Artificial Intelligence
Applications in Healthcare Delivery
Herausgeber: Reddy, Sandeep
Artificial Intelligence
Applications in Healthcare Delivery
Herausgeber: Reddy, Sandeep
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The re-discovery of the potential of Artificial Intelligence (AI) to improve healthcare delivery and patient outcomes has led to increasing application of AI techniques such as Deep Learning, Computer Vision, Natural Language Processing and Robotics in the healthcare domain.
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The re-discovery of the potential of Artificial Intelligence (AI) to improve healthcare delivery and patient outcomes has led to increasing application of AI techniques such as Deep Learning, Computer Vision, Natural Language Processing and Robotics in the healthcare domain.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 336
- Erscheinungstermin: 3. Dezember 2020
- Englisch
- Abmessung: 257mm x 178mm x 23mm
- Gewicht: 794g
- ISBN-13: 9780367321512
- ISBN-10: 0367321513
- Artikelnr.: 60006841
- Verlag: Taylor & Francis
- Seitenzahl: 336
- Erscheinungstermin: 3. Dezember 2020
- Englisch
- Abmessung: 257mm x 178mm x 23mm
- Gewicht: 794g
- ISBN-13: 9780367321512
- ISBN-10: 0367321513
- Artikelnr.: 60006841
Sandeep Reddy is currently an Associate Professor at the Deakin School of Medicine, Deakin University, Geelong, Australia. He is an academic and certified health informatician with medical and health informatic qualifications. In addition to his medical training and experience with health informatic projects, he has undergone artificial intelligence (AI) training through various sources. He is currently engaged in the design and development of AI models to diagnose and treat medical conditions. He is also advising several organizations about use of AI technology to address healthcare issues. Further, Sandeep has authored several AI and digital health related publications including a book chapter about application of AI in Healthcare.
Chapter 1 Algorithmic Medicine Chapter 2 Use of Artificial Intelligence in
the Screening and Treatment of Chronic Diseases Chapter 3 AI and Drug
Discovery Chapter 4 Mammographic screening and Breast Cancer Management -
Part 1 Chapter 5 Mammographic screening and Breast Cancer Management - Part
2 Chapter 6 Deep Learning for Drawing Insights from Patient Data for
Diagnosis and Treatment Chapter 7 A Simple and Replicable Framework for the
Implementation of Clinical Data Science Chapter 8 Clinical Artificial
Intelligence - technology application or change management? Chapter 9
Impacting perioperative quality and patient safety using Artificial
Intelligence Chapter 10 Application of an Intelligent Stochastic
Optimization Non-Linear Model Chapter 11 Audit of Artificial Intelligence
Algorithms and its Impact in Relieving Shortage of Specialist Doctors
Chapter 12 Knowledge Management in a Learning Health System Chapter 13
Transfer learning to enhance amenorrhea status prediction in cancer and
fertility data with missing values Chapter 14 AMD Severity Prediction and
Explainability Using Image Registration and Deep Embedded Clustering
Chapter 15 Application of Artificial Intelligence in Thyroidology Chapter
16 Use of Artificial Intelligence in Sepsis Detection and Management
Chapter 17 Transforming Clinical Trials with Artificial Intelligence
Chapter 18 An Industry Review of Neuromorphic Chips Chapter 19 Artificial
Empathy - An Artificial Intelligence Challenge
the Screening and Treatment of Chronic Diseases Chapter 3 AI and Drug
Discovery Chapter 4 Mammographic screening and Breast Cancer Management -
Part 1 Chapter 5 Mammographic screening and Breast Cancer Management - Part
2 Chapter 6 Deep Learning for Drawing Insights from Patient Data for
Diagnosis and Treatment Chapter 7 A Simple and Replicable Framework for the
Implementation of Clinical Data Science Chapter 8 Clinical Artificial
Intelligence - technology application or change management? Chapter 9
Impacting perioperative quality and patient safety using Artificial
Intelligence Chapter 10 Application of an Intelligent Stochastic
Optimization Non-Linear Model Chapter 11 Audit of Artificial Intelligence
Algorithms and its Impact in Relieving Shortage of Specialist Doctors
Chapter 12 Knowledge Management in a Learning Health System Chapter 13
Transfer learning to enhance amenorrhea status prediction in cancer and
fertility data with missing values Chapter 14 AMD Severity Prediction and
Explainability Using Image Registration and Deep Embedded Clustering
Chapter 15 Application of Artificial Intelligence in Thyroidology Chapter
16 Use of Artificial Intelligence in Sepsis Detection and Management
Chapter 17 Transforming Clinical Trials with Artificial Intelligence
Chapter 18 An Industry Review of Neuromorphic Chips Chapter 19 Artificial
Empathy - An Artificial Intelligence Challenge
Chapter 1 Algorithmic Medicine Chapter 2 Use of Artificial Intelligence in
the Screening and Treatment of Chronic Diseases Chapter 3 AI and Drug
Discovery Chapter 4 Mammographic screening and Breast Cancer Management -
Part 1 Chapter 5 Mammographic screening and Breast Cancer Management - Part
2 Chapter 6 Deep Learning for Drawing Insights from Patient Data for
Diagnosis and Treatment Chapter 7 A Simple and Replicable Framework for the
Implementation of Clinical Data Science Chapter 8 Clinical Artificial
Intelligence - technology application or change management? Chapter 9
Impacting perioperative quality and patient safety using Artificial
Intelligence Chapter 10 Application of an Intelligent Stochastic
Optimization Non-Linear Model Chapter 11 Audit of Artificial Intelligence
Algorithms and its Impact in Relieving Shortage of Specialist Doctors
Chapter 12 Knowledge Management in a Learning Health System Chapter 13
Transfer learning to enhance amenorrhea status prediction in cancer and
fertility data with missing values Chapter 14 AMD Severity Prediction and
Explainability Using Image Registration and Deep Embedded Clustering
Chapter 15 Application of Artificial Intelligence in Thyroidology Chapter
16 Use of Artificial Intelligence in Sepsis Detection and Management
Chapter 17 Transforming Clinical Trials with Artificial Intelligence
Chapter 18 An Industry Review of Neuromorphic Chips Chapter 19 Artificial
Empathy - An Artificial Intelligence Challenge
the Screening and Treatment of Chronic Diseases Chapter 3 AI and Drug
Discovery Chapter 4 Mammographic screening and Breast Cancer Management -
Part 1 Chapter 5 Mammographic screening and Breast Cancer Management - Part
2 Chapter 6 Deep Learning for Drawing Insights from Patient Data for
Diagnosis and Treatment Chapter 7 A Simple and Replicable Framework for the
Implementation of Clinical Data Science Chapter 8 Clinical Artificial
Intelligence - technology application or change management? Chapter 9
Impacting perioperative quality and patient safety using Artificial
Intelligence Chapter 10 Application of an Intelligent Stochastic
Optimization Non-Linear Model Chapter 11 Audit of Artificial Intelligence
Algorithms and its Impact in Relieving Shortage of Specialist Doctors
Chapter 12 Knowledge Management in a Learning Health System Chapter 13
Transfer learning to enhance amenorrhea status prediction in cancer and
fertility data with missing values Chapter 14 AMD Severity Prediction and
Explainability Using Image Registration and Deep Embedded Clustering
Chapter 15 Application of Artificial Intelligence in Thyroidology Chapter
16 Use of Artificial Intelligence in Sepsis Detection and Management
Chapter 17 Transforming Clinical Trials with Artificial Intelligence
Chapter 18 An Industry Review of Neuromorphic Chips Chapter 19 Artificial
Empathy - An Artificial Intelligence Challenge