Artificial Intelligence for Healthcare: Machine Learning and Diagnostics
Rishabha Malviya
Summary The book Artificial Intelligence for Machine Learning and Diagnostics explores how AI and machine learning are reshaping healthcare, focusing on diagnosis, patient care, and treatment across ... The book Artificial Intelligence for Machine Learning and Diagnostics explores how AI and machine learning are reshaping healthcare, focusing on diagnosis, patient care, and treatment across various specialties. It covers AI applications in fields such as cardiovascular care, orthopedics, emergency medicine, ENT, and remote patient monitoring. Additionally, the book discusses AI’s transformative role in brain tumor surgery, dentistry, and elder care, showcasing its power to personalize therapies, predict outcomes, and enhance outpatient efficiency. Key chapters examine AI in pathology, specifically in image analysis and digital pathology, and its expanding influence in maternal and fetal health. This essential guide provides healthcare practitioners, researchers, clinical experts, and students with insights into AI’s practical uses and future potential, serving as a valuable reference for AI-driven diagnostic advancements and healthcare solutions.
Episode list
Chapter 1
Rishabha Malviya
36:25
mins
The field of AI is likely to make a lot of progress and grow over the next
Rishabha Malviya
39:42
mins
Linear classifiers possess the desirable qualities of interpretability and
Rishabha Malviya
35:29
mins
ML constitutes a subset of AI wherein models are trained to anticipate
Rishabha Malviya
49:05
mins
Bipolar hemiarthroplasty versus total hip arthroplasty in
Rishabha Malviya
37:07
mins
The performance evaluation was conducted using the feature importance
Rishabha Malviya
34:46
mins
Emerging patient monitoring algorithms possess the capability to analyze
Rishabha Malviya
48:42
mins
Shape and texture aware facial expression recognition using
Rishabha Malviya
36:24
mins
Development and validation of a deep learning system for
Rishabha Malviya
44:24
mins
The accomplishment was attained through white light as well as narrow-
Rishabha Malviya
39:31
mins
AI employs complex algorithms to combine different methods to analyze
Rishabha Malviya
34:32
mins
An increasing level of attention has been noted in the field of ML as it
Rishabha Malviya
49:51
mins
Computer-assisted versus manual planning for stereotactic brain
Rishabha Malviya
47:58
mins
Radiographs and pictures taken by intraoral scanners and cameras have a lot
Rishabha Malviya
29:28
mins
Three-dimensional semi-automated volumetric assessment of
Rishabha Malviya
47:44
mins
Researchers have found that health facilities can handle more patients when
Rishabha Malviya
44:06
mins
Chaotic genetic algorithm and Adaboost ensemble
Rishabha Malviya
38:51
mins
The acquisition of complete knowledge serves the objective of enhancing
Rishabha Malviya
44:15
mins
Suitability of healthcare robots for a dementia unit and
Rishabha Malviya
36:36
mins
In situations where conventional wisdom indicates that an oral glucose
Rishabha Malviya
43:53
mins
Despite the abundance of data-generating sources in the domain of
Rishabha Malviya
34:09
mins
Efforts are currently underway to develop effective CAP diagnosis tools
Rishabha Malviya
7:48
mins