AIMC Topic: Therapy, Computer-Assisted

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Artificial Intelligence-Assisted Speech Therapy for /ɹ/: A Single-Case Experimental Study.

American journal of speech-language pathology Aug 22, 2024
PURPOSE: This feasibility trial describes changes in rhotic production in residual speech sound disorder following ten 40-min sessions including artificial intelligence (AI)-assisted motor-based intervention with ChainingAI, a version of Speech Motor...
Humans Artificial Intelligence Female Young Adult Therapy, Computer-Assisted Phonetics Speech Production Measurement Speech Therapy Speech Sound Disorder Male Adolescent Child Treatment Outcome Feasibility Studies
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Machine Learning Applications in Solid Organ Transplantation and Related Complications.

Frontiers in immunology Sep 16, 2021
The complexity of transplant medicine pushes the boundaries of innate, human reasoning. From networks of immune modulators to dynamic pharmacokinetics to variable postoperative graft survival to equitable allocation of scarce organs, machine learning...
Humans Machine Learning Decision Support Techniques Clinical Decision-Making Risk Factors Risk Assessment Postoperative Complications Diagnosis, Computer-Assisted Organ Transplantation Time Factors Data Mining Graft Survival Therapy, Computer-Assisted Treatment Outcome Predictive Value of Tests
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A machine learning algorithm can optimize the day of trigger to improve in vitro fertilization outcomes.

Fertility and sterility Jul 10, 2021
OBJECTIVE: To determine whether a machine learning causal inference model can optimize trigger injection timing to maximize the yield of fertilized oocytes (2PNs) and total usable blastocysts for a given cohort of stimulated follicles.
Fertility Agents, Female Therapy, Computer-Assisted Sperm Injections, Intracytoplasmic Infertility Oocyte Retrieval Male Machine Learning Clinical Decision-Making Time Factors Pregnancy Treatment Outcome Embryo Transfer Female Decision Trees Humans Pregnancy Outcome Adult Blastocyst Fertility Ovulation Induction
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Augmenting the Transplant Team With Artificial Intelligence: Toward Meaningful AI Use in Solid Organ Transplant.

Frontiers in immunology Jun 11, 2021
Advances in systems immunology, such as new biomarkers, offer the potential for highly personalized immunosuppression regimens that could improve patient outcomes. In the future, integrating all of this information with other patient history data wil...
Decision Support Techniques Clinical Decision-Making Reproducibility of Results Organ Transplantation Data Mining Pattern Recognition, Automated Therapy, Computer-Assisted Humans Patient Care Team Meaningful Use Artificial Intelligence
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COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review.

Interdisciplinary sciences, computational life sciences Apr 22, 2021
The recent COVID-19 pandemic, which broke at the end of the year 2019 in Wuhan, China, has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 million deaths across the globe. To combat the growing pandemic on urgent ba...
Humans Artificial Intelligence COVID-19 Decision Support Techniques Drug Design Drug Discovery Severity of Illness Index Diagnosis, Computer-Assisted Antiviral Agents Prognosis Clinical Decision-Making Biomedical Research Computer-Aided Design COVID-19 Testing COVID-19 Drug Treatment Therapy, Computer-Assisted
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Effects of Robotic Therapy Associated With Noninvasive Brain Stimulation on Upper-Limb Rehabilitation After Stroke: Systematic Review and Meta-analysis of Randomized Clinical Trials.

Neurorehabilitation and neural repair Feb 1, 2021
BACKGROUND: Robot-assisted therapy and noninvasive brain stimulation (NIBS) are promising strategies for stroke rehabilitation.
Transcranial Magnetic Stimulation Therapy, Computer-Assisted Upper Extremity Stroke Rehabilitation Transcranial Direct Current Stimulation Humans Randomized Controlled Trials as Topic Robotics Stroke Outcome Assessment, Health Care
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Artificial intelligence for a personalized diagnosis and treatment of atrial fibrillation.

American journal of physiology. Heart and circulatory physiology Jan 29, 2021
Although atrial fibrillation (AF) is the most common cardiac arrhythmia, its early identification, diagnosis, and treatment is still challenging. Due to its heterogeneous mechanisms and risk factors, targeting an individualized treatment of AF demand...
Heart Rate Pattern Recognition, Automated Therapy, Computer-Assisted Heart Function Tests Diagnosis, Computer-Assisted Action Potentials Predictive Value of Tests Heart Conduction System Atrial Fibrillation Neural Networks, Computer Artificial Intelligence Machine Learning Clinical Decision-Making Humans
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Using Artificial Intelligence to Predict Change in Depression and Anxiety Symptoms in a Digital Intervention: Evidence from a Transdiagnostic Randomized Controlled Trial.

Psychiatry research Nov 29, 2020
While digital psychiatric interventions reduce treatment barriers, not all persons benefit from this type of treatment. Research is needed to preemptively identify who is likely to benefit from these digital treatments in order to redirect those peop...
Therapy, Computer-Assisted Depressive Disorder, Major Anxiety Disorders Follow-Up Studies Predictive Value of Tests Evidence-Based Medicine Young Adult Adult Male Middle Aged Humans Artificial Intelligence Female
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BMIVPOT, a Fully Automated Version of the Intravenous Pole: Simulation, Design, and Evaluation.

Journal of healthcare engineering Aug 10, 2020
Robotic intravenous poles are automated supportive instrument that needs to be triggered by patients to hold medications and needed supplies. Healthcare engineering of robotic intravenous poles is advancing in order to improve the quality of health s...
Infusions, Intravenous Reproducibility of Results Humans Automation Robotics Computer-Aided Design Equipment Design Artificial Intelligence Therapy, Computer-Assisted User-Computer Interface Cost-Benefit Analysis Patient Safety Systems Integration Image Processing, Computer-Assisted Computer Simulation Microcomputers Mobile Applications Equipment and Supplies, Hospital
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Machine Learning for Brain Stroke: A Review.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 28, 2020
Machine Learning (ML) delivers an accurate and quick prediction outcome and it has become a powerful tool in health settings, offering personalized clinical care for stroke patients. An application of ML and Deep Learning in health care is growing ho...
Prognosis Tomography, X-Ray Computed Stroke Support Vector Machine Humans Therapy, Computer-Assisted Severity of Illness Index Magnetic Resonance Imaging Machine Learning Diagnosis, Computer-Assisted Decision Support Techniques Predictive Value of Tests Deep Learning Brain Disability Evaluation
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