How can you stay up-to-date with AI healthcare research?
AI healthcare research is advancing rapidly, with new discoveries and applications emerging every day. But how can you keep track of the latest developments and trends in this field? How can you find relevant and reliable sources of information and insights? How can you learn from the experts and peers in the AI healthcare community? In this article, we will share some tips and resources that can help you stay up-to-date with AI healthcare research.
Staying up-to-date on AI healthcare research requires following reputable journals and websites that publish high-quality, peer-reviewed articles, reports, and reviews. For example, Artificial Intelligence in Medicine covers the theory and application of AI in medicine, healthcare, and biomedicine; JMIR Medical Informatics focuses on the use of AI and data science in health informatics, clinical decision support, and patient care; Healthcare: The Journal of Delivery Science and Innovation explores the intersection of AI, healthcare delivery, and innovation; MIT Technology Review offers news and trends in AI and healthcare; and AI in Healthcare provides insights on how AI is transforming healthcare and life sciences.
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Ali Zaidi
General Manager at Aafiya TPA
For staying upto date with AI in healthcare, one should attend seminars, workshops and conferences happening in digital transformation..In addition to that one should have conversations with CTO of the organisations who's main job is to bring an element of AI in their respective organisations which will help in getting new ideas and lastly to see the best practices happening in hospitals in which AI is helping doctors in making better diagnosis
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Arashdeep Kaur
Academician and Researcher
Health care Research in the field of AI is beneficial if implemented. Reporting the advancements in the journals or writeups cannot be fully considered as an advancement. We can say that we have moved one step ahead in the learning of Health care AI. For actual and/or practical advancements we should take inputs from health care providers and specialists. I believe there is a need to design such systems which provide details/ talk about the advancements in the specified field not only in health care but also in many other fields.
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Dr Djamila Amimer
Helping Businesses Unlock AI Potential | CEO & Founder | Top 10 Global Thought Leaders on AI, Predictive Analysis and Emerging Tech. | AI Speaker | AI Author| LinkedIn Top AI Voice
Other journals to mention: - Science Direct, Intelligent Medecine Journal. - European Journal of Radiology. - BMJ health and care informatics.
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Stephen Hnilica
AI Strategy, Prompt Engineering & Automation, AI & LLM Educator
I would add to keep up with the AI modalities that might be involved in your business or career. Work primarily with imaging? Keep an eye on AI focused on data visualization, image segmentation, image recognition, and image generation. Work primarily with text data like client records or research surveys? Keep an eye on large language models & other text focused AI. If you do that, you will see solutions being implemented in other fields months or years before they reach yours. There's a massive opportunity there to either be prepared, or be the one that brings it into your field. Either way you're going to create a first mover advantage.
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Ganges (G) N.
First and foremost, AI in healthcare needs top quality data set to properly design, build a Functional Model. Healthcare data are extremely complex with integrated contexts and not just individual meaning of à component. Talking to CTO is not going to help with these issues… Did we learn anything from IBM Watson?
Staying up-to-date with AI healthcare research can be done by subscribing to newsletters and podcasts that curate and summarize the most important topics and findings in this field. For example, the AI in Healthcare Newsletter delivers weekly updates on AI healthcare research, news, events, and opportunities; The AI Health Podcast features interviews with leading researchers, clinicians, and entrepreneurs in AI healthcare; Healthcare AI Today podcast discusses the current and future applications of AI in healthcare, as well as the challenges and opportunities; and the AI in Medicine Podcast explores the impact of AI on medicine from diagnosis and treatment to research and education.
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Ganes Kesari
2X Founder & Chief Decision Scientist | TEDx Speaker | Contributor to MIT SMR & Forbes | B-School Adjunct Prof. | C-Suite Advisor
Here are other podcasts to consider: - Digital Health Today Podcast - The Big Unlock: Healthcare Digital Transformation Podcast - Healthcare IT Today - HIMSSCast
Staying up-to-date with AI healthcare research can be achieved by joining online communities and events that connect you with other professionals, researchers, and enthusiasts in this field. You can benefit from their experiences, insights, and feedback, as well as share your own questions and ideas. For example, the AI in Healthcare LinkedIn Group is a platform for networking, discussion, and collaboration among AI healthcare professionals and researchers. AI Med is a global community and conference series that promotes the adoption of AI in medicine and healthcare. Additionally, Health 2.0 is a network and conference series that showcases the latest innovations and trends in digital health, including AI. Lastly, the AI for Healthcare Summit is an online event that brings together experts and practitioners from various domains of AI and healthcare.
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Radwa Wahdan
Radiology Specialist @ Wadi Elneel Hospital | MD, Diagnostic and interventional Radiology
Staying current with AI healthcare research involves following top journals, subscribing to academic newsletters, attending conferences/webinars, engaging in online communities, following key researchers on social media, using academic search engines, taking online courses, and exploring AI healthcare blogs/podcasts for insights.
Staying up-to-date with AI healthcare research can be done by taking online courses and reading books that teach the fundamentals and applications of AI in healthcare. Doing this can help you understand the field better and uncover new areas of interest and opportunity. For example, Stanford University offers a series of online courses called AI for Healthcare Specialization which covers the basics of AI, machine learning, natural language processing, computer vision, and deep learning. Another book is Artificial Intelligence for Medicine by Enrico Coiera, which provides a comprehensive overview of the principles and methods of AI for medicine as well as ethical and social implications. Lastly, Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again by Eric Topol explores how AI can improve healthcare quality, efficiency, and accessibility while restoring the human connection between patients and doctors.
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Ganes Kesari
2X Founder & Chief Decision Scientist | TEDx Speaker | Contributor to MIT SMR & Forbes | B-School Adjunct Prof. | C-Suite Advisor
Networking on sites such as LinkedIn is often perceived as a channel to sell stuff to people or scout for job opportunities. This is seriously shortsighted! From my personal experience for 5+ years on this social channel, I've seen that people often under-leverage it. Connect with people without asking them for help, learn from their posts, and exchange meaningful comments. This not just helps you stay up to date but creates a valuable connection that would voluntarily offer you help when you need it.
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