Thinking, fast and slow. 1st edition. Farrar, Straus and Giroux, New York City, NY

In two minds: dual-process accounts of reasoning.

Trends Cogn Sci. 7: 454-459Hughes T.M. Dossett L.A. Hawley S.T. et al.

Recognizing Heuristics and Bias in Clinical Decision-making.

Ann Surg. 271: 813-814

2301 Hepatic Adenoma Misdiagnosed as Biliary Colic.

Off J Am Coll Gastroenterol ACG. 114: S1285O’Sullivan E.D. Schofield S.J.

Cognitive bias in clinical medicine.

J R Coll Physicians Edinb. 48: 225-232Graber M.L. Franklin N. Gordon R.

Diagnostic error in internal medicine.

Arch Intern Med. 165: 1493-1499Blumenthal-Barby J.S. Krieger H.

Cognitive biases and heuristics in medical decision making: a critical review using a systematic search strategy.

Med Decis Mak Int J Soc Med Decis Mak. 35: 539-557Janssen S.J. Teunis T. Ring D. et al.

Cognitive Biases in Orthopaedic Surgery.

J Am Acad Orthop Surg. 29: 624-633Duignan S. Ryan A. O’Keeffe D. et al.

Prospective analysis of decision making during joint cardiology cardiothoracic conference in treatment of 107 consecutive children with congenital heart disease.

Pediatr Cardiol. 39: 1330-1338Wasif N. Smith C.A. Tamurian R.M. et al.

Influence of physician specialty on treatment recommendations in the multidisciplinary management of soft tissue sarcoma of the extremities.

JAMA Surg. 148: 632-639Kim S.P. Gross C.P. Nguyen P.L. et al.

Specialty bias in treatment recommendations and quality of life among radiation oncologists and urologists for localized prostate cancer.

Prostate Cancer Prostatic Dis. 17: 163-169Stinson Z.S. Davelaar C.M.F. Kiebzak G.M. et al.

treatment decisions in pediatric sports medicine: do personal and professional bias affect decision-making?.

Orthop J Sports Med. 9 ()

Decision-making in dermatologic surgery.

Australas J Dermatol. 62: e568-e571Shrank W.H. Rogstad T.L. Parekh N.

Waste in the US Health Care System: Estimated Costs and Potential for Savings.

JAMA. 322: 1501-1509Antonacci A.C. Dechario S.P. Antonacci C. et al.

Cognitive Bias Impact on Management of Postoperative Complications, Medical Error, and Standard of Care.

J Surg Res. 258: 47-53Antonacci A.C. Dechario S.P. Rindskopf D. et al.

Cognitive bias and severity of harm following surgery: Plan for workflow debiasing strategy.

Am J Surg. 222: 1172-1177Medamana J.L. Leone S. Vani A. et al.

A farewell to ards: papillary muscle rupture from infective endocarditis masquerading as covid pneumonia.

J Am Coll Cardiol. 77: 1985

Shortness of breath-a critical cause obfuscated by comorbidities.

J Hosp Med. 13 ()

A year of sleeping in the recliner: Not another case of heart failure.

J Am Coll Cardiol. 71https://doi.org/10.1016/S0735-1097(18)33067-5Al Balushi A. Cunningham C. Gowrishankar M. et al.

Hypertension masquerading as Pediatric Cardiomyopathy: an exercise in cognitive biases.

Cardiol Young. 31: 1036-1038Ukaigwe A. Espana-Schmidt C.

Anchoring heuristics in diagnosis.

J Gen Intern Med. 29 : S317Balakrishnan K. Arjmand E.M.

The impact of cognitive and implicit bias on patient safety and quality.

Otolaryngol Clin North Am. 52: 35-46

Just another case of endocarditis.

J Am Coll Cardiol. 73: 2893Berryman J. Hilton R. Handoyo K.

Pyoderma gangrenosum mimicking necrotizing fasciitis: A case of anchoring bias.

J Gen Intern Med. 32: S574Graber M.L. Berg D. Jerde W. et al.

Learning from tragedy: the Julia Berg story.

Diagn Berl Ger. 5: 257-266Sutter J. Rao A. Clark B.

A confounding diagnosis: cardiac angiosarcoma mistaken for sarcoidosis.

J Am Coll Cardiol. 75: 3412Riggs J. Steiner S. Oppenheimer B.

Anchoring to death: An unfortunate case of predecisional information distortion in the diagnosis of end-stage lung cancer.

Am J Respir Crit Care Med. 195 ()https://doi.org/10.1164/ajrccmconference.2017.C57Olenski A.R. Zimerman A. Coussens S. et al.

Behavioral heuristics in coronary-artery bypass graft surgery.

N Engl J Med. 382: 778-779

Laparoscopic bile duct injury: understanding the psychology and heuristics of the error.

ANZ J Surg. 78: 1109-1114Schuld J. Kollmar O. Seidel R. et al.

Estimate or calculate? How surgeons rate volumes and surfaces.

Langenbecks Arch Surg. 397: 763-769MacDermid E. Young C.J. Moug S.J. et al.

Heuristics and bias in rectal surgery.

Int J Colorectal Dis. 32: 1109-1115MacDermid E. Young C.J. Young J. et al.

Decision-making in rectal surgery.

Colorectal Dis Off J Assoc Coloproctol G B Irel. 16: 203-208

Cognition errors in the treatment course of patients with anastomotic failure after colorectal resection.

Patient Saf Surg. 13: 4Siskind S. Thompson D. Bolourani S. et al.

Cognitive Bias in Management of Cases Sustaining Postoperative Complication.

J Am Coll Surg. 231: S242Alsubaie H. Goldenberg M. Grantcharov T.

Quantifying recall bias in surgical safety: a need for a modern approach to morbidity and mortality reviews.

Can J Surg J Can Chir. 62: 39-43

The Role of Objective Outcomes in Surgery in Overcoming Cognitive Dissonance.

JAMA Facial Plast Surg. 18: 163-164

Vertebroplasty, cognitive dissonance, and evidence-based medicine: what do we do when the “evidence” says we are wrong?.

Cleve Clin J Med. 77: 8-11Moseley J.B. O’Malley K. Petersen N.J. et al.

A Controlled Trial of Arthroscopic Surgery for Osteoarthritis of the Knee.

N Engl J Med. 347: 81-88Homer J.J. Sheard C.E. Jones N.S.

Cognitive dissonance, the placebo effect and the evaluation of surgical results.

Clin Otolaryngol Allied Sci. 25: 195-199Braxton C.C. Robinson C.N. Awad S.S.

Escalation of Commitment in the Surgical ICU.

Crit Care Med. 45: e433-e436Gurich R.W. Cizik A.M. Punt S.E. et al.

Decision-making in orthopaedic oncology: does cognitive bias affect a virtual patient’s choice between limb salvage and amputation?.

Clin Orthop. 478: 506-514

A systematic review of the effects of positive versus negative framing on cancer treatment decision making.

Psychol Health. (): 1-26https://doi.org/10.1080/08870446.2021.2006197Dixon P.R. Grant R.C. Urbach D.R.

The impact of marketing language on patient preference for robot-assisted surgery.

Surg Innov. 22: 15-19Heilman R.L. Green E.P. Reddy K.S. et al.

Potential Impact of Risk and Loss Aversion on the Process of Accepting Kidneys for Transplantation.

Transplantation. 101: 1514-1517Pravettoni G. Gorini A. Bonanni B. et al.

The role of heuristics and biases in cancer-related decisions.

Ecancermedicalscience. 7: ed26Shalowitz D.I. Schorge J.O.

Suggestibility of oncologists’ clinical estimates.

JAMA Oncol. 1: 251-253

From mindless to mindful practice — cognitive bias and clinical decision making.

N Engl J Med. 368: 2445-2448Haynes A.B. Weiser T.G. Berry W.R. et al.

A surgical safety checklist to reduce morbidity and mortality in a global population.

N Engl J Med. 360: 491-499

The Checklist.

New Yorker. 83: 86-95

The importance of cognitive errors in diagnosis and strategies to minimize them.

Acad Med. 78: 775-780Zhao J. Forsythe R. Langerman A. et al.

The Value of the Surgeon Informatician.

J Surg Res. 252: 264-271Loftus T.J. Tighe P.J. Filiberto A.C. et al.

Artificial Intelligence and Surgical Decision-making.

JAMA Surg. 155: 148-158Corey K.M. Kashyap S. Lorenzi E. et al.

Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.

Plos Med. 15: e1002701Tariciotti L. Palmisciano P. Giordano M. et al.

Artificial intelligence-enhanced intraoperative neurosurgical workflow: state of the art and future perspectives.

J Neurosurg Sci. https://doi.org/10.23736/S0390-5616.21.05483-7

Neurosurgery and artificial intelligence.

AIMS Neurosci. 8: 477-495Suykens J. Eelbode T. Daenen J. et al.

AUTOMATED POLYP SIZE ESTIMATION WITH DEEP LEARNING REDUCES INTEROBSERVER VARIABILITY.

Gastrointest Endosc. 91: AB241-AB242

Application of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma: A review.

World J Gastroenterol. 26: 5617-5628Nelson C.A. Pérez-Chada L.M. Creadore A. et al.

Patient Perspectives on the Use of Artificial Intelligence for Skin Cancer Screening: A Qualitative Study.

JAMA Dermatol. 156: 501-512