I wish I could give this a 4.5. I absolutely loved it, but I also feel he is too optimistic. I am a super provacy advocate, and although I agree there is so much potential for great developments in this sphere to improve people's health, I'm not sure our concern for privacy (as a country) is at the level it needs to be at for me to trust my personal data to the companies and tech being discussed here. I loved the listing and overviews of specific projects that were taking place at the time (2019), and I legitimately want to look some of them up to see where they're at, if they're completed, merged with other companies and or projects, etc. I'd love an update to this book as it was a great overview.
informative inspiring fast-paced

linazanin's review

4.0
informative inspiring reflective slow-paced
informative medium-paced
challenging informative medium-paced


With the advent of the now ubiquitous Alexa, self driving cars and recently chatgpt, AI is no longer an inconceivable concept comprehended by techies only. AI,however, is playing catch-up in the healthcare industry, says author Eric and rightly so, as the notion of a non-human entity dealing with our health and existence is hard to digest yet. 

This book is a trove of information about the companies,many hitherto unheard of, with the assistance of massive amount of data, machine learning, and Natural Language Processing making significant strides in data processing, deciphering zillions of data in humanly impossible speeds in diagnosis, dermatology, cardiology, oncology, mental health, palliative care and many other fields one can possibly think of in and related to the medical industry,and their futuristic innovations that are poised to transform our health experiences for good.A few examples that I managed to jot down before I abandoned taking notes flabbergasted by the deluge of information are : 
◆Applications like Figure1, healthtap, humandx, Face2gene in diagnosis.
◆Alivecor Kardia - first fda approved atrial fibrillator.
◆Organizations promoting the use of AI - IBM Watson, Tempus labs , SOPHiA GENETICS etc.
◆Virtual assistance features for Mental health like 7 cups and talkspace.

The epilogue chapter is to drive home the idea that however AI centric we may become in the future, a synergy between AI and human is what is required to accomplish optimal results.

An interesting look at AI and medicine. A very optimistic overall view of this type if future which I didnt mind
challenging hopeful informative slow-paced

This is a wonderful and timely book. The era of artificial intelligence and machine learning and their roles and contributions to the practice and advancement of medicine is still at its very early stages. This book offers an extensive review of the most recent efforts in that regard. Eric Topol is a great writer, with a clear clinician’s insight into the potential effects of AI and machine learning in the medical practice. He discusses critical aspects including medical education, the patient-physician relationship, the practice of medicine in specific fields such as oncology and cardiology, as well as those specialties that have a big role of pattern recognition such as pathology, radiology, ophthalmology, and dermatology.

A more balanced and scientific view of the future of AI

Well rounded but still thorough book, explores interesting ideas but meanders a lot