 |
8 books on AI for Medicine [PDF]
November 29, 2024 | 25 |
These books are covering the applications of artificial intelligence in medical practice, investigating areas like medical imaging analysis, drug discovery, predictive analytics, and patient care optimization. These resources touch advanced machine learning algorithms, data privacy and ethical considerations, and regulatory aspects unique to the healthcare industry.
1. AI and Blockchain in Healthcare
2023 by Bipin Kumar Rai, Gautam Kumar, Vipin Balyan
In a galaxy not so far away—well, actually, right here on Earth—a curious alliance of artificial intelligence and blockchain technology is plotting a grand heist on the stubborn inefficiencies of healthcare. Imagine, if you will, a reality where deep learning and cryptographic wizardry band together to revolutionize how we manage data, eliminate meddling intermediaries and occasionally baffle regulatory entities into submission. This book dives headfirst into the pandemonium, exploring how blockchain—a decentralized powerhouse that’s something like a cosmic ledger with trust issues—partners with AI to improve electronic health records, connect the unconnectable and generally attempt to make healthcare as streamlined as a really good cup of tea. With all this technological razzmatazz, who knows? We might even get a patient-centered system before the universe collapses in on itself. Fingers crossed.
Download PDF
2. AI in Clinical Medicine: A Practical Guide for Healthcare Professionals
2023 by Michael F. Byrne, Nasim Parsa, Alexandra T. Greenhill, Daljeet Chahal, Omer Ahmad, Ulas Bagci
"AI in Clinical Medicine: A Practical Guide for Healthcare Professionals" is a comprehensive exploration of the application of artificial intelligence in clinical practice. Divided into four sections, this book serves as a definitive reference on the evolving role of AI in medicine. Section 1 equips readers with essential terminology and outlines the framework for AI adoption in healthcare, emphasizing the critical need for robust AI training among physicians. Section 2 delves into foundational concepts and traces the historical development of AI. Section 3 examines specific medical disciplines where AI is currently applied, showcasing successful case studies and practical implementations. Section 4 forecasts future trends and emerging applications of AI in medicine. Throughout the book, readers will find detailed discussions on the integration of AI into clinical workflows, including considerations such as reimbursement, workforce implications and ethical concerns. Featuring learning objectives, key insights, clinical vignettes and examples of both successful AI deployments and potential risks, this guide is indispensable for healthcare professionals, educators, policymakers and anyone interested in the transformative impact of AI on healthcare delivery and patient outcomes.
Download PDF
3. Evolving Predictive Analytics in Healthcare: New AI Techniques for Real-time Interventions
2022 by Abhishek Kumar, Ashutosh Kumar Dubey, Surbhi Bhatia, Swarn Avinash Kumar, Dac-Nhuong Le
"This is the story of predictive analytics in healthcare, a field that, much like intergalactic hitchhiking, involves a lot of improbable things happening all at once, usually involving algorithms that can spot a worrisome lump or an existential crisis in a CT scan faster than you can say 'machine learning.' With the combined wizardry of AI, IoT (or the Internet of Things That Go Beep in the Night) and enough data to make your average galaxy brain feel a bit inadequate, this book boldly ventures into the curious territory of diagnosing diseases before they even think of showing up. It’s a tale of machines, humans and the occasional bout of mathematical genius coming together to, quite literally, save lives in real time—or at least try to, while figuring out how to deal with that annoying Wi-Fi connection in the Internet of 'Medical' Things."
Download PDF
4. Recent Advances in AI-enabled Automated Medical Diagnosis
2022 by Richard Jiang, Li Zhang, Hua-Liang Wei, Danny Crookes, Paul Chazot
In a galaxy not so far away—but definitely full of awkward waiting rooms and oddly cheerful posters about flu shots—a great upheaval is occurring in the cosmic practice of medicine. The wizards of artificial intelligence (who often wonder why their creations are so much better at diagnosing humans than they are at finding their car keys) have finally cracked the code on automated medical diagnosis. With deep learning algorithms that are basically the Hitchhiker’s Guide for doctors, this book chronicles a decade of astounding breakthroughs, as researchers merrily tackle everything from spotting sneaky diseases to making sure the robots don’t prescribe aspirin for a broken heart (literal or otherwise). Whether you’re a healthcare hero, a tech enthusiast, or just someone who enjoys knowing what all the fuss is about, this tome is your ticket to the cutting edge of a future that’s already here—complete with charts and jargon that might make Marvin the Paranoid Android feel positively upbeat.
Download PDF
5. AI in Healthcare: How Artificial Intelligence Is Changing IT Operations and Infrastructure Services
2021 by Robert Shimonski
In a universe not entirely unlike our own, where healthcare IT occasionally lurches along like a drunken robot with a bad sense of direction, AI in Healthcare by Robert Shimonski arrives as the improbably brilliant hitchhiker’s guide to artificial intelligence in the medical cosmos. It’s less about explaining how to reboot your hospital’s IT system when it’s feeling temperamental and more about harnessing the dazzling, slightly terrifying potential of AI to ensure said system doesn’t have a nervous breakdown during surgery. With a wink to real-time automation and a nudge to AIOps wizardry, this book demystifies the AI toolkit for managing clinical chaos, operational whatnots and cloud-powered everythingness. Whether you’re a beleaguered IT manager, an over-caffeinated engineer, or just someone wondering how on Earth the future of healthcare technology became so clever, you’ll find Shimonski’s prose as pragmatic as it is unexpectedly reassuring—like discovering the panic button actually works.
Download PDF
6. AI-First Healthcare
2021 by Kerrie L. Holley, Siupo Becker M.D.
In a universe not entirely unlike our own, where healthcare systems teeter on the brink of chaos and technology hums with the subtle menace of impending obsolescence, AI-First Healthcare arrives as a curious guide to the bewildered traveler of modern medicine. Penned by Kerrie Holley, an AI wizard of sorts and Siupo Becker, a doctor with the audacity to use AI as a scalpel for reality's messiest problems, this book weaves a tale of AI’s bold foray into the labyrinth of healthcare. Without making you decode a single line of cryptic algorithms or whisper sweet nothings to open-source frameworks, it unveils the astonishing possibilities of IoT, ambient computing and AI technologies so cunningly human-centered they might as well be asking for hugs. By the end, you’ll be equipped with the kind of roadmap that would make any business stakeholder or practitioner nod sagely and say, “Yes, this is the answer to life, the universe and the mess in healthcare.”
Download PDF
7. Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability
2020 by Arash Shaban-Nejad, Martin Michalowski, David L. Buckeridge
In a universe not entirely unlike our own, where humans occasionally manage to make sense of their data before it explodes in a shower of nonsensical charts, comes Explainable AI in Healthcare and Medicine. A book that dares to ask, "What if artificial intelligence actually explained itself, rather than skulking behind opaque algorithms like a teenager with a guilty conscience?" Drawing wisdom from a gathering of brainy types at the 2020 Health Intelligence Workshop (held under the benevolent auspices of the AAAI), this tome explores how AI might someday hold its own in a polite conversation about life, the universe and healthcare. Packed with insights into digital health, explainability and how to keep humanity from accidentally building a robot doctor with the bedside manner of a disgruntled Vogon, it’s a must-read for anyone keen on making AI as useful as it is comprehensible—or at least comprehensible enough not to scare the patients.
Download PDF
8. Healthcare and Artificial Intelligence
2020 by Bernard Nordlinger, Cédric Villani, Daniela Rus
In a universe where the stethoscope meets the supercomputer, Healthcare and Artificial Intelligence embarks on a whimsical journey through the improbable intersection of medicine, mathematics and machines that go "ping." With the flair of a hyper-intelligent algorithm wearing a bowler hat, it offers AI enthusiasts a nostalgic nod to where they’ve been and a cautiously optimistic wink at where they’re heading. Meanwhile, for mere mortals intrigued by the cosmic implications of robots diagnosing head colds, it’s a refreshingly sensible guide that avoids promising a future of doctors replaced by chatty holograms. Instead, it thoughtfully illuminates the vast, swirling panorama of possibility, without burying you in the technical equivalent of Vogon poetry.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. AI and Blockchain in Healthcare
2023 by Bipin Kumar Rai, Gautam Kumar, Vipin Balyan
In a galaxy not so far away—well, actually, right here on Earth—a curious alliance of artificial intelligence and blockchain technology is plotting a grand heist on the stubborn inefficiencies of healthcare. Imagine, if you will, a reality where deep learning and cryptographic wizardry band together to revolutionize how we manage data, eliminate meddling intermediaries and occasionally baffle regulatory entities into submission. This book dives headfirst into the pandemonium, exploring how blockchain—a decentralized powerhouse that’s something like a cosmic ledger with trust issues—partners with AI to improve electronic health records, connect the unconnectable and generally attempt to make healthcare as streamlined as a really good cup of tea. With all this technological razzmatazz, who knows? We might even get a patient-centered system before the universe collapses in on itself. Fingers crossed.
Download PDF
2. AI in Clinical Medicine: A Practical Guide for Healthcare Professionals
2023 by Michael F. Byrne, Nasim Parsa, Alexandra T. Greenhill, Daljeet Chahal, Omer Ahmad, Ulas Bagci
"AI in Clinical Medicine: A Practical Guide for Healthcare Professionals" is a comprehensive exploration of the application of artificial intelligence in clinical practice. Divided into four sections, this book serves as a definitive reference on the evolving role of AI in medicine. Section 1 equips readers with essential terminology and outlines the framework for AI adoption in healthcare, emphasizing the critical need for robust AI training among physicians. Section 2 delves into foundational concepts and traces the historical development of AI. Section 3 examines specific medical disciplines where AI is currently applied, showcasing successful case studies and practical implementations. Section 4 forecasts future trends and emerging applications of AI in medicine. Throughout the book, readers will find detailed discussions on the integration of AI into clinical workflows, including considerations such as reimbursement, workforce implications and ethical concerns. Featuring learning objectives, key insights, clinical vignettes and examples of both successful AI deployments and potential risks, this guide is indispensable for healthcare professionals, educators, policymakers and anyone interested in the transformative impact of AI on healthcare delivery and patient outcomes.
Download PDF
3. Evolving Predictive Analytics in Healthcare: New AI Techniques for Real-time Interventions
2022 by Abhishek Kumar, Ashutosh Kumar Dubey, Surbhi Bhatia, Swarn Avinash Kumar, Dac-Nhuong Le
"This is the story of predictive analytics in healthcare, a field that, much like intergalactic hitchhiking, involves a lot of improbable things happening all at once, usually involving algorithms that can spot a worrisome lump or an existential crisis in a CT scan faster than you can say 'machine learning.' With the combined wizardry of AI, IoT (or the Internet of Things That Go Beep in the Night) and enough data to make your average galaxy brain feel a bit inadequate, this book boldly ventures into the curious territory of diagnosing diseases before they even think of showing up. It’s a tale of machines, humans and the occasional bout of mathematical genius coming together to, quite literally, save lives in real time—or at least try to, while figuring out how to deal with that annoying Wi-Fi connection in the Internet of 'Medical' Things."
Download PDF
4. Recent Advances in AI-enabled Automated Medical Diagnosis
2022 by Richard Jiang, Li Zhang, Hua-Liang Wei, Danny Crookes, Paul Chazot
In a galaxy not so far away—but definitely full of awkward waiting rooms and oddly cheerful posters about flu shots—a great upheaval is occurring in the cosmic practice of medicine. The wizards of artificial intelligence (who often wonder why their creations are so much better at diagnosing humans than they are at finding their car keys) have finally cracked the code on automated medical diagnosis. With deep learning algorithms that are basically the Hitchhiker’s Guide for doctors, this book chronicles a decade of astounding breakthroughs, as researchers merrily tackle everything from spotting sneaky diseases to making sure the robots don’t prescribe aspirin for a broken heart (literal or otherwise). Whether you’re a healthcare hero, a tech enthusiast, or just someone who enjoys knowing what all the fuss is about, this tome is your ticket to the cutting edge of a future that’s already here—complete with charts and jargon that might make Marvin the Paranoid Android feel positively upbeat.
Download PDF
5. AI in Healthcare: How Artificial Intelligence Is Changing IT Operations and Infrastructure Services
2021 by Robert Shimonski
In a universe not entirely unlike our own, where healthcare IT occasionally lurches along like a drunken robot with a bad sense of direction, AI in Healthcare by Robert Shimonski arrives as the improbably brilliant hitchhiker’s guide to artificial intelligence in the medical cosmos. It’s less about explaining how to reboot your hospital’s IT system when it’s feeling temperamental and more about harnessing the dazzling, slightly terrifying potential of AI to ensure said system doesn’t have a nervous breakdown during surgery. With a wink to real-time automation and a nudge to AIOps wizardry, this book demystifies the AI toolkit for managing clinical chaos, operational whatnots and cloud-powered everythingness. Whether you’re a beleaguered IT manager, an over-caffeinated engineer, or just someone wondering how on Earth the future of healthcare technology became so clever, you’ll find Shimonski’s prose as pragmatic as it is unexpectedly reassuring—like discovering the panic button actually works.
Download PDF
6. AI-First Healthcare
2021 by Kerrie L. Holley, Siupo Becker M.D.
In a universe not entirely unlike our own, where healthcare systems teeter on the brink of chaos and technology hums with the subtle menace of impending obsolescence, AI-First Healthcare arrives as a curious guide to the bewildered traveler of modern medicine. Penned by Kerrie Holley, an AI wizard of sorts and Siupo Becker, a doctor with the audacity to use AI as a scalpel for reality's messiest problems, this book weaves a tale of AI’s bold foray into the labyrinth of healthcare. Without making you decode a single line of cryptic algorithms or whisper sweet nothings to open-source frameworks, it unveils the astonishing possibilities of IoT, ambient computing and AI technologies so cunningly human-centered they might as well be asking for hugs. By the end, you’ll be equipped with the kind of roadmap that would make any business stakeholder or practitioner nod sagely and say, “Yes, this is the answer to life, the universe and the mess in healthcare.”
Download PDF
7. Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability
2020 by Arash Shaban-Nejad, Martin Michalowski, David L. Buckeridge
In a universe not entirely unlike our own, where humans occasionally manage to make sense of their data before it explodes in a shower of nonsensical charts, comes Explainable AI in Healthcare and Medicine. A book that dares to ask, "What if artificial intelligence actually explained itself, rather than skulking behind opaque algorithms like a teenager with a guilty conscience?" Drawing wisdom from a gathering of brainy types at the 2020 Health Intelligence Workshop (held under the benevolent auspices of the AAAI), this tome explores how AI might someday hold its own in a polite conversation about life, the universe and healthcare. Packed with insights into digital health, explainability and how to keep humanity from accidentally building a robot doctor with the bedside manner of a disgruntled Vogon, it’s a must-read for anyone keen on making AI as useful as it is comprehensible—or at least comprehensible enough not to scare the patients.
Download PDF
8. Healthcare and Artificial Intelligence
2020 by Bernard Nordlinger, Cédric Villani, Daniela Rus
In a universe where the stethoscope meets the supercomputer, Healthcare and Artificial Intelligence embarks on a whimsical journey through the improbable intersection of medicine, mathematics and machines that go "ping." With the flair of a hyper-intelligent algorithm wearing a bowler hat, it offers AI enthusiasts a nostalgic nod to where they’ve been and a cautiously optimistic wink at where they’re heading. Meanwhile, for mere mortals intrigued by the cosmic implications of robots diagnosing head colds, it’s a refreshingly sensible guide that avoids promising a future of doctors replaced by chatty holograms. Instead, it thoughtfully illuminates the vast, swirling panorama of possibility, without burying you in the technical equivalent of Vogon poetry.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
