerns about its generalisability. Here, we aim to validate the system prospectively and externally to better understand its portability across hospitals. We leveraged emergency department data from two Australi…