Radiologists face increasing workload pressures amid growing imaging volumes, creating risks of burnout and delayed reporting times. While artificial intelligence (AI) based automated radiology report generation shows promise for reporting workflow optimization, evidence of its real-world impact on clinical accuracy and efficiency remains limited. This study evaluated the effect of draft reports on radiology reporting workflows by conducting a three reader multi-case study comparing standard versus AI-assisted reporting workflows. In both workflows, radiologists reviewed the cases and modified either a standard template (standard workflow) or an AI-generated draft report (AI-assisted workflow) to create the final report. For controlled evaluation, we used GPT-4 to generate simulated AI drafts and deliberately introduced 1-3 errors in half the cases to mimic real AI system performance. The AI-assisted workflow significantly reduced average reporting time from 573 to 435 seconds (p=0.003), without a statistically significant difference in clinically significant errors between workflows. These findings suggest that AI-generated drafts can meaningfully accelerate radiology reporting while maintaining diagnostic accuracy, offering a practical solution to address mounting workload challenges in clinical practice.

The two European Parliament co-rapporteurs finalised the Artificial Intelligence (AI) draft report on Monday (11 April), covering where they have found common ground. The most controversial issues have been pushed further down the line. Liberal Dragoș Tudorache and social-democrat Brando Benifei have been spearheading the discussion on the AI Act for the civil rights and consumer protection committees of the European Parliament, respectively. "There are things that we agreed already, and they will be in the draft report, and things on which we think that we will agree, but because we haven't found right now the common denominator, we did not put them in the report," Tudorache said. "Our approach has been to make this regulation truly human-centric," Benifei told EURACTIV.

But what would AI be most concerned about when thinking of its future? What technology wants is a perplexing question ever since it has been asked directly by Kevin Kelly. Yet even before him, many have pondered over the answer to this question, that only the most self-absorbed species could ask of their imperfect creation. But is technology truly our creation? What is the essence of technology?

We most frequently talk about is what concerns us the most. But what would AI be most concerned about when thinking of its future? What technology wants is a perplexing question ever since it has been asked directly by Kevin Kelly. Yet even before him, many have pondered over the answer to this question, that only the most self-absorbed species could ask of their imperfect creation. But is technology truly our creation? What is the essence of technology?

In little over a decade, AI has moved out of the laboratories and into the consumer's hands. AI has already begun to make big waves in military and strategic affairs too. Almost all defence experts agree that the application of AI in the armed forces could impact every sphere and degree of warfare. This draft report focuses on the key opportunities, challenges and uncertainties AI presents for defence and security. It takes some deep dives into: • AI's impact on information and decision support and robotic autonomous systems; • crucial technical and non-technical challenges – including the debate about lethal autonomous weapons systems, and; • some potential strategic implications.

As such, even though these technologies bring huge potential and opportunities, they still need to be closely monitored. The University of New South Wales Research Ethics and Compliance Support Director Dr Ted Rohr told HITNA that issues around ethics arise when healthcare access data from medical records for research, for example. "Ethics is all about deciding whether the use of technology is appropriate and is used for public good. For example, AI has its positives, but it can be misused. So, having an ethical framework allows the proper use of medical databases for research and experiments with patients using devices," he said.

MEPs in the European Parliament's Committee on Industry, Research and Energy backed plans on Monday evening (14 January) for a comprehensive policy framework on artificial intelligence (AI) and robotics, weeks after ethical concerns in the field were highlighted in a EU report. Parliament's report, though not legally binding, gives a clear signal that MEPs will seek to pressure the Commission to draw up an industrial policy for artificial intelligence and robotics. "This is a key area and I am pleased that we have been able to make some strong suggestions on AI," British Conservative MEP Ashley Fox said on Tuesday evening. "The technology is not confined to the boundaries of the single market and it is imperative that the EU work at the international level to agree on standards." MEPs noted the future potential for AI and robotics to transform a number of sectors ranging from health, energy, manufacturing and transport, and also urged member states to develop new training programmes that cultivate skills in areas that are likely to be affected by future autonomous technologies.

I was asked to write a short op-ed on the European Parliament Law Committee's recommendations on civil law rules for robotics. In the end, the piece didn't get published, so I am posting it here: It is a great shame that most reports of the European Parliament's Committee for Legal Affairs' vote on its Draft Report on Civil Law Rules on Robotics headlined on'personhood' for robots because the report has much else to commend it. Most important among its several recommendations is a proposed code of ethical conduct for roboticists, which explicitly asks designers to research and innovate responsibly. Some may wonder why such an invitation even needs to be made but, given that engineering and computer science education rarely includes classes on ethics (it should), it is really important that robotics engineers reflect on their ethical responsibilities to society – especially given how disruptive robot technologies are. This is not new – great frameworks for responsible research and innovation already exist.

The first of the digital GP services to face a CQC inspection has been given a provisional clean bill of health, with the service provided via a mobile app deemed "safe". A draft Care Quality Commission inspection report on Salford Quays, Manchester, also known as Dr Now, has been released by the company. The draft report found the service provided "safe care in accordance with the relevant regulations". Dr Now is one of two private digital healthcare providers, along with Babylon Health, that the CQC has inspected as part of an "independent health" pilot. As reported by Digital Health News earlier this week, by April next year the CQC plans to roll out a more focused regulatory regime for the growing number of digital healthcare services, many of them run by companies charging for private access to NHS doctors.

Artificial intelligence (AI), robotics and automation are possibly the most fascinating topics for those dealing with technology (and sourcing) matters. They raise a lot of interesting questions and scenarios. Even the few official legal documents about these subjects refer to Mary Shelley's Frankenstein, Pygmalion, Prague's Golem – and the more obvious Asimov's Three Laws of Robotics (see the EU Parliament Draft Report with recommendations to the Commission on Civil Law Rules on Robotics). But this is not only about philosophy and futuristic settings. There is already no doubt that robots, androids and all other forms of artificial intelligence are already playing a fundamental role in the new Internet of Things (IoT) "smart" industrial revolution, which will affect most if not all industrial sectors and countries.