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2018

Questions for Artificial Intelligence in Health Care

JAMA Surgery

Artificial intelligence (AI) is gaining high visibility in the realm of health care innovation. Broadly defined, AI is a field of computer science that aims to mimic human intelligence with computer systems.1 This mimicry is accomplished through iterative, complex pattern matching, generally at a speed and scale that exceed human capability. Proponents suggest, often enthusiastically, that AI will revolutionize health care for patients and populations. However, key questions must be answered to translate its promise into action.

Thomas M. Maddox, MD, MsC, John S. Rumsfeld, MD, PhD, Philip R. O. Payne, PhD (2018) Questions for Artificial Intelligence in Health Care. JAMA Surg. 2018 doi:10.1001/jama.2018.18932

Clinical Implications and Challenges of Artificial Intelligence and Deep Learning

JAMA Surgery

Artificial intelligence (AI) and deep learning are entering the mainstream of clinical medicine. For example, in December 2016, Gulshan et al1 reported development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. An accompanying editorial by Wong and Bressler2 pointed out limits of the study, the need for further validation of the algorithm in different populations, and unresolved challenges (eg, incorporating the algorithm into clinical work flows and convincing clinicians and patients to “trust a ‘black box’”).

William W. Stead, MD (2018) Clinical Implications and Challenges of Artificial Intelligence and Deep Learning. JAMA Surg. 2018. doi:10.1001/jama.2018.11029

Use of Video Review to Investigate Technical Factors That May Be Associated With Delayed Gastric Emptying After Pancreaticoduodenectomy

JAMA Surgery

During video review of 192 robotic pancreaticoduodenectomies, the angle of the gastrojejunal anastomosis, gastrostomy size, and surgical device style of gastrojejunal anastomosis were technical variables that were associated with postoperative delayed gastric emptying.

Jae Pil Jung, MD, Mazen S. Zenati, MD, PhD, Mashaal Dhir, MD, Amer H. Zureikat, MD, Herbert J. Zeh, MD, Richard L. Simmons, MD, Melissa E. Hogg, MD,MS (2018) Use of Video Review to Investigate Technical Factors That May Be Associated With Delayed Gastric Emptying After Pancreaticoduodenectomy. JAMA Surg. 2018;153(10):918-927. doi:10.1001/jamasurg.2018.2089

Innovations in Resident Education | What Orthopaedic Surgeons Can Learn from Other Disciplines

The Journal of Bone and Joint Surgery, Incorporated

We educate residents to orchestrate the future delivery of medical and surgical care. However, the tenets and principles of this task vary, resulting in a wide distribution of physician skill, knowledge, and judgment by completion of training1. Surgical training is no exception, and the resultant skills of recent orthopaedic surgery residency graduates are comparatively variable2-4. The potential for uneven skill acquisition has pushed the Accreditation Council for Graduate Medical Education (ACGME), and subsequently the American Board of Orthopaedic Surgery (ABOS), to develop some general standards: the ACGME/ABOS Orthopaedic Surgery Residency Training Milestones5,6.

Kofi D. Agyeman, MD, Seth D. Dodds, MD, Jason S. Klein, MD, Michael G. Baraga, MD, Victor H. Hernandez, MD, and Sheila Conway, MD (2018) Innovation in Residence Education J Bone Joint Surg Am. 2018;100:e90(1-5) d http://dx.doi.org/10.2106/JBJS.17.00839

Prolonged Operative Duration is Associated with Complications: A Systematic Review and Meta-Analysis

ScienceDirect

Prolonged operative time is associated with an increase in the risk of complications. Given the adverse consequences of complications, decreased operative times should be a universal goal for surgeons, hospitals, and policy-makers. Future study is recommended on the evaluation of interventions targeted to reducing operating time.

lHang Cheng, MS; Jeffrey W. Clymer, PhD; Brian Po-Han Chen, ScM; Behnam Sadeghirad, PhD; Nicole C. Ferko, MS; Chris G. Cameron, PhD; PietHinoul, MD. (2018) Prolonged Operative Duration is Associated with Complications: A Systematic Review and Meta-Analysis https://doi.org/10.1016/j.jss.2018.03.022