{ "item_title" : "AI-Assisted Decision-Making in Emergency Surgery", "item_author" : [" Imen Ben Ismail "], "item_description" : "AI-Assisted Decision-Making in Emergency Surgery is a proposed comprehensive academic reference examining how artificial intelligence is transforming diagnosis, risk stratification, operative decision-making, and perioperative management across the full spectrum of emergency general surgery and trauma. The book bridges clinical surgery, emergency medicine, critical care, and clinical informatics, translating a rapidly expanding but fragmented body of AI literature into a single, evidence-graded, clinically actionable reference.The manuscript is structured in three parts: foundational AI concepts, disease-specific applications across the major emergency surgical conditions, and system-level implementation, comprising 33 chapters, each following a standardised, evidence-based template. The intended outcome is a text that a surgical resident can use to learn a topic from first principles, that a consultant can consult for a rapid evidence update, and that a researcher or health-system leader can use as a roadmap for AI adoption.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/6/63/042/313/6630423135_b.jpg", "price_data" : { "retail_price" : "101.00", "online_price" : "101.00", "our_price" : "101.00", "club_price" : "101.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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