Deep Learning for Precision Diagnosis & Surgery : Dawn of Artificial Intelligence in Orthopedics

Price: ₹319.00
(as of August 31, 2026 – Details)

[ad_1]
Artificial intelligence, smart applications, and virtual assistants are now revolutionizing every area of our lives, including healthcare delivery. This book introduces readers to the latest technological advances in the emerging field of augmented clinical care, machine learning for early diagnosis, and artificial intelligence-assisted precision surgery with orthopedics as a leading example. The applications of these techniques in orthopedic interventions offer many potential benefits, e.g., early diagnosis of elusive complications, precise templating and planning of surgery, systematic execution of the original plan with maximum accuracy, facilitating minimally invasive surgery and improving outcomes. This book is a valuable resource for all healthcare researchers, AI-based software developers and clinicians, on what is needed and what to expect to excel in the future of high-quality patient care. It also outlines why physicians must play a pivotal role in the development of these AI-based applications that will plainly define the future of personalized and cost-effective healthcare delivery for maximum patient safety and satisfaction. May the miracle you need be just around the corner.
Publisher ‏ : ‎ Notion Press (20 March 2020)
Language ‏ : ‎ English
Paperback ‏ : ‎ 96 pages
ISBN-10 ‏ : ‎ 1648056970
ISBN-13 ‏ : ‎ 978-1648056970
Item Weight ‏ : ‎ 1 kg 50 g
Dimensions ‏ : ‎ 12.7 x 0.64 x 20.32 cm
Country of Origin ‏ : ‎ India
Best Sellers Rank: #1,542,636 in Books (See Top 100 in Books) #110 in Medical Encyclopedias #1,182 in Orthopedics
Customer Reviews: 4.0 4.0 out of 5 stars 1 rating var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });
[ad_2]