In "Notes from OHO Disability Hearings", Dr. Alexandre Todorov draws on his own 30 years' experience as a Medical Expert in over 4,000 OHO Disability cases to help attorneys and non-attorneys develop more compelling, stronger Social Security Office of Hearing Operations (OHO) disability cases for their clients. “Notes from OHO Disability Hearings” gives the necessary legal and medical knowledge so these representatives can successfully represent claimants at the hearings. "Notes from OHO Disability Hearings" first presents the rules and regulations governing the OHO hearing process. The second section is a guide to the Listing of Impairments which details the medical criteria applicants must meet to receive disability. Vignettes from actual cases act serve as concrete examples of the disability severity required to grant relief to a claimant and each concludes with an assessment of the case and the rationale of the judge’s decision. Based on Dr. Todorov's professional experience as a medical expert, it is his contention that better mining of medical records will nearly double the approval rate of disability applications. The goal of the book is to help representatives better analyze the medical record and better present the facts to the Administrative Law Judge (ALJ).

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data