"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
THE PHANTOM RESIDENT is not another AI hype book. It's a field guide from the trenches—written by a final-year medical student who used AI to survive the gauntlet and wants to show you how.
This book teaches you how to work with ChatGPT, Claude, and Google Gemini as your invisible partner—the one who handles the "science" (the overwhelming data) so you can focus on the "art" (actually caring for patients).
INSIDE YOU'LL DISCOVER:
• The 48-Hour Exam Rescue Plan (when you've procrastinated and panic is setting in)
• 40 Copy-Paste Prompts for clinical reasoning, documentation, and patient communication
• How to practice history-taking with AI patients at midnight (OSCE prep that actually works)
• The "Never" List—9 critical safety rules that prevent AI disasters
• Real examples from wards, exams, and emergency situations
The book also tackles the elephant in the room: AI hallucinations, patient privacy, and the ethical boundaries every medical professional must understand.
For 200 years, doctors resisted the stethoscope because they feared losing their "clinical touch." They were wrong. The stethoscope didn't replace doctors—it amplified their abilities.
AI is your 21st-century stethoscope. This book teaches you how to use it.
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Rakshit Raj Singh Deori
RAKSHIT RAJ SINGH DEORI is a final-year medical student and digital health innovator based in India. He served as National Officer for Information & Technology at AMSA India (2024-25) and is the founder of MedicoHive and WhatsDx, platforms dedicated to modernizing medical education.
Rakshit is obsessed with the intersection of healthcare and technology, believing that the doctor of the future will be a hybrid of human empathy and digital intelligence. When he isn't on rounds or coding, he's probably writing songs or trying to explain to his non-medic friends why he's perpetually exhausted.
