Executive Director of Medical AI Labs, Tencent, Dr. Wei Fan shares his thoughts on AI in healthcare. Look out for his keynote speech at IHUK20: Building the next generation of smart health services - Tencent's digital therapeutics platform for chronic diseases.
With the London premiere of Intelligent Health edging closer, we interviewed the UK Research Lead at Google Health, Dr Alan Karthikesalingam, about his thoughts on healthcare innovation ahead of his headline talk: Overcoming challenges to bring digital transformation to healthcare - a physician’s perspective.
"MEDICAL AI is very different from AI, if somebody tells you that you can apply a black box model on AI for medical... I think that guy doesn't know what he's talking about" said Dr. Wei Fan, Executive Director of Medical AI Labs at Tencent.
With a PhD in Computer Science from Columbia University, infused with a passion for medicine, Wei was invited in 2017 to establish the Tencent Medical Artificial Intelligence Laboratory.
A White Paper by Cardiophoenix
Cardio vascular diseases are responsible for more deaths than all cancers combined, and the fight starts in Primary Care, where patients expect heart diseases to be first detected during patient screening.
The need for innovation in heart disease diagnostics in Primary Care
However, it is a little-known fact that the current State-of-the-Art medical device used in Primary Care, can only detect/diagnose about 44% of all common heart disease. This limitation makes ECG’s lack of overall effectiveness highly questionable as a first use diagnostic device for use in widespread patient screening for heart diseases in Primary Care.
A White Paper by Infoholic Research LLP
The term Artificial Intelligence conjures images of science fiction with advanced technologies used by governments and large corporations. The images are true to an extent in that it’s the large corporations which were the early adopters of the technology. However, the technology has been in use and is being utilized by various industries such as retail, and healthcare among others. For instance, whenever an online retailer suggests complementary products to your purchase, its AI at work. Within the medical industry AI has been making rapid inroads into various sectors. From predicting diseases to clinical outcomes and reading radiology examinations, AI is slowly but surely pervading medicine.
By Artur Olesch, digital health journalist, researcher, and blogger based in Germany (Berlin).
Patients with venereal diseases, mental disorders, or some skin problems are often afraid to visit a doctor. How can we help people with stigmatized, embarrassing diseases?
Last week I watched “Embarrassing bodies” online. In this popular 2007 documentary-style series, Dr Christian Jessen and Dr Dawn Harper help patients with neglected health problems. Of course it’s only a TV show, but it draws attention to the fact that embarrassing illnesses can leave many people feeling isolated. For these patients we need personalized diagnosis alternatives.
London, 9th September 2019
The World Health Organisation, Google, Microsoft, The United Nations, The FDA, CERN, The Novartis Foundation and the global AI and healthcare community will gather in Basel Switzerland this week.
The global Artificial Intelligence and healthcare community from over 68 countries worldwide will gather in Basel, the pharma hub of Switzerland next week to attend the Intelligent Health Summit (September 11th-12th), discuss how AI can be used to prevent and solve some of the world's greatest healthcare problems and improve the health of the human race.
Mumbai/London/Basel, August 12th, 2019
AI based Rapid on-site cytology solution for EBUS Bronchoscopy
AIRA MATRIX, HOLMUSK and CURO-HEALTH are pleased to announce partnership to develop an Artificial Intelligence based image analysis solution for Rapid On Site Evaluation (“ROSE”) of EBUS-TBNA samples in collaboration with Dr. Suman Paul, Specialist Registrar in Respiratory Medicine, Warrington and Halton Hospitals NHS Foundation Trust. First results will be presented at the Intelligent Health 2019 conference in Basel, Switzerland on September 11 and 12, 2019. This solution is meant to develop a device to provide rapid on-site cytology for bronchoscopy specimens to aid the tissue diagnosis of lung cancer.
It’s no secret that the opportunity in unearthing hidden insights in healthcare data is huge.
“The biosciences are swimming in data. The total amount of knowledge in healthcare doubles every 73 days, and it turns out that scientists can now create more information in a couple of weeks, than they could create in a lifetime only three years ago.”
Those are the words of Toby Cosgrove – former CEO of (the) Cleveland Clinic who, last year, joined Google as Executive Advisor to the Google Cloud Healthcare and Life Sciences team. His mission is to bring together healthcare practitioners and engineers to collaborate and realise the potential that healthcare data presents.
There is much excitement in the world of AI and healthcare. From the promise of mass analysis and management of patient health records, to advanced predictive diagnosis methods, it’s easy to be optimistic about the future of healthcare when you consider the potential power of well-distributed, ethically robust and technically advanced AI systems. And with the AI market looking to grow at an annual rate of 40% through to 2021, reaching $6.6 billion that year as opposed to only $600 million in 2014, the business opportunity in field is attracting a new wave of entrepreneurs, clinicians and scientists adopting AI systems into the heart of their healthcare innovations.