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Background: Language is a valuable source of clinical information in Alzheimer’s disease, as it declines concurrently with neurodegeneration. Consequently, speech and language data have been extensively studied in connection with its diagnosis. Objective: Firstly, to summarize the existing findings on the use of artificial intelligence, speech, and language processing to predict cognitive decline in the context of Alzheimer’s disease. Secondly, to detail current research procedures, highlight their limitations, and suggest strategies to address them. Methods: Systematic review of original research between 2000 and 2019, registered in PROSPERO (reference CRD42018116606). An interdisciplinary search covered six databases on engineering (ACM and IEEE), psychology (PsycINFO), medicine (PubMed and Embase), and Web of Science. Bibliographies of relevant papers were screened until December 2019. Results: From 3,654 search results, 51 articles were selected against the eligibility criteria. Four tables summarize their findings: study details (aim, population, interventions, comparisons, methods, and outcomes), data details (size, type, modalities, annotation, balance, availability, and language of study), methodology (pre-processing, feature generation, machine learning, evaluation, and results), and clinical applicability (research implications, clinical potential, risk of bias, and strengths/limitations). Conclusion: Promising results are reported across nearly all 51 studies, but very few have been implemented in clinical research or practice. The main limitations of the field are poor standardization, limited comparability of results, and a degree of disconnect between study aims and clinical applications. Active attempts to close these gaps will support translation of future research into clinical practice.

In this paper we describe the process of a multi-disciplinary medical team meeting (MDTM), its functions and operation in colocated and teleconference discussions. Our goal is to identify the elements and mechanics of operation that enhance or threaten the dependability of the MDTM as a ''system'' and propose technologies and measures to make this system more reliable. In particular, we assess the effect of adding teleconferencing to the MDTM, and identify strengths and vulnerabilities introduced into the system by the addition of teleconferencing technology. We show that, with respect to the systemÕs external task environment, rhythms of execution of pre-meeting and post-meeting activities are critical for MDTM success and that the extension of the MDTM to wider geographic locations with teleconferencing might disrupt such rhythms thereby posing potential threats to dependability. On the other hand, an analysis of vocalisation patterns demonstrates that despite difficulties related to coordination and awareness in video-mediated communication (evidenced by increased time spent in case discussion, longer turns, decreased turn frequency and near lack of informal exchanges) the overall case discussion structure is unaffected by the addition of teleconferencing technology into proceedings.

Background: The development of multidisciplinary team meetings (MDTMs) for radiology and pathology is a burgeoning area that increasingly impacts on work processes in both of these departments. The aim of this study was to examine work processes and quantify the time demands on radiologists and pathologists associated with MDTM practices at a large teaching hospital. The observations reported in this paper reflect a general trend affecting hospitals and our conclusions will have relevance for others implementing clinical practice guidelines.