Innosuisse’s Post

Check out this interesting call: 🔎 AI in life sciences with a focus on human health🔎 With the flagship program, systemic challenges are to be addressed, and this in an interdisciplinary manner. Ethical, social, and societal impacts that AI brings must be considered and addressed. Maybe this call fits your area of activity? 👉Join our webinar: on 29.08.2024 from 09.00 - 10.00 👉Visit our platform for partner search: https://lnkd.in/dwG-iQuA

HealthNext 2024 is less than one month away and the program is live now on our website. You can now view the complete lineup of speakers, fireside chats, panel discussions, and keynote addresses, covering topics like funding AI applications in clinical care and establishing trust and transparency in the age of AI. Don’t miss out on these important conversations, follow the link on our website to get tickets. #HealthNext24

A recent publication in the New England Journal of Medicine shed light on the complexities of AI in medicine. Kadija Ferryman, Ph.D., Maxine Mackintosh, Ph.D., and Marzyeh Ghassemi, Ph.D., argue for a paradigm shift in how we perceive clinical data. Rather than viewing biased data merely as a problem to be fixed, they suggest treating these data sets as informative artifacts. This perspective enables us to uncover underlying values, practices, and patterns of inequity in health care systems. By examining clinical data through this lens, we can gain valuable insights into the social and cultural dimensions of health care, ultimately guiding the development of more equitable AI tools. This work emphasizes the importance of interdisciplinary approaches in AI research, blending data science with social science to enhance the integrity and inclusivity of health care technologies. How can we leverage such insights to improve AI applications in health care, ensuring they serve all segments of society equitably? #AIinMedicine #HealthCareInnovation #DataEquity #DigitalHealth #NEJM https://lnkd.in/dEJ6Zsga

"Generative AI in Medicine: Potentials and Pitfalls" - looking forward hearing from Roxana Daneshjou what it can bring to #dermatology especially as far #access to care and #skin #misinformation. #generativeai

AI and Clinical Practice: Using AI to Increase Access to Reliable Health Information

Deloitte’s new Health Forward blog explores 4 areas where #GenAI could have the biggest impact on the life sciences industry. Read more.

Considering Biased Data as Informative Artifacts in AI-Assisted Health Care "The growing attention to bias within the AI and health care communities is a welcome development, especially as we continue to experience the ebbs and flows of the coronavirus disease 2019 pandemic. However, the harms of AI have often been imprecisely and narrowly considered as a data bias problem. Although there is value in innovating computational ways of altering data sets and engaging diverse participants in biomedical research, these cannot be the only solutions, and they should not rely on the implicit notion that past and current health data have little to offer AI research and development today." https://lnkd.in/e-z7e5eV

https://lnkd.in/eEYECR_5 Very fascinating and eye opening episode. This particular conversation was the perfect intersection of my studies in science & health and my career as a Data Professional. It's always a lively discussion discussing Healthcare, let alone the system that currently exists in the US, but Dr. Attia and Dr. Kohane bring up interesting ideas that could be game changing. #thedrive #ai #healthcare

Deloitte’s new Health Forward blog explores 4 areas where #GenAI could have the biggest impact on the life sciences industry. Read more.

Great read on AI in the healthcare and how it has been used.