33-3 Exploring the Impact of Artificial Intelligence on Care Delivery

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EDITORIAL

» The idea that machines can “think” and simulate human behavior has been around since the 1950s.

Artificial Intelligence (AI) is a broad term used to describe the application of computers to simulate intelligent behavior and critical thinking. The field of AI has continued to grow and evolve as the power and ability of computers has expanded. Today, AI is integrated into our daily routines by way of smart phones, computer assistants, and gaming systems among countless other things. Incorporating AI into medicine has the potential to support better and more precise care delivery, producing improved patient outcomes. This edition of FAQ will provide a wide overview of AI in podiatry and wound care, as we also examine the current status of AI in medicine, its utility in different disciplines and its future applications.

We appear to be on the verge of a sea change in the practice of medicine. Medical professionals have a need to understand and acclimate to these advances to support better healthcare delivery to the population served. It is my hope that you find the information in this issue of FAQ illuminating and enlightening. It has been my great pleasure to work with the contributing authors to bring this project to fruition.

Stay well,
Windy Cole, DPM, CWSP


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The ideas and opinions expressed in Foot and Ankle Quarterly are those of the authors and do not necessarily reflect those of the Editor or the Publisher. Publication of an advertisement or other product mentioned in Foot and Ankle Quarterly should not be construed as an endorsement of the product of the manufacturer’s claims. Readers are encouraged to contact the manufacturer with any questions about the features or limitations of the products mentioned. The Publisher does not assume any responsibility for any injury and/or damage to any persons or property arising out of or related to any use of the material contained in this periodical. The reader is advised to check the appropriate medical literature and the product information currently provided by the manufacturer of each device or of each drug to be administered to verify the dosage, the method and duration of administration, or contraindications. It is the responsibility of the treating physician or other healthcare professionals, relying on independent experience and knowledge of the patient, to determine drug dosages and the best treatment for the patient.

Disclosure

Data Trace Publishing Company Continuing Education Mission Statement

Data Trace Publishing Company is committed to providing high-quality print and internet-based enduring continuing education programs, including lectures, feature articles, and condensations and commentaries on current clinical podiatric topics and medical risk management topics which lead to improved delivery of patient care and help reduce the potential for medical errors. These programs are provided to meet the educational needs of the podiatric medical profession and thereby enhance the quality of patient care.

Program Objectives

Foot and Ankle Quarterly (FAQ) is a unique program designed to help today’s podiatric physician manage an ever-increasing flow of information. After completing the Foot and Ankle Quarterly, Volume 33 program, the learner should be better able to: develop and refine a perspective on current treatment recommendations, updates, and advances pertinent to podiatric practice; evaluate the implications of the learned information as it pertains to the diagnosis and treatment of podiatric disorders and societal issues and barriers, and; apply current trends, standards, and best practices into learner’s own practice.

Data Trace Publishing Company Continuing Education Accreditation Statement

Data Trace Publishing Company is approved by the Council on Podiatric Medical Education (CPME) as a provider of continuing education in podiatric medicine. Data Trace Publishing Company has approved this activity for a maximum of 6 continuing education contact hours (CECHs). Physicians should claim only the contact hours commensurate with the extent of their participation in the activity.

Estimated time to complete activity: 6 hours
Date of release: November 25, 2022
Expiration Date: November 25, 2025 (unless further validated and extended by provider). For amended dates of activity expiration, please see FAQ Activity Effective Dates at www.datatrace.com).

Commercial Interests

No commercial interest provided financial support for this continuing education activity.

CECH Note

Participants of Volume 33, Issue 3 will receive a maximum of 6 CECHs for a correctly-completed CME Answer Form. In order to qualify for CECHs, a score of 70% or more must be achieved on the written examination material. Any participant who does not pass the first time may take the exam one additional time (within 90 days of receipt of results). One retake test may be taken for a fee of $15. You will be responsible for notifying your state of the number of contact hours you have received.

Participants are required to complete a course evaluation for use in developing future issues and to meet the unique educational needs of podiatric physicians.

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The following authors have disclosed whether they or a member of their immediate family:

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Article Authors and Lecturers

  • Barbara Aung, DPM (n.)
  • Frank Aviles, PT  (n.)
  • Windy Cole, DPM (1. Data Trace Publishing Co.)
  • Cyaandi Dove, DPM (n.)
  • Robert J. Klein, DPM (n.)
  • Alton R. Johnson, Jr., SPM (n.)
  • Minghsun Liu, MD, DPM (n.)
  • Kanika Kochar, DPM (n.)
  • Eric J. Lullove, DPM (n.)
  • Valerie L. Marmolejo, DPM (n.)
  • Brennen O’Dell, DPM (n.)
  • Robert J. Snyder, DPM (1. Data Trace Publishing Co.)
  • Anthony Tickner, DPM (n.)

 FAQ Journal Planning Committee

  • Chrissy Wesolowski (n.)
  • Kimberly Collignon (n.)
  • Lauren Molander (n.)
  • Stephanie Wu, DPM, MSc (n.)

Foot and Ankle Quarterly
33-3 Contributors

Guest Editor

Windy Cole, DPM, CWSP
Director of Wound Care Research, Kent State University College of Podiatric Medicine, Independence, OH; National Director of Professional Development and Clinical Education, Woundtech; Board-Certified, American Board of Foot and Ankle Surgery and American Board of Wound Management

Contributors

Barbara Aung, DPM, CWS, DABPM, FAPWHc
Aung Foot Health Clinic, Tucson, AZ

Frank Aviles, PT
Wound Care Clinical Coordinator, Natchitoches Regional Medical Center, Natchitoches, LA

Cyaandi Dove, DPM
Advanced Foot and Ankle Center, Las Vegas, NV

Robert J. Klein, DPM, FACFAS, CWS, FFPM, RCPS (Glasgow)
Associate Professor of Surgery, University of South Carolina School of Medicine; Division Chair of Wound Care, Prisma Health, Upstate, Greenville SC; Medical Director, Vascular Health Alliance Wound Healing and Hyperbaric Oxygen Center, Greenville, SC; Certified Wound Specialist, American Board of Wound Management; Diplomate, American Board of Foot and Ankle Surgery; Fellow, American College of Foot and Ankle Surgeons

Alton R. Johnson, Jr., DPM, FACPM, FASPS, CWSP
Clinical Assistant Professor of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes-Podiatry, University of Michigan Medical School-Michigan Medicine, Ann Arbor, MI

Minghsun Liu, MD, PhD
National Senior Medical Director, Woundtech, Hollywood, FL; Assistant Clinical Professor, California University of Science and Medicine, Colton, CA

Kanika Kochhar, DPM
Clinical Podiatric Fellow, Wound Care and Diabetes Related Lower Extremity Complications Fellowship, Division of Metabolism, Endocrinology and Diabetes-Podiatry, The University of Michigan Medical School- Michigan Medicine, Ann Arbor, MI

Eric J. Lullove, DPM, CWSP, ABWH(c), DABLES

Valerie L. Marmolejo, DPM, MS, MWC
US Army Civilian Podiatrist, Madigan Army Medical Center (2004-2015); Board-Certified, Foot Surgery, American Board of Foot and Ankle Surgery; Master of Science, Clinical Research Management/Regulatory Science, Arizona State University; Certified Medical Writer; DuPont, WA

Brennen O’Dell, DPM
Clinical Podiatric Fellow, Wound Care and Diabetes Related Lower Extremity Complications Fellowship, Division of Metabolism, Endocrinology and Diabetes-Podiatry, University of Michigan Medical School, Ann Arbor, MI

Robert J. Snyder, DPM, MBA, MSc, CWSP, FFPM RCPS (Glasgow)
Dean, Professor and Director of Clinical Research, Barry University School of Podiatric Medicine, Miami, FL; Honorary Professor, Department of Dermatology and Wound Healing, University of Wales College of Medicine, Cardiff, UK; Certified Wound Specialist Physician, American Board of Wound Management; Diplomate, American Board of Foot and Ankle Surgery; Fellow, American College of Foot and Ankle Surgery; Past President, Association for the Advancement of Wound Care and American Board of Wound Management

Anthony Tickner, DPM, FRPS, FACCWS, FAPWCA, FAPWH, FADFS
Medical Director, Saint Vincent Hospital/RestorixHealth Wound Healing Center, Worcester, MA; Vice President of Board of Directors, Massachusetts Foot and Ankle Society


33-3 In This Issue:

  • FEATURE ARTICLE: Is Machine Learning Poised to Replace Current Prognostic Indicators for Predicting Wound Trajectory?
    Windy Cole, DPM, CWSP
  • CONDENSATIONS and COMMENTARIES
    • An Explainable Machine Learning Model for Predicting In-Hospital Amputation Rate of Patients with Diabetic Foot Ulcer
      Commentary by Alton R. Johnson, Jr., DPM, Brennen O’Dell, DPM and Kanika  Kochar, DPM
    • A Machine Learning Model for Early Detection of Diabetic Foot Using Thermogram Images
      Commentary by Frank Aviles, PT
    • Machine Learning and Smart Devices for Diabetes Management: Systematic Review
      Commentary by Anthony Tickner, DPM
    • Toward Machine-Learning-Based Decision Support in Diabetes Care: A Risk Stratification Study on Diabetic Foot Ulcer and Amputation
      Commentary by Robert J. Klein, DPM
    • A Machine Learning Approach to Predicting Diabetes Complications
      Commentary by Robert J. Snyder, DPM
    • Evaluation of Machine Learning Methodology for the Prediction of Healthcare Resource Utilization and Healthcare Costs in Patients with Critical Limb Ischemia: Is Preventative and Personalized Approach on the Horizon?
      Commentary by Minghsun Liu, MD, PhD
    • Utilization of Smartphone and Tablet Camera Photographs to Predict Healing of Diabetes-Related Foot Ulcers
      Commentary by Cyaandi Dove, DPM
    • Predication of Diabetic Sensorimotor Polyneuropathy Using Machine Learning Techniques
      Commentary by Valerie L. Marmolejo, DPM, MS, MWC
    • Prediction and Diagnosis of Venous Thromboembolism Using Artificial Intelligence Approaches: A Systematic Review and Meta-Analysis
      Commentary by Barbara Aung, DPM
    • Development of a Method for Clinical Evaluation of Artificial Intelligence-Based Digital Wound Assessment Tools
      Commentary by Eric J. Lullove, DPM
  • AUDIO LECTURE 1: The Role of Artificial Intelligence in Wound Care
    Windy Cole, DPM, CWSP
  • AUDIO LECTURE 2: Angiosome Concept: Paradigm Shift in Evaluating and Treating Vascular Disease
    Robert J. Snyder, DPM, CWSP
  • CONTINUING EDUCATION QUESTIONNAIRE