AI is extending the clinical value of chest X-rays beyond lung and heart assessment. Researchers are investigating whether routine radiographs can support broader disease screening without the need for additional scans. Early findings suggest existing images may contain underused diagnostic signals.
A study in Radiology: Cardiothoracic Imaging examined whether AI could detect hepatic steatosis from standard frontal chest X-rays. Researchers analysed more than 6,500 images from over 4,400 patients across two institutions. Deep learning models were trained and externally validated.
The AI system achieved area-under-curve scores above 0.8 in both internal and external tests. Saliency maps showed predictions focused near the diaphragm, where part of the liver appears on chest X-rays. Results suggest that reliable signal extraction can be achieved from routine imaging.
Researchers argue the approach could enable opportunistic screening during standard care. Patients flagged by AI could be referred for a dedicated liver assessment when appropriate. The method adds clinical value without increasing imaging costs or radiation exposure.
Experts caution that the model is not a standalone diagnostic tool and requires further prospective validation. Integration with clinical and laboratory data remains necessary to reduce false positives. If validated, AI-enhanced X-rays could support scalable risk stratification.
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Chief financial officers predict AI will shift finance from experimentation to enterprise-wide impact in 2026. Real-time insights, scenario modelling and strategic decision-making are expected to become central to finance functions.
Success depends on trusted data, strong governance, modernised architectures and human judgement. AI will not replace expertise, but rather reveal gaps and reward organisations that integrate AI with their strategy.
CFOs plan to use AI for capital allocation, forecasting, risk management and operational efficiency. The focus is moving from efficiency gains to transformative, high-value work that drives measurable outcomes.
Enterprise-wide adoption of AI will require robust oversight and upskilling of finance teams. Leaders who modernise systems and combine AI with human expertise will gain a competitive edge.
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Amid growing attention on AI, Google DeepMind chief Demis Hassabis has argued that future systems could learn anything humans can.
He suggested that as technology advances, AI may no longer remain confined to single tasks. Instead of specialising narrowly, it could solve different kinds of problems and continue improving over time.
Supporters say rapid progress already shows how powerful the technology has become.
Other experts disagree and warn that human intelligence remains deeply complex. People rely on emotions, personal experience and social understanding when they think, while machines depend on data and rules.
Critics argue that comparing AI with the human mind oversimplifies how intelligence really works, and that even people vary widely in ability.
Elon Musk has supported the idea that AI could eventually learn as much as humans, while repeating his long-standing view that powerful systems must be handled carefully. His backing has intensified the debate, given his influence in the technology world.
The discussion matters because highly capable AI could reshape work, education and creativity, raising questions over safety and control.
For now, AI performs specific tasks extremely well yet cannot think or feel like humans, and no one can say for certain whether true human-level intelligence will ever emerge.
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The growing demand for AI is reshaping the fortunes of the memory chip industry, according to leading manufacturers, who argue that the scale of AI investment is altering the sector’s typical boom-and-bust pattern.
The technology is creating more structural demand, rather than the sharp cyclical spikes that previously defined the market.
AI workloads depend heavily on robust memory systems, particularly as companies expand data centre capacity worldwide. Major chipmakers now expect steadier growth because AI models require vast data handling rather than one-off hardware surges.
Analysts suggest it could reduce the volatility that has often led to painful downturns for the industry.
Additionally, some reports claim that Japanese technology group Rakuten is prioritising low-cost AI development to improve profitability across its businesses.
Its AI leadership stresses the need to deploy systems that maximise margins instead of simply chasing capability for its own sake.
The developments underscore how AI is not only transforming software and services but also reshaping the economics of the hardware required to power them, from memory chips to cloud infrastructure on a global scale.
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AI is transforming how news is produced and consumed, moving faster than audiences and policies can adapt. Journalists increasingly use AI for research, transcription and content optimisation, creating new trust challenges.
Ethical concerns are rising when AI misrepresents events or uses content without consent. Media organisations have introduced guidelines, but experts warn that rules alone cannot cover every scenario.
Audience scepticism remains, even as journalists adopt AI tools in daily practice. Transparency, apparent human oversight and ethical adoption are key to maintaining credibility and legitimacy.
Europe faces pressure to strengthen its trust infrastructure and regulate the use of AI in newsrooms. Experts argue that democratic stability depends on informed audiences and resilient journalism to counter disinformation.
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TikTok removed fake adverts for weight loss drugs after a company impersonating UK retailer Boots used AI-generated videos. The clips falsely showed healthcare professionals promoting prescription-only medicines.
Boots said it contacted TikTok after becoming aware of the misleading adverts circulating on the platform. TikTok confirmed the videos were removed for breaching its rules on deceptive and harmful advertising.
BBC reporting found the account was briefly able to repost the same videos before being taken down. The account appeared to be based in Hong Kong and directed users to a website selling the drugs.
UK health regulators warned that prescription-only weight loss medicines must only be supplied by registered pharmacies. TikTok stated that it continues to strengthen its detection systems and bans the promotion of controlled substances.
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Splat is a new mobile app from the team behind Retro that uses generative AI to transform personal photos into colouring pages designed for children. The app targets parents seeking creative activities, free from advertising clutter and pay-per-page websites.
Users can upload images from their camera roll or select from curated educational categories, then apply styles such as cartoon, anime or comic.
Parents guide the initial setup through simple preferences instead of a lengthy account creation process, while children can colour either on-screen or on printed pages.
Splat operates on a subscription basis, offering weekly or annual plans that limit the number of generated pages. Access to payments and settings is restricted behind parental verification, helping prevent accidental purchases by younger users.
The app reflects a broader trend in applying generative AI to child-friendly creativity tools. By focusing on ease of use and offline activities, Splat positions itself as an alternative to screen-heavy entertainment while encouraging imaginative play.
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AI is becoming central to Vietnam’s urban development as major cities adopt data-led systems. Leaders at the Vietnam–Asia Smart City Summit said AI now shapes planning, service delivery and daily operations nationwide.
Experts noted rising pressure on cities, with congestion, pollution and population growth driving demand for more innovative governance. AI is helping authorities shift towards proactive management, using forecasting tools, shared data platforms and real-time supervision.
Speakers highlighted deployments across transport control, environmental monitoring, disaster alerts and administrative oversight. Hanoi and Da Nang presented advanced models, with Da Nang recognised again for achievements in green development and digital operations.
Delegates agreed that long-term progress depends on strong data foundations, closer coordination and clear strategic roadmaps in Vietnam. Many stressed that technology must prioritise public benefit, with citizens placed at the centre of smart-city design.
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Florida lawmakers are preparing a sweeping AI Bill of Rights as political debates intensify. Senator Tom Leek introduced a proposal to provide residents with clearer safeguards while regulating how firms utilise advanced systems across the state.
The plan outlines parental control over minors’ interactions with AI and requires disclosure when people engage with automated systems. It also sets boundaries on political advertising created with AI and restricts state contracts with suppliers linked to countries of concern.
Governor Ron DeSantis maintains Florida can advance its agenda despite federal attempts to curb state-level AI rules. He argues the state has the authority to defend consumers while managing the rising costs of new data centre developments.
Democratic lawmakers have raised concerns about young users forming harmful online bonds with AI companions, prompting calls for stronger protections. The legislation now forms part of a broader clash over online safety, privacy rights and fast-growing AI industries.
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Canada’s productivity gap is expected to accelerate nationwide adoption of AI in 2026, according to leading legal and industry experts. Businesses and governments are moving from experimentation to deployment as pressure mounts to improve economic performance.
Canada retains strong research credentials and a responsible AI culture, yet still trails in compute capacity and commercial scaling. Major investments scheduled for 2026 are expected to support emerging demand across sectors.
Firms are seeking clearer national rules to guide the safe adoption of AI, especially regarding privacy and governance. Ottawa’s recent research and talent programme aims to attract global experts and strengthen commercial pathways.
Industry leaders expect AI agents to gain prominence by 2027, increasing the need for human oversight and trust. Policymakers and companies are urged to strike a balance between rapid innovation and clarity, confidence, and long-term productivity goals.
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