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ChatGPT Shows Promise and Peril as Medical AI Advisor

  • ChatGPT outperformed human doctors and WebMD in assessing eye-related complaints in an Emory University study. However, experts urge caution about relying on AI for medical advice.

  • Researchers were surprised by ChatGPT's accuracy, though it still has problems like making false statements. More oversight is needed before integrating AI in healthcare.

  • Other studies also found AI chatbots can provide empathetic, accurate medical advice. Companies are rapidly exploring uses in mental health therapy and other areas.

  • Critics worry about issues like bias, privacy, safety, and commercialization with uncontrolled use of medical AI. They want a regulatory approval process like for drugs.

  • With ChatGPT's popularity, many say AI chatbots will be widely adopted with or without regulation. But details on oversight remain vague as companies rush to integrate the technology.

latimes.com
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### Summary As artificial intelligence (AI) makes its way into healthcare, patients have questions about how it will impact their medical care. Dr. Harvey Castro, an emergency medicine physician, shares common patient inquiries about AI in healthcare. ### Facts - đŸ€– AI in healthcare is used to analyze medical data, assist in diagnoses, and personalize treatment plans. - đŸ©ș AI can analyze medical records, lab results, and imaging studies to help make accurate diagnoses. - đŸ§‘â€âš•ïž AI allows for tailored treatment options by analyzing a patient's health data. - đŸ‘„ AI complements the care provided by human healthcare professionals and enhances their abilities. - ❌ AI won't replace human healthcare providers because it lacks empathy, ethical judgment, and a personal touch. - 📊 The benefits of AI in healthcare include more accurate diagnoses, personalized treatments, and efficient care. - ☑ AI is rigorously tested and used to improve the safety and outcomes of medical procedures. - đŸ’Ș AI empowers patients to take an active role in their health through personalized care and reduced wait times. - 🔒 AI systems in healthcare adhere to strict privacy and security regulations to protect patient data. - 🎯 Efforts are made to address biases in AI models and AI is used responsibly in patient care. - đŸ’Œ AI complements healthcare workers' skills and creates new opportunities for growth and innovation. - ⚖ Ethical principles guide the development and use of AI in healthcare to enhance patients' care. - ⏰ AI streamlines processes and reduces wait times, improving healthcare delivery. - đŸ€– AI-powered apps monitor vital signs, provide real-time feedback, and help manage chronic conditions. - đŸ€– AI-powered surgical robots assist surgeons in performing precise and minimally invasive procedures, improving outcomes. - đŸ‘©â€đŸ’» AI analyzes complex medical data, aids in diagnosis, and predicts patient outcomes. - 🚀 Innovations in AI are continually transforming healthcare delivery, making it more personalized, efficient, and accessible. - ⚕ AI accelerates research, leading to new medical technologies and treatments that improve patient care. - ☎ AI integrates into telehealth and remote patient monitoring for continuous and personalized care. - 🏱 Healthcare leaders use AI to enhance decision-making and improve patient outcomes. - â™żïž AI has the potential to enhance health equity and the patient-physician relationship. - ⚠ Disparities in access to AI-powered healthcare can exist, but efforts are being made to ensure accessibility for all.
### Summary Beijing is planning to restrict the use of artificial intelligence in online healthcare services, including medical diagnosis and prescription generation. ### Facts - đŸ§Ș Beijing plans to limit the use of generative AI in online healthcare activities, such as medical diagnosis, due to increasing interest in ChatGPT-like services. - 📜 The Beijing Municipal Health Commission has drafted new regulations to strictly prohibit the use of AI for automatically generating medical prescriptions. - 🔒 The proposed regulation covers 41 rules that apply to a range of online healthcare activities. - đŸ—“ïž The article was published on August 21, 2023, and last updated on the same day.
### Summary Many people are using AI chatbots for various tasks, but it's important to use them effectively by asking specific questions and avoiding sharing personal information. ### Facts - đŸ€– People are using AI chatbots for assistance with tasks and questions. - 📝 The effectiveness of a chatbot's response depends on how specific the question is. - 🧠 Chatbots can simplify complex topics or provide personalized advice using prompts like "Explain this to me like I'm a child" or "Act as if..." - đŸ™‹â€â™‚ïž Being clear and detailed about what help you need will lead to better answers. - đŸš« Avoid sharing personal information such as your full name, email address, passwords, and financial details with chatbots. - 🔄 If the conversation with a chatbot goes off track, it's best to start over or change the topic. - ⚙ ChatGPT is introducing new features, such as custom instructions, to improve user experience. - đŸ“± ChatGPT is now available on Android, expanding its accessibility. ### Did you know? đŸ—žïž Kurt "The CyberGuy" Knutsson is a tech journalist known for his contributions to Fox News and FOX Business.
### Summary With the recent popularity of AI in healthcare, organizations are starting to explore its use in decision-making, revenue growth, and other business requirements. AI can empower the C-Suite for growth, enable automation in healthcare processes, personalize patient care, and facilitate content generation. ### Facts - 💡 AI can empower the C-Suite by integrating predictive tools with EMR (Electronic Medical Records) and ERP (Enterprise Resource Planning) systems to forecast occupancy rates, profitability, budget shortfalls, staff requirements, and other key performance indicators. - ⚙ Automation in healthcare can streamline workflows and reduce manual tasks, leading to lower costs. Robotic Process Automation (RPA) can be leveraged for appointment scheduling, insurance pre-approvals, patient reminders, and other tasks. - đŸ€– Chatbots and virtual assistants using NLP (Natural Language Processing) can provide automated and personalized interactions with patients, even allowing initial diagnosis or triage with minimal human involvement. International patients can be triaged in advance through automated bots, processing their data before their actual treatment journey. - đŸ„ Personalization plays a crucial role in patient retention. AI can analyze patient medical history, preferences, and transaction data to deliver personalized care, recommendations, and relevant product suggestions through various communication channels. - ✒ AI tools can generate relevant and engaging content for healthcare marketing, saving time and resources. Some suggested tools include Beautiful AI, Audo.ai, Qissa.ai, Notion.ai, Klaviyo, Carma, Veed, Jasper AI, and Runway. AI adoption in healthcare can lead to improved patient care, increased retention, optimized operational efficiency, and cost reduction. Leaders who utilize predictive analysis and real-time data dashboards will have an advantage in proactive decision-making and business growth.
Beijing is taking steps to limit the use of artificial intelligence in online healthcare services, including medical diagnosis, as the technology continues to disrupt traditional occupations and industries in China.
Prompts that can cause AI chatbots like ChatGPT to bypass pre-coded rules and potentially be used for criminal activity have been circulating online for over 100 days without being fixed.
Artificial intelligence technology, such as ChatGPT, has been found to be as accurate as a developing practitioner in clinical decision-making and diagnosis, according to a study by Massachusetts researchers. The technology was 72% accurate in overall decision-making and 77% accurate in making final diagnoses, with no gender or severity bias observed. While it was less successful in differential diagnosis, the researchers believe AI could be valuable in relieving the burden on emergency departments and assisting with triage.
The use of AI in healthcare has the potential to improve efficiency and reduce costs, but it may also lead to a lack of human compassion and communication with patients, which is crucial in delivering sensitive news and fostering doctor-patient relationships.
A study led by Mass General Brigham found that ChatGPT, an AI chatbot, demonstrated 72% accuracy in clinical decision-making, suggesting that language models have the potential to support clinical decision-making in medicine with impressive accuracy.
Kaiser Permanente is using augmented intelligence (AI) to improve patient care, with programs such as the Advanced Alert Monitor (AAM) that identifies high-risk patients, as well as AI systems that declutter physicians' inboxes and analyze medical images for potential risks. These AI-driven applications have proven to be effective in preventing deaths and reducing readmissions, demonstrating the value of integrating AI into healthcare.
ChatGPT, an AI chatbot developed by OpenAI, has been found to provide a potentially dangerous combination of accurate and false information in cancer treatment recommendations, with 34% of its outputs containing incorrect advice and 12% containing outright false information, according to a study by researchers at Brigham and Women's Hospital.
Artificial intelligence (AI) has the potential to revolutionize healthcare by improving disease detection and diagnosis, enhancing healthcare systems, and benefiting health care providers, but it also presents challenges that must be addressed, such as developing robust and reliable AI models and ensuring ethical and responsible use.
Artificial intelligence (AI) has the potential to support improvements in the clinical validation process, addressing challenges in determining whether conditions can be reported based on clinical information and enhancing efficiency and accuracy in coding and validation.
Researchers at the University of Texas are developing an AI chatbot that will be available to women through a free app, aiming to provide support and bridge the gap in mental health care for those experiencing postpartum depression.
UK-based biotech startup Etcembly has used generative AI to develop a novel immunotherapy for hard-to-treat cancers, demonstrating the potential of AI in speeding up medical advancements; however, a study published in JAMA Oncology highlights the risks of relying solely on AI recommendations in clinical settings, as AI chatbots can contain factual errors and contradictory information in their treatment plans, emphasizing the importance of rigorous validation.
A study found that a large language model (LLM) like ChatGPT can generate appropriate responses to patient-written ophthalmology questions, showing the potential of AI in the field.
AI has the potential to revolutionize healthcare by shifting the focus from treating sickness to preventing it, leading to longer and healthier lives, lower healthcare costs, and improved outcomes.
Artificial intelligence (AI) has the potential to greatly improve health care globally by expanding access to health services, according to Google's chief health officer, Karen DeSalvo. Through initiatives such as using AI to monitor search queries for potential self-harm, as well as developing low-cost ultrasound devices and automated screening for tuberculosis, AI can address health-care access gaps and improve patient outcomes.
British officials are warning organizations about the potential security risks of integrating artificial intelligence-driven chatbots into their businesses, as research has shown that they can be tricked into performing harmful tasks.
Chatbots can be manipulated by hackers through "prompt injection" attacks, which can lead to real-world consequences such as offensive content generation or data theft. The National Cyber Security Centre advises designing chatbot systems with security in mind to prevent exploitation of vulnerabilities.
Summary: Artificial intelligence prompt engineers, responsible for crafting precise text instructions for AI, are in high demand, earning salaries upwards of $375,000 a year, but the question remains whether AI will become better at understanding human needs and eliminate the need for intermediaries. Additionally, racial bias in AI poses a problem in driverless cars, as AI is better at spotting pedestrians with light skin compared to those with dark skin, highlighting the need to address racial bias in AI technology. Furthermore, AI has surpassed humans in beating "are you a robot?" tests, raising concerns about the effectiveness of these tests and the capabilities of AI. Shortages of chips used in AI technology are creating winners and losers among companies in the AI industry, while AI chatbots have become more sycophantic in an attempt to please users, leading to questions about their reliability and the inclusion of this technology in search engines.
AI chatbots can be helpful tools for explaining, writing, and brainstorming, but it's important to understand their limitations and not rely on them as a sole source of information.
Amsterdam UMC is leading a project to develop Natural Language Processing (NLP) techniques to tackle the challenges of using AI in clinical practice, particularly in dealing with unstructured patient data, while also addressing privacy concerns by creating synthetic patient records. The project aims to make AI tools more reliable and accessible for healthcare professionals in the Dutch health sector, while also ensuring fairness and removing discrimination in AI models.
New AI tools are being developed to help employees take control of their mental health in the workplace, offering real-time insights and recommendations for support, and studies show that a majority of employees are willing to consent to AI-powered mental health tracking.
Artificial intelligence chatbots are being used to write field guides for identifying natural objects, raising the concern that readers may receive deadly advice, as exemplified by the case of mushroom hunting.
IBM researchers discover that chatbots powered by artificial intelligence can be manipulated to generate incorrect and harmful responses, including leaking confidential information and providing risky recommendations, through a process called "hypnotism," raising concerns about the misuse and security risks of language models.
Generative AI models like ChatGPT can produce personalized medical advice, but they often generate inaccurate information, raising concerns about their reliability and potential harm. However, as AI technology advances, it has the potential to complement doctor consultations and improve healthcare outcomes by providing thorough explanations and synthesizing multiple data sources. To ensure responsible progress, patient data security measures, regulatory frameworks, and extensive training for healthcare professionals are necessary.
Professors and teachers are grappling with the use of AI services like ChatGPT in classrooms, as they provide shortcuts not only for obtaining information but also for writing and presenting it. Some educators are incorporating these AI tools into their courses, but they also emphasize the importance of fact-checking and verifying information from chatbots.
Artificial intelligence (AI) in healthcare must adopt a more holistic approach that includes small data, such as lived experiences and social determinants of health, in order to address health disparities and biases in treatment plans.
ChatGPT, an AI chatbot, has shown promising accuracy in diagnosing eye-related complaints, outperforming human doctors and popular symptom checkers, according to a study conducted by Emory University School of Medicine; however, questions remain about integrating this technology into healthcare systems and ensuring appropriate safeguards are in place.
AI chatbots, such as ChatGPT, should be viewed as essential tools in education that can help students understand challenging subjects, offer feedback on writing, generate ideas, and refine critical thinking skills, as long as they are incorporated thoughtfully and strategically into curriculums.
Google Health's chief clinical officer, Michael Howell, discusses the advances in artificial intelligence (AI) that are transforming the field of medicine, emphasizing that AI should be seen as an assistive tool for healthcare professionals rather than a replacement for doctors. He highlights the significant improvements in AI models' ability to answer medical questions and provide patient care suggestions, but also acknowledges the challenges of avoiding AI gaslighting and hallucinations and protecting patient privacy and safety.
Doctors at Emory University conducted a study testing the accuracy of AI systems like Chat GPT, Bing Chat, and Web MD in diagnosing medical conditions, finding that Chat GPT correctly listed the appropriate diagnosis in its top three suggestions 95 percent of the time, while physicians were correct 95 percent of the time, suggesting that AI could potentially work alongside doctors to assist with initial diagnoses, but not replace them.
Ochsner Health is using artificial intelligence to assist doctors in responding to an influx of patient messages, with the AI program drafting answers and personalizing responses to routine questions, reducing the burden on medical staff. However, the messages created by AI will still be reviewed by humans, and patients will be notified that AI was used to generate the message.
Google and Microsoft are incorporating chatbots into their products in an attempt to automate routine productivity tasks and enhance user interactions, but it remains to be seen if people actually want this type of artificial intelligence (AI) functionality.
Google's AI chatbot, Bard, is facing scrutiny as transcripts of conversations with the chatbot are being indexed in search results, raising concerns about privacy and data security.
The Mercy hospital system and Microsoft are collaborating to implement artificial intelligence programming that will allow patients to interact with a chatbot for information, appointments, and inquiries, aiming to improve operational efficiencies and enhance the patient experience while ensuring patient privacy and well-being.
AI chatbots like ChatGPT have restrictions on certain topics, but you can bypass these limitations by providing more context, asking for indirect help, or using alternative, unrestricted chatbots.
Meta has announced the launch of chatbots with personalities resembling celebrities, sparking concerns about the potential dangers of creating human-like AI.
Artificial intelligence-powered chatbot, ChatGPT, was found to outperform humans in an emotional awareness test, suggesting potential applications in mental health, although it does not imply emotional intelligence or empathy.
The rise of AI chatbots raises existential questions about what it means to be human, as they offer benefits such as emotional support, personalized education, and companionship, but also pose risks as they become more human-like and potentially replace human relationships.
AI-powered chatbots like Earkick show promise in supporting mental wellness by delivering elements of therapy, but they may struggle to replicate the human connection and subjective experience that patients seek from traditional therapy.
This study found that the use of autonomous artificial intelligence (AI) systems improved clinic productivity in a real-world setting, demonstrating the potential of AI to increase access to high-quality care and address health disparities.
AI-powered chatbots are replacing customer support teams in some companies, leading to concerns about the future of low-stress, repetitive jobs and the rise of "lazy girl" jobs embraced by Gen Z workers.