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Carroll M: Clinical Intelligence in
Emergency Medicine Litigation

Clinical Intelligence in Emergency Medicine Litigation

Evaluating Triage, Diagnostic Decisions, Reassessment, Discharge, and Failure to Escalate

The Systemic, Social, and Structural Factors Behind Wrongful Convictions in Australia

Innocence Unveiled

Insights and Inspiration from Leading Lawyers Across North America

Building the Case: How Lawyers are Leading on Sustainability

How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.

The Deep Learning Revolution

A claim inventory is not yet evidence.
A mass tort portfolio can hold thousands of claimants and millions of pages of records. An intake statement repeated in a questionnaire, a fact sheet, and three later histories is still one statement. A pharmacy printout can stop months before the injury. An automated filter can merge two separate admissions into one. Strong claims sit unnoticed in weak cohorts while weak claims absorb time and money, and the defects surface at the worst moment: a deposition, a Daubert challenge, a bellwether pool, or a settlement audit.
The Mass Tort Evidence Portfolio shows plaintiff and defense teams how to turn a claim inventory into tested, claimant-level evidence. Michelle Carroll, Founder and Chief Clinical Strategist of Lexcura Summit, draws on more than four decades in healthcare to apply the seven pillars of the Lexcura Clinical Intelligence Model to mass tort work: Record Integrity, Baseline Profiling, Imaging Analysis, Timeline Reconstruction, Standard of Care Review, Regulatory and Compliance Overlay, and Causation Mapping. Every finding is stated as Established, Supported but disputed, Inferential, or Unresolved, and every file receives a clear decision label, so counsel knows what to advance, what to develop, and what to stop.
Inside, readers will find:How MDLs test claimant evidence: 28 U.S.C. 1407, new Rule 16.1, fact sheets, census orders, and Lone Pine orders
Exposure proof from dispensing records, implant logs, and industrial hygiene data
Baseline, imaging, and timeline analysis that separates pre-existing risk from new injury
What FDA adverse-event data, recalls, and labeling can and cannot prove
General and specific causation and expert reliability under Rule 702 as amended in 2023
Tiered intake, cohorts, outliers, bellwether selection, and settlement readiness
Quality assurance and responsible use of technology and AI
Four complete worked files: a drug claim with weak exposure proof, a hip implant with conflicting imaging, a toxic exposure with competing causes, and a strong claim hidden in a weak cohort
Review protocols, checklists, a glossary, and a table of authorities


Written for mass tort counsel, MDL teams, legal nurse consultants, clinical reviewers, claims administrators, and experts, this book replaces page-volume thinking with a visible, reproducible method that keeps uncertainty in view and gives counsel evidence that can withstand scrutiny.
Part of the Clinical Intelligence series by Michelle Carroll.

The Mass Tort Evidence Portfolio

Global Energy Law and Policy

Shifting Foundations for Investment Law

International Arbitration and the Energy Transition

Spotting Breakouts, Reversals, and Market Structure Changes for Safer High-Reward Trades

Forex Trendline Secrets

The author of the internationally successful book From Zero to Millionaire is back with a book on the best ways to invest in the stock market. Stop treating the stock market like a casino - discover the proven, stress-free strategy that builds lasting wealth. In The Art of Multiplying Your Money, financial journalist and bestselling author Nicolas Bérubé uses rigorous academic research and real-world historical data to dismantle the myth that successful investing requires picking winning stocks, timing the market, or chasing hot tech trends. Instead, he reveals how anyone can achieve exceptional long-term wealth, whether you have $100 or $100 million to invest. Across 17 engaging lessons, this book answers the most pressing questions investors face today. By the time you've finished this book, you'll know the answers to the following questions:- Will the stock market always keep rising? How do you survive if it crashes? - How much can you withdraw from your investments each year to live on? - Is the concentration of the U.S. market in a handful of tech stocks cause for concern? Crucially, the book focuses on the greatest risk of all: human psychology. By highlighting the cognitive biases that lead investors to panic and sabotage their own portfolios, Bérubé teaches readers how to automate their success, providing a comprehensive roadmap to financial independence. Whether you have $100 or $100 million, this is the ultimate guide to passive investing and behavioural finance so you can learn how to ignore the financial noise and let the global market multiply your money whilst you sleep.

17 lessons for success in the stock market

The Art of Multiplying Your Money

The Retirement Guardrail

Wie lassen sich Schutzkonzepte in Einrichtungen der Sozialen Arbeit, des Bildungssektors und des Gesundheitswesens erfolgreich entwickeln und umsetzen? Dieses Handbuch liefert gleichermaßen praxisnahe Hilfestellungen und Grundlagenwissen. Im ersten Band beleuchten renommierte Fachpersonen aus Wissenschaft und Praxis wichtige Rahmenbedingungen und liefern praxisnahe Hilfen, theoretische Grundlagen und Strategien für Verantwortliche vor Ort. Fachlich fundiert und konkret wird Prävention greifbar und nachhaltiger Schutz planbar gemacht.

Grundlagen und Rahmensetzung

Handbuch Schutzkonzepte in der praktischen Umsetzung. Band 1

This completely updated edition walks you through every step of the process--from valuation to securities laws to closing and successful integration. When done correctly and cautiously, your company's next merger or acquisition should be an exciting, profitable time. But these complex transactions carry significant risk, no matter how simple or appealing they may look on the outside.Complete with expert advice, case studies, checklists, and sample documents, this fully updated edition of Mergers and Acquisitions from A to Z is your complete guide to help you be prepared and take steps to eliminate rivals, extend territory, and diversify offerings.It includes: <ul><li>The latest trends and regulatory developments.</li><li>Best practices for structuring profitable deals.</li><li>The latest tax and ERISA developments</li><li>Roles and risks for boards of directors in M&amp;A.</li><li>Guidelines for keeping deals on track and managing post-closing challenges.</li><li>Valuable tools, checklists, and sample forms.</li></ul>It is absolutely vital for all involved in the deal to make sure they are guarding themselves against costly mistakes that have been the downfall for many leaders and organizations before them.

Mergers and Acquisitions from A to Z Fifth Edition

Security, Audit and Leadership Series

THE AI CRISIS IS FICTIONAL. THE BLUEPRINT IS REAL.By 2038, autonomous agents will manage trillions of dollars in global assets. But when speed outpaces governance, efficiency becomes fragility. Governing AI Risk blends a near-future thriller with a field manual for leaders who can't afford blind spots. Follow the fictional journey of Aaron Goldcrest, a successful venture capitalist, as his team confronts cascading failures in the agentic economy-and learn how the RIVER Charter(TM) standard helps global organizations stay resilient. Featuring All-Entity Risk Management (AERM(TM)), the Cognitive Handshake(TM) for auditable human-AI decisions, and DataCapital Protocol(TM) for blockchain-grade data lineage.

An Enterprise Resilience Standard

Governing AI Risk—The RIVER Charter

How most investing decisions differ from what the data say works—and how replacing myth with measurement can improve outcomes. The Accidental Venture Capitalist examines how early-stage investment decisions are actually made—and why so many of them diverge from what the evidence says should work. Written by an academic-turned-venture capitalist Scott Shane, the book sits at the intersection of rigorous research and lived investing experience. Its central premise is simple but uncomfortable: in venture capital, folklore and intuition dominate practice, even though decades of empirical research offer more reliable guidance on selection, pricing, portfolio construction, and incentives. The book follows the full arc of the venture process, from fund design and deal sourcing to valuation, syndication, follow-on investing, governance, and exits. Each chapter takes a familiar maxim—“bet on the jockey,” “do more diligence,” “double down on winners”—and tests it against large-sample academic evidence and real investment outcomes. Shane’s analysis is grounded in power-law economics, behavioral decision-making, and incentive alignment. And he is transparent about mistakes as well as successes, treating his own funds as a living laboratory rather than a victory lap. The book also offers practical tools—checklists, heuristics, simple models—that translate evidence into decisions investors can actually implement.

Why Evidence Beats Instinct in Early-Stage Investing

The Accidental Venture Capitalist

Clinical Intelligence in Emergency Medicine Litigation

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