Future of work

How AI is transforming healthcare and patient management

AI is moving from theory to practice in healthcare. Hospitals and clinics are adopting AI to improve diagnostics, automate routine tasks, support overworked staff, and cut costs. A recent GoodFirms survey shows strong confidence that AI will become essential to patient care and health management.

Survey findings reveal that nearly all respondents believe AI will transform healthcare. Robotic surgery, predictive analytics, and diagnostic imaging are gaining momentum, while digital consultations and wearable monitors are expanding patient access.

AI-driven tools are also helping reduce human errors, improve decision-making, and support clinicians with real-time insights.

Challenges remain, particularly around data privacy, transparency, and the risk of over-reliance on technology. Concerns about misdiagnosis, lack of human empathy, and job displacement highlight the need for responsible implementation.

Even so, the direction is clear: AI is set to be a defining force in healthcare’s future, enabling more efficient, accurate, and equitable systems worldwide.

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New AI agent boosts game testing

Researchers from Zhejiang University and NetEase Fuxi AI Lab have developed Titan, an AI-powered agent transforming MMORPG testing. Using large-language-model reasoning, Titan navigates MMORPGs, efficiently completing tasks and identifying issues.

In trials across two commercial games, Titan achieved a 95% task completion rate and uncovered four previously undetected bugs. Outperforming human testers in speed and coverage, the AI agent offers a faster, more thorough approach to quality assurance in game development.

Titan mimics expert testers by perceiving game states, selecting actions, and diagnosing problems. Using simplified text and screenshots, it reasons through objectives, streamlining a traditionally costly and time-consuming process that can consume millions in labour.

Already integrated into QA pipelines, Titan signals a shift toward AI-driven game testing. As studios increasingly adopt AI tools, such agents could redefine efficiency across PC and mobile game development.

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Doctors and nurses outperform AI in patient triage

Human staff are more accurate than AI in assessing patient urgency in emergency departments, according to research presented at the European Emergency Medicine Congress in Barcelona.

The study, led by Dr Renata Jukneviciene of Vilnius University, tested ChatGPT 3.5 against clinicians and nurses using real case studies.

Doctors achieved an overall accuracy of 70.6% and nurses 65.5%, compared with 50.4% for AI. Doctors also outperformed AI in surgical and therapeutic cases, while nurses were more reliable overall.

AI did show strength in recognising the most critical cases, surpassing nurses in both accuracy and specificity. Researchers suggested that AI may help prioritise life-threatening situations and support less experienced staff instead of acting as a replacement.

However, over-triaging by AI could lead to inefficiencies, making human oversight essential.

Future studies will explore newer AI models, ECG interpretation, and integration into nurse training, particularly in mass-casualty scenarios.

Commenting on the findings, Dr Barbra Backus from Amsterdam said AI has value in certain areas, such as interpreting scans, but it cannot yet replace trained staff for triage decisions.

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Claude Sonnet 4.5 expands developer options with rollbacks and longer-running agents

Anthropic has released Claude Sonnet 4.5, featuring a suite of new upgrades designed to enhance coding, automation, and creativity. The update enhances Claude Code, extends Computer Use, and introduces experimental tools to boost productivity and facilitate real-world applications.

Claude Code now features checkpoints, allowing developers to roll back projects to earlier versions. The Claude API has also been expanded, supporting longer-running agents to generate files such as slides, spreadsheets, and documents directly within chats.

The model’s Computer Use function has been strengthened, enabling agents to operate applications for up to 30 hours autonomously. Anthropic says Claude Sonnet 4.5 built a Slack-style app with 11,000 lines of code in one session.

A new feature, Imagine with Claude, focuses on generating creative software. The system produced a Shakespeare-themed desktop with customised scripts and performance schedules from a single prompt, highlighting its versatility.

Anthropic has maintained steady pricing for free and premium users, positioning Sonnet 4.5 as its most practical and feature-rich release yet, combining reliability with expanded creative and developer-friendly tools.

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Rising stress leaves cyber professionals at breaking point

Burnout is a significant challenge in the cybersecurity sector, as workers face rising threats and constant pressure to defend organisations. A BBC report highlights how professionals often feel overworked and undervalued, with stress levels leading some to take extended leave.

UK-based surveys reflect growing strain. Membership body ISC2 found that job satisfaction among cybersecurity staff dropped in 2024, with burnout cited as a key issue. Experts say demands have increased while resources remain stretched, leaving staff expected to stay on call around the clock.

Hackers are becoming more aggressive, targeting health services, retailers, and critical national infrastructure. Nation-state actors, including North Korean groups linked to large crypto thefts, are also stepping up activity. These attacks add to the psychological burden on frontline defenders.

Industry figures warn that high turnover risks weakening cyber resilience, especially in junior roles. Initiatives like Cybermindz call for better mental health support, while some argue for protections akin to those for first responders.

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Harvard researchers develop AI for brain surgery

Harvard researchers have developed an AI tool to distinguish glioblastoma from similar brain tumours during surgery. The PICTURE system gives surgeons near-real-time guidance for critical decisions during surgery.

PICTURE outperformed humans and other AI, correctly distinguishing glioblastoma from PCNSL over 98 percent of the time in international tests. The tool also flags cases it is unsure of, allowing human review and reducing the risk of misdiagnosis, particularly in complex or rare brain tumours.

The AI works on frozen tissue samples, commonly used for rapid surgical evaluation, and can identify crucial cancer features such as cell shape, density, and necrosis.

Accurate tumour differentiation helps surgeons avoid unnecessary tissue removal and choose the proper treatment- surgery for glioblastoma or radiation and chemotherapy for PCNSL.

Researchers envision PICTURE could be used in surgery and pathology to aid AI collaboration, train pathologists, and improve access to neuropathology expertise. Further studies are planned to test its accuracy across more diverse populations and potentially extend its application to other cancer types.

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Anthropic unveils Claude Sonnet 4.5 as the best AI coding model yet

Anthropic has released Claude Sonnet 4.5, its most advanced AI model yet, claiming state-of-the-art results in coding benchmarks. The company says the model can build production-ready applications, rather than limited prototypes, making it more reliable than earlier versions.

Claude Sonnet 4.5 is available through the Claude API and chatbot at the same price as its predecessor, with $3 per million input tokens and $15 per million output tokens.

Early enterprise tests suggest the model can autonomously code for extended periods, integrate databases, secure domains, and perform compliance checks such as SOC 2 audits.

Industry leaders have endorsed the launch, with Cursor and Windsurf calling it a new generation of AI coding models. Anthropic also emphasises more substantial alignment, noting reduced risks of deception and sycophancy, and improved resistance to prompt injection attacks.

Alongside the model, the company has introduced a Claude Agent SDK to let developers build customised agents, and launched ‘Imagine with Claude’, a research preview showing real-time code generation.

A release that highlights the intense competition in AI, with Anthropic pushing frequent updates to keep pace with rivals such as OpenAI, which has recently gained ground on coding performance with GPT-5.

Claude Sonnet 4.5 follows just weeks after Anthropic’s Claude Opus 4.1, underlining the rapid development cycles driving the sector.

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NSW expands secure AI platform NSWEduChat across schools

Following successful school trials, the New South Wales Department of Education has confirmed the broader rollout of its in-house generative AI platform, NSWEduChat.

The tool, developed within the department’s Sydney-based cloud environment, prioritises privacy, security, and equity while tailoring content to the state’s educational context. It is aligned with the NSW AI Assessment Framework.

The trial began in 16 schools in Term 1, 2024, and then expanded to 50 schools in Term 2. Teachers reported efficiency gains, and students showed strong engagement. Access was extended to all staff in Term 4, 2024, with Years 5–12 students due to follow in Term 4, 2025.

Key features include a privacy-first design, built-in safeguards, and a student mode that encourages critical thinking by offering guided prompts rather than direct answers. Staff can switch between staff and student modes for lesson planning and preparation.

All data is stored in Australia under departmental control. NSWEduChat is free and billed as the most cost-effective AI tool for schools. Other systems are accessible but not endorsed; staff must follow safety rules, while students are limited to approved tools.

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Lufthansa turns to automation and AI for efficiency

Lufthansa Group has unveiled a transformation strategy that places digitalisation and AI at the centre of its future operations. At Capital Markets Day, the company said efficiency will come from automation and streamlined processes.

Around 4,000 administrative roles are set to be cut by 2030, mainly in Germany, as Lufthansa consolidates functions and reduces duplication of work. Executives stressed that the focus will be on non-operational roles, with staff reductions to be conducted in consultation with social partners.

The airline group also confirmed continued investment in fleet renewal, with more than 230 new aircraft expected by 2030. Digital transformation and AI aim to cut costs, accelerate decisions, and boost competitiveness across the group’s airlines, cargo, and technical services.

By 2030, Lufthansa aims for an 8-10 percent EBIT margin, 15-20 percent return on capital, and over €2.5 billion in annual free cash flow. The company said these measures will ensure long-term resilience in a changing industry.

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AI agents complete first secure transaction with Mastercard and PayOS

PayOS and Mastercard have completed the first live agentic payment using a Mastercard Agentic Token, marking a pivotal step for AI-driven commerce. The demonstration, powered by Mastercard Agent Pay, extends the tokenisation infrastructure that already underpins mobile payments and card storage.

The system enables AI agents to initiate payments while enforcing consent, authentication, and fraud checks, thereby forming what Mastercard refers to as the trust layer. It shows how card networks are preparing for agentic transactions to become central to digital commerce.

Mastercard’s Chief Digital Officer, Pablo Fourez, stated that the company is developing a secure and interoperable ecosystem for AI-driven payments, underpinned by tokenized credentials. The framework aims to prepare for a future where the internet itself supports native agentic commerce.

For PayOS, the milestone represents a shift from testing to commercialisation. Chief executive Johnathan McGowan said the company is now onboarding customers and offering tools for fraud prevention, payments risk management, and improved user experiences.

The achievement signals a broader transition as agentic AI moves from pilot to real-world deployment. If security models remain effective, agentic payments could soon differentiate platforms, merchants, and issuers, embedding autonomy into digital transactions.

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