Mum with £19k Red Bull "addiction" goes cold turkey after fatty liver diagnosis
A mum who had a £19k "addiction" to Red Bull has gone cold turkey after being diagnosed with non-alcoholic fatty liver disease. Lucy Parker, 35, went for a CT scan after having pain in her thighs which revealed a cyst on her ovary and also highlighted a build-up of fat in the liver - which could lead to serious liver damage, including cirrhosis, if it got worse. After cutting her three energy drinks a day habit - which saw her spend almost £20k on the energy drink over 15 years - Lucy claims doctors have seen improvements in her liver and says has no damage like fibrosis which means her condition is reversible. She has also been using Chat GPT to help her make "little swaps" in her diet and help her understand her condition more clearly - which she's hoping to fully reverse after going cold turkey on the fizzy energy drinks.
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New York Times
an hour ago
- New York Times
Chelsea defender Millie Bright undergoes knee surgery following England withdrawal
Chelsea captain Millie Bright has undergone minor knee surgery, the club has confirmed. The news follows Bright's decision to withdraw from selection for England ahead of Euro 2025. 'Millie will begin a period of rehabilitation with the support of the club's medical department,' Chelsea said in a statement. The club did not confirm a timeframe for Bright's recovery. Advertisement The 31-year-old withdrew from the England squad in May ahead of Nations League games against Portugal and Spain before confirming on Wednesday that she would not play at this summer's Euros. 'Football has given me so much, and representing my country has always been my greatest honour,' Bright said on social media. 'My pride and ego tells me to go but I think the team and the fans deserve more. Right now I'm not able to give 100 per cent mentally or physically. 'As much as I want to be out there running through brick walls for England and fighting alongside my team-mates, stepping back is the right thing for my health, my future in the game and most importantly the team. Bright has 88 caps for England and has been a staple of the side under Sarina Wiegman, starting every game of the victorious Euro 2022 campaign. Her decision to withdraw followed goalkeeper Mary Earps' surprise decision to retire from international competition. The Athletic reported that Wiegman had informed Earps that she would no longer be England's first-choice goalkeeper. Brighton & Hove Albion midfielder Fran Kirby announced her own international retirement on Tuesday. Bright is Chelsea's longest continuously serving player having joined the side in 2014 from Doncaster Rovers Belles and making her debut the following year. She has won the most games of any player in WSL history. The defender appeared in all but one of Chelsea's league games in the 2024-25 season as they secured a record-extending sixth straight Women's Super League (WSL) title. Bright has won eight WSL titles in total as well as the FA Cup six times and the League Cup on three occasions. She also helped Chelsea reach the final of the 2020-21 Women's Champions League, where they were defeated by Barcelona. She was appointed Chelsea captain ahead of the 2023-24 campaign, having also worn the armband for England at the 2023 World Cup, leading the team to the final. ()

Business Insider
an hour ago
- Business Insider
AI isn't replacing radiologists. Instead, they're using it to tackle time-sucking administrative tasks.
Generative AI powered by large language models, such as ChatGPT, is proliferating in industries like customer service and creative content production. But healthcare has moved more cautiously. Radiology, a specialty centered on analyzing digital images and recognizing patterns, is emerging as a frontrunner for adopting new AI techniques. That's not to say AI is new to radiology. Radiology was subject to one of the most infamous AI predictions when Nobel Prize winner Geoffrey Hinton said, in 2016, that " people should stop training radiologists now." But nearly a decade later, the field's AI transformation is taking a markedly different path. Radiologists aren't being replaced, but are integrating generative AI into their workflows to tackle labor-intensive tasks that don't require clinical expertise. "Rather than being worried about AI, radiologists are hoping AI can help with workforce challenges," explained Dr. Curt Langlotz, the senior associate vice provost for research and professor of radiology at Stanford. Regulatory challenges to generative AI in radiology Hinton's notion wasn't entirely off-base. Many radiologists now have access to predictive AI models that classify images or highlight potential abnormalities. Langlotz said the rise of these tools "created an industry" of more than 100 companies that focus on AI for medical imaging. The FDA lists over 1,000 AI/ML-enabled medical devices, which can include algorithms and software, a majority of which were designed for radiology. However, the approved devices are based on more traditional machine learning techniques, not on generative AI. Ankur Sharma, the head of medical affairs for medical devices and radiology at Bayer, explained that AI tools used for radiology are categorized within computer-aided detection software, which helps analyze and interpret medical images. Examples include triage, detection, and characterization. Each tool must meet regulatory standards, which include studies to determine detection accuracy and false positive rate, among other metrics. This is especially challenging for generative AI technologies, which are newer and less well understood. Characterization tools, which analyze specific abnormalities and suggest what they might be, face the highest regulatory standards, as both false positives and negatives carry risks. The idea of a kind of gen AI radiologist capable of automated diagnosis, as Hinton envisioned, would be categorized as "characterization" and would have to meet a high standard of evidence. Regulation isn't the only hurdle generative AI must leap to see broader use in radiology, either. Today's best general-purpose large language models, like OpenAI's GPT4.1, are trained on trillions of tokens of data. Scaling the model in this way has led to superb results, as new LLMs consistently beat older models. Training a generative AI model for radiology at this scale is difficult, however, because the volume of training data available is much smaller. Medical organizations also lack access to compute resources sufficient to build models at the scale of the largest large language models, which cost hundreds of millions to train. "The size of the training data used to train the largest text or language model inside medicine, versus outside medicine, shows a one-hundred-times difference," said Langlotz. The largest LLMs train on databases that scrape nearly the entire internet; medical models are limited to whatever images and data an institution has access to. Generative AI's current reality in radiology These regulatory obstacles would seem to cast doubt on generative AI's usefulness in radiology, particularly in making diagnostic decisions. However, radiologists are finding the technology helpful in their workflows, as it can undertake some of their daily labor-intensive administrative tasks. For instance, Sharma said, some tools can take notes as radiologists dictate their observations of medical images, which helps with writing reports. Some large language models, he added, are "taking those reports and translating them into more patient-friendly language." Dr. Langlotz said a product that drafts reports can give radiologists a "substantial productivity advantage." He compared it to having resident trainees who draft reports for review, a resource that's often available in academic settings, but less so in radiology practices, such as a hospital's radiology department. Sharma said that generative AI could help radiologists by automating and streamlining reporting, follow-up management, and patient communication, giving radiologists time to focus more on their "reading expertise," which includes image interpretation and diagnosis of complex cases. For example, in June 2024, Bayer and Rad AI announced a collaboration to integrate generative AI reporting solutions into Bayer's Calantic Digital Solution Platform, a cloud-hosted platform for deploying AI tools in clinical settings. The collaboration aims to use Rad AI's technology to help radiologists create reports more efficiently. For example, RadAI can use generative AI transcription to generate written reports based on a radiologist's dictated findings. Applications like this face fewer regulatory hurdles because they don't directly influence diagnosis. Looking ahead, Dr. Langlotz said he foresees even greater AI adoption in the near future. "I think there will be a change in radiologists' day-to-day work in five years," he predicted.


Geek Vibes Nation
2 hours ago
- Geek Vibes Nation
ChatGPT Analyzes Your Emails, Calendar, And Files In The Cloud - Here's What It Can Do Now
In 2025, AI-powered tools like ChatGPT from OpenAI are no longer just assistants for generating text or answering questions. Now, ChatGPT has expanded its functionality to help you manage your emails, calendar, and cloud files. With the latest integrations, ChatGPT can analyze and organize your data across multiple platforms, including Google and Microsoft, offering a more personalized and efficient way to stay organized and on top of your tasks. These new features make ChatGPT a comprehensive productivity assistant for professionals, students, and busy individuals looking to streamline their workflows. By integrating Deep Research, ChatGPT can now retrieve relevant information from your email threads, calendar events, and even documents stored in the cloud. Let's dive into how these features work and how you can take advantage of them to boost your productivity How Chatronix Supercharges ChatGPT's Email, Calendar, and Cloud File Integrations While ChatGPT has become an indispensable tool for personal productivity, Chatronix makes it even more powerful. By integrating ChatGPT with Claude (from Anthropic) and Gemini (from Google DeepMind), Chatronix creates a unified AI workspace that streamlines the process of accessing and managing your emails, calendar, and cloud files. With Chatronix, you can: Run the same prompt across multiple AI models to get diverse insights and responses for more accuracy. Organize and store AI-generated summaries and task lists for future reference. Collaborate seamlessly by sharing documents, email threads, and meeting summaries with team members or assistants. Track your progress and set reminders based on your calendar and to-do list. For just $25/month, Chatronix provides a comprehensive AI assistant that enhances ChatGPT's capabilities, making it the perfect solution for professionals looking to streamline their productivity. Discover how Chatronix can enhance your productivity ChatGPT Analyzes Emails, Calendar, and Files in the Cloud: Here's How It Works The new functionality of ChatGPT allows it to seamlessly integrate with email platforms like Gmail and Microsoft Outlook, calendar tools like Google Calendar and Microsoft Outlook Calendar, and cloud storage services such as Google Drive and OneDrive. This integration provides the following benefits: 1. Analyzing and Organizing Your Emails ChatGPT can now automatically analyze your email inbox, identify important messages, and even draft responses. Whether you need help responding to client emails or sorting through personal correspondence, ChatGPT can provide: Summaries of long email threads: ChatGPT can extract the key points from lengthy conversations, saving you time and helping you stay focused on what matters most. Email drafts and responses: You can give ChatGPT a prompt, and it will help you draft polite, professional responses, whether it's for customer support, colleagues, or personal contacts. For instance, ChatGPT can summarize your emails and help prioritize follow-ups, ensuring nothing important gets lost in the inbox. 2. Organizing and Managing Your Calendar ChatGPT now integrates directly with your calendar to provide real-time updates and reminders. With the integration into Google Calendar or Microsoft Outlook, ChatGPT can: Summarize upcoming meetings and events, ensuring you're prepared in advance. Provide time-sensitive reminders, including tasks and appointments. Reschedule meetings or find available time slots for new appointments, all using natural language processing. This feature eliminates the need to manually check and update your calendar, making it easier to stay organized throughout the day. 3. Finding Files Across Your Cloud Storage We all have cloud storage with dozens of files scattered across platforms like Google Drive, OneDrive, or Dropbox. ChatGPT now allows you to search and retrieve files based on your queries. You can ask ChatGPT to find specific documents, like reports, proposals, or contracts, from your cloud storage. For example, you can prompt ChatGPT with: Prompt: 'Find the project proposal document in my Google Drive that I worked on last month.' ChatGPT will then search through your cloud files, retrieve the relevant documents, and even provide a brief summary. This feature is particularly useful when you need a quick reference or want to save time searching for files across multiple platforms. Why These ChatGPT Features Are a Game-Changer for Productivity The integration of AI with your daily tasks is a massive leap forward for productivity. Here's why the new ChatGPT features are changing the game: Efficient Time Management By using ChatGPT to analyze your emails and calendar, you can avoid wasting time sifting through endless threads and scheduling conflicts. AI-generated summaries allow you to prioritize the most urgent tasks, while calendar integration ensures you never miss an important appointment. Seamless Workflow Across Platforms Integrating ChatGPT with Google, Microsoft, and GitHub allows you to work across multiple platforms without switching between tabs or tools. You can manage your emails, schedule, and files all in one place, providing a unified workspace that reduces friction in your day-to-day tasks. Increased Accuracy and Productivity AI tools like ChatGPT provide insights that help you stay ahead of deadlines, maintain better organization, and get more done with less effort. You can delegate repetitive tasks to AI models and focus on high-priority projects that require your personal touch. Conclusion: ChatGPT's Role in the Future of Work and Productivity In 2025, ChatGPT is no longer just a conversation bot – it's a powerful productivity assistant. By integrating AI with email management, calendar organization, and cloud storage, ChatGPT is becoming a must-have tool for professionals, entrepreneurs, and anyone who needs to stay organized and on top of their tasks. With the added functionality of Deep Research and a unified workspace via Chatronix, ChatGPT is set to become the ultimate AI-powered productivity assistant. Whether you're managing email communications, tracking appointments, or retrieving important files, ChatGPT can save you time and keep you on track. Start using Chatronix today to streamline your productivity