AIMC Topic: Systematic Reviews as Topic

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ARTIFICIAL INTELLIGENCE MODELS SHOW POTENTIAL IN RECOGNIZING THE DENTAL IMPLANT TYPE, PREDICTING IMPLANT SUCCESS, AND OPTIMIZING IMPLANT DESIGN.

The journal of evidence-based dental practice
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Revilla-León M, Gómez-Polo M, Vyas S, Barmak BA, Galluci GO,Att W, Krishnamurthy VR. J. Artificial intelligence applications in implant dentistry: A systematic review. J Prosthet Dent 2021:(21);S0022-3913.

Radiologists with assistance of deep learning can achieve overall accuracy of benign-malignant differentiation of musculoskeletal tumors comparable with that of pre-surgical biopsies in the literature.

International journal of computer assisted radiology and surgery
PURPOSE: The purpose of this study was to assess if radiologists assisted by deep learning (DL) algorithms can achieve diagnostic accuracy comparable to that of pre-surgical biopsies in benign-malignant differentiation of musculoskeletal tumors (MST)...

Machine learning computational tools to assist the performance of systematic reviews: A mapping review.

BMC medical research methodology
BACKGROUND: Within evidence-based practice (EBP), systematic reviews (SR) are considered the highest level of evidence in that they summarize the best available research and describe the progress in a determined field. Due its methodology, SR require...

DEEP LEARNING ALGORITHMS HAVE HIGH ACCURACY FOR AUTOMATED LANDMARK DETECTION ON 2D LATERAL CEPHALOGRAMS.

The journal of evidence-based dental practice
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Deep learning for cephalometric landmark detection: systematic review and meta-analysis. Schwendicke F, Chaurasia A, Arsiwala L, Lee JH, Elhennawy K, Jost-Brinkmann PG, Demarco F, Krois J. Clin Oral Invest...

Developing EMR-based algorithms to Identify hospital adverse events for health system performance evaluation and improvement: Study protocol.

PloS one
BACKGROUND: Measurement of care quality and safety mainly relies on abstracted administrative data. However, it is well studied that administrative data-based adverse event (AE) detection methods are suboptimal due to lack of clinical information. El...

PICO entity extraction for preclinical animal literature.

Systematic reviews
BACKGROUND: Natural language processing could assist multiple tasks in systematic reviews to reduce workflow, including the extraction of PICO elements such as study populations, interventions, comparators and outcomes. The PICO framework provides a ...

Experiences of patients who had a stroke and rehabilitation professionals with upper limb rehabilitation robots: a qualitative systematic review protocol.

BMJ open
INTRODUCTION: Emerging evidence suggests that robotic devices for upper limb rehabilitation after a stroke may improve upper limb function. For robotic upper limb rehabilitation in stroke to be successful, patients' experiences and those of the rehab...

The current understanding of precision medicine and personalised medicine in selected research disciplines: study protocol of a systematic concept analysis.

BMJ open
INTRODUCTION: The terms 'precision medicine' and 'personalised medicine' have become key terms in health-related research and in science-related public communication. However, the application of these two concepts and their interpretation in various ...

Cost analysis and cost-effectiveness of open versus laparoscopic versus robot-assisted versus transanal total mesorectal excision in patients with rectal cancer: a protocol for a systematic review.

BMJ open
INTRODUCTION: Nowadays, most rectal tumours are treated open or minimally invasive, using laparoscopic, robot-assisted or transanal total mesorectal excision. However, insight into the total costs of these techniques is limited. Since all three techn...