• External validation of risk prediction platforms for pancreatic fistula after pancreatoduodenectomy using nomograms and artificial intelligence

• À±¼ÒÁ¤(Yoon So-Jeong) ±Ç¿ìÀÏ(Kwon Woo-Il) ÀÌ¿ÁÁÖ(Lee Ok-Joo) Á¤ÁöÇý(Jung Ji-Hye) ½Å¿ëÂù(Shin Yong-Chan) ÀÓâ¼·(Lim Chang-Sup) ±èÈ«¹ü(Kim Hong-Beom) ÀåÁø¿µ(Jang Jin-Young) ½Å»óÇö(Shin Sang-Hyun) ÇãÁø¼®(Heo Jin-Seok) ÇÑÀοõ(Han In-Woong)

• Annals of Surgical Treatment and Research  2022³â 102±Ç 3È£ 147~152

• Artificial Intelligence for Detection of Cardiovascular-Related Diseases from Wearable Devices: A Systematic Review and Meta-Analysis

• À̼Ҷ÷(Lee So-Lam) (Chu Yu-Seong) (Ryu Ji-Seung) ¹Ú¿µÁØ(Park Young-Jun) ¾ç¼¼Á¤(Yang Se-Jung) °í»ó¹é(Koh Sang-Baek)

• Yonsei Medical Journal  2022³â 63±Ç 0È£ 93~107

• À¥ ±â¹ÝÀÇ ÀΰøÁö´ÉÀ» ÀÌ¿ëÇÑ ±³Á¤ºÐ¼® ÇÁ·Î±×·¥ ¡°WebCeph¡±ÀÇ ÀÓ»óÈ°¿ë (¾ç¾Ç¼ö¼ú Áõ·Êº¸°í, ±³Á¤Áø´ÜºÎÅÍ Ä¡·áÆò°¡±îÁö)

• Clinical Utilization of Web based and Artificial Intelligence driven Orthodontic Analysis Program ¡°WebCeph¡± (Case report of orthognathic surgery, from orthodontic diagnosis to treatment evaluation)

• Àå¹Î¼®(Chang Min-Seok)

• ´ëÇÑÄ¡°úÀÇ»çÇùȸÁö  2022³â 60±Ç 3È£ 164~175

• Artificial Intelligence-Based Colorectal Polyp Histology Prediction by Using Narrow-Band Image-Magnifying Colonoscopy

• (Racz Istvan) (Horvath Andras) (Kranitz Noemi) (Kiss Gyongyi) (Regoczi Henriett) (Horvath Zoltan)

• Clinical Endoscopy  2022³â 55±Ç 1È£ 113~121

• Use of automated artificial intelligence to predict the need for orthodontic extractions

• (Del Real Alberto) (Del Real Octavio) (Sardina Sebastian) (Oyonarte Rodrigo)

• Korean Journal of Orthodontics  2022³â 52±Ç 2È£ 102~111

• È¥ÇÕÄ¡¿­°ú ¿µ±¸Ä¡¿­ ȯÀÚ¸¦ ´ë»óÀ¸·Î ÇÑ À¥ ±â¹Ý ÀΰøÁö´É µÎºÎ °èÃø ºÐ¼®¿¡¼­ÀÇ ºñ±³ °ËÁõ

• Comparative Validation of the Mixed and Permanent Dentition at Web-Based Artificial Intelligence Cephalometric Analysis

• ½Å¼±ÇÑ(Shin Sun-Hahn) ±èµ¿Çö(Kim Dong-Hyun)

• ´ëÇѼҾÆÄ¡°úÇÐȸÁö  2022³â 49±Ç 1È£ 85~94

• A Retrospective Clinical Evaluation of an Artificial Intelligence Screening Method for Early Detection of STEMI in the Emergency Department

• ±èµ¿¼º(Kim Dong-Sung) ȲÁöÀº(Hwang Ji-Eun) Á¶¿µÁø(Cho Young-Jin) Á¶Çü¿ø(Cho Hyoung-Won) ÀÌ¿øÀç(Lee Won-Jae) ÀÌÁöÇö(Lee Ji-Hyun) ¿ÀÀÏ¿µ(Oh Il-Young) ¹é¼ö¹Î(Baek Su-Min) ÀÌÀº°æ(Lee Eun-Kyoung) ±èÁßÈñ(Kim Joong-Hee)

• Journal of Korean Medical Science  2022³â 37±Ç 10È£ 81~81

• ÀΰøÁö´É ±â¹Ý ÀÓ»óÀÇÇÐ °áÁ¤ Áö¿ø ½Ã½ºÅÛ ÀÇ·á±â±âÀÇ ¼º´É ¹× ¾ÈÀü¼º °ËÁõÀ» À§ÇÑ °£ Á¾¾ç Ç¥ÁØ µ¥ÀÌÅͼ ±¸Ãà

• Construction of a Standard Dataset for Liver Tumors for Testing the Performance and Safety of Artificial Intelligence-Based Clinical Decision Support Systems

• ±è½Â¼·(Kim Seung-Seob) À̵¿È£(Lee Dong-Ho) À̹οì(Lee Min-Woo) ±è¼Ò¿¬(Kim So-Yeon) ½ÅÀç½Â(Shin Jae-Seung) ÃÖÁø¿µ(Choi Jin-Young) ÃÖº´¿í(Choi Byoung-Wook)

• ´ëÇÑ¿µ»óÀÇÇÐȸÁö  2021³â 82±Ç 5È£ 1196~1206

• À¯¹æÃÔ¿µ¼ú¿¡¼­ ÀΰøÁö´ÉÀÇ Àû¿ë: ¾Ë°í¸®Áò °³¹ß ¹× Æò°¡ °üÁ¡

• Applications of Artificial Intelligence in Mammography from a Development and Validation Perspective

• ±è±âȯ(Kim Ki-Hwan) ÀÌ»óÇù(Lee Sang-Hyup)

• ´ëÇÑ¿µ»óÀÇÇÐȸÁö  2021³â 82±Ç 1È£ 12~28

• Äڷγª19 ÈäºÎ ¿µ»ó¿¡¼­ ÀΰøÁö´ÉÀÇ È°¿ë

• Application of artificial intelligence in chest imaging for COVID-19

• ±èÀº¿µ(Kim Eun-Young) Á¤¸íÁø(Chung Myung-Jin)

• ´ëÇÑÀÇ»çÇùȸÁö  2021³â 64±Ç 10È£ 664~670

• ÀΰøÁö´ÉÀÇ ÀÇÇÐÀû È°¿ë¿¡ ´ëÇÑ °Ç°­º¸Çè Àû¿ë : ¿µ»óÀÇÇÐ °üÁ¡

• Health insurance coverage for artificial intelligence-based medical technologies: focus on radiology

• ¹Ú¼ºÈ£(Park Seong-Ho) ¹Úâ¹Î(Park Chang-Min) ÃÖÁØÀÏ(Choi Joon-Il)

• ´ëÇÑÀÇ»çÇùȸÁö  2021³â 64±Ç 10È£ 648~653

• ´ëµ¿¸ÆÆǸ·Ä¡È¯¼ú ÈÄ ¹ß»ýÇÑ Çª¸£Ã³ À¯»ç ¸Á¸·º´Áõ

• Purtscher-like Retinopathy after Aortic Valve Replacement Surgery

• À̽ÂÇö(Lee Seung-Hyeun) ±èÁöÅÃ(Kim Jee-Taek)

• ´ëÇѾȰúÇÐȸÁö  2021³â 62±Ç 3È£ 408~413

• Artificial Intelligence in Lower Gastrointestinal Endoscopy: The Current Status and Future Perspective

• (Milluzzo Sebastian Manuel) (Cesaro Paola) (Grazioli Leonardo Minelli) (Olivari Nicola) (Spada Cristiano)

• Clinical Endoscopy  2021³â 54±Ç 3È£ 329~339

• Æijë¶ó¸¶¹æ»ç¼±»çÁø»ó¿¡¼­ °ñ´Ù°øÁõÀÇ Æǵ¶¿¡¼­ ÀΰøÁö´ÉÀÇ ¹Î°¨¿µ¿ª ¿¬±¸

• Sensitive Area of Artificial Intelligence in Interpreting Osteoporosis on Panoramic Radiograph

• ÀÌ»ó¾Æ(Lee Sang-Ah) ¹Úº´ÁÖ(Park Byung-Ju) ±èÇü¼®(Kim Hyong-Suk) ½á¾ä ¾ÆµðÄ«¸®(Shyam Adhikari) ÀÌÀºÁÖ(Lee Eun-Joo) ÀÌÀç¼­(Lee Jae-Seo) °­º´Ã¶(Kang Byung-Cheol) À±¼÷ÀÚ(Yoon Suk-Ja)

• ´ëÇѱ¸°­¾Ç¾È¸éº´¸®ÇÐȸÁö  2021³â 45±Ç 2È£ 59~65

• Artificial intelligence in breast ultrasonography

• ±èÀçÀÏ(Kim Jae-Il) ±èÇýÁ¤(Kim Hye-Jung) ±èÂùÈ£(Kim Chan-Ho) ±è¿øÈ­(Kim Won-Hwa)

• Ultrasonography  2021³â 40±Ç 2È£ 183~190

• Artificial intelligence in musculoskeletal ultrasound imaging

• ½ÅÀ̶û(Shin Yi-Rang) ¾çÀç¹®(Yang Jae-Moon) ÀÌ¿µÇÑ(Lee Young-Han) ±è¼ºÁØ(Kim Sung-Jun)

• Ultrasonography  2021³â 40±Ç 1È£ 30~44

• ÀΰøÁö´ÉÀ» È°¿ëÇÑ °Ç°­°ü¸® ÁßÀç: ü°èÀû °íÂû

• Artificial Intelligence-based Healthcare Interventions: A Systematic Review

• ¹Ú°¡Àº(Park Ga-Eun) ÀÌÇØÁ¤(Lee Hae-Jung) À̹̼ø(Lee Mi-Soon)

• Korean Journal of Adult Nursing  2021³â 33±Ç 5È£ 427~447

• ÃéÀå´ãµµ Áúȯ¿¡¼­ Áø´Ü ÀΰøÁö´É ÀÀ¿ë

• Application of Artificial Intelligence in Diagnosis of Pancreaticobiliary Diseases

• ÀÌ°æÁÖ(Lee Kyong-Joo)

• ´ëÇÑÃé´ãµµÇÐȸÁö  2021³â 26±Ç 2È£ 116~119

• Fully Automatic Coronary Calcium Score Software Empowered by Artificial Intelligence Technology: Validation Study Using Three CT Cohorts

• ÀÌÁر¸(Lee June-Goo) ±èÈñ¼ö(Kim Hee-Soo) °­ÈñÁØ(Kang Hee-Jun) ±¸ÇöÁ¤(Koo Hyun-Jung) °­ÁØ¿ø(Kang Joon-Won) ±è¿µÇÐ(Kim Young-Hak) ¾çµ¿Çö(Yang Dong-Hyun)

• Korean Journal of Radiology  2021³â 22±Ç 11È£ 1764~1776

• Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology

• ȲÀÇÁø(Hwang Eui-Jin) ±¸Áø¸ð(Goo Jin-Mo) À±¼øÈ£(Yoon Soon-Ho) ¹é°æ¹Î(Beck Kyong-Min Sarah) ¼­Áعü(Seo Joon-Beom) ÃÖº´¿í(Choi Byoung-Wook) Á¤¸íÁø(Chung Myung-Jin) ¹Úâ¹Î(Park Chang-Min) Áø±¤³²(Jin Kwang-Nam) ÀÌ»ó¹Î(Lee Sang-Min)

• Korean Journal of Radiology  2021³â 22±Ç 11È£ 1743~1748

• Application of Artificial Intelligence to Cardiovascular Computed Tomography

• ¾çµ¿Çö(Yang Dong-Hyun)

• Korean Journal of Radiology  2021³â 22±Ç 10È£ 1597~1608

• Deep Learning-Based Artificial Intelligence for Mammography

• À±Á¤Çö(Yoon Jung-Hyun) ±èÀº°æ(Kim Eun-Kyung)

• Korean Journal of Radiology  2021³â 22±Ç 8È£ 1225~1239

• Automated Bone Age Assessment Using Artificial Intelligence: The Future of Bone Age Assessment

• À̺´´ë(Lee Byoung-Dai) À̹«¼÷(Lee Mu-Sook)

• Korean Journal of Radiology  2021³â 22±Ç 5È£ 792~800

• Potential role of artificial intelligence in craniofacial surgery

• ·ùÁ¤¿±(Ryu Jeong-Yeop) Á¤È£À±(Chung Ho-Yun) ÃÖ°­¿µ(Choi Kang-Young)

• Archives of Craniofacial Surgery  2021³â 22±Ç 5È£ 223~231

• Key Principles of Clinical Validation, Device Approval, and Insurance Coverage Decisions of Artificial Intelligence

• ¹Ú¼ºÈ£(Park Seong-Ho) ÃÖÀç¼ø(Choi Jae-Soon) º¯Á¤½Ä(Byeon Jeong-Sik)

• Korean Journal of Radiology  2021³â 22±Ç 3È£ 442~453

• Application of artificial intelligence in toxicopathology

• °­Áø¼®(Kang Jin-Seok)

• Journal of Biomedical and Translational Research  2021³â 22±Ç 1È£ 1~11

• ½Äµµ ¹× À§ ÁúȯÀÇ ÀΰøÁö´É Àû¿ë

• Artificial Intelligence in the Analysis of Upper Gastrointestinal Disorders

• ¹æâ¼®(Bang Chang-Seok)

• The Korean Journal of Helicobacter and Upper Gastrointestinal Research  2021³â 21±Ç 4È£ 300~310

• °ËÁø À¯¹æ ÃÊÀ½ÆÄÀÇ À§¾ç¼º º´º¯ Àú°¨À» À§ÇÑ Àΰø Áö´É ÄÄÇ»ÅÍ º¸Á¶Áø´Ü (S-Detect) Àû¿ëÀÇ ¸ðµ¨ ±¸ÃàÀ» À§ÇÑ ´Ù±â°ü ¿¬±¸

• Multicenter study for modeling artificial intelligence based computer-aided diagnosis (S-detect) in application of screening ultrasound detected lesion to reduce false positive biopsy

• ÀåÁ¤¹Î(Chang Jung-Min)

• ´ëÇÑÀ¯¹æ°ËÁøÀÇÇÐȸÁö  2021³â 18±Ç 1È£ 53~65

• Applications of artificial intelligence in urological setting: a hopeful path to improved care

• Àº¼ºÁ¾(Eun Sung-Jong) ±èÀÚ¿µ(Kim Ja-Young) ±è°èȯ(Kim Khae-Hawn)

• Journal of Exercise Rehabilitation  2021³â 17±Ç 5È£ 308~312

• Application of Artificial Intelligence in the Detection and Characterization of Colorectal Neoplasm

• ±è°æ¿Á(Kim Kyeong-Ok) ±èÀº¿µ(Kim Eun-Young)

• Gut and Liver  2021³â 15±Ç 3È£ 346~353

• Prospect of Artificial Intelligence Based on Electronic Medical Record

• À̼öÇö(Lee Sue-Hyun) ±èÇ强(Kim Hun-Sung)

• Journal of Lipid and Atherosclerosis  2021³â 10±Ç 3È£ 282~290

• Recent Trends of Artificial Intelligence and Machine Learning for Insomnia Research

• ±è½Â¼ö(Kim Seung-Soo)

• Chronobiology in Medicine  2021³â 3±Ç 1È£ 16~19

• ÀÇ·á ÀΰøÁö´É¿¡ ´ëÇÑ ´ëÇѹα¹ ¿µ»óÀÇÇаú Àü°øÀÇÀÇ ÀÎ½Ä Á¶»ç ¿¬±¸

• Survey of the Knowledge of Korean Radiology Residents on Medical Artificial Intelligence

• ÀÌÇöºó(Lee Hyeon-Bin) ¹Ú¼ºÈ£(Park Seong-Ho) ±è丮(Kim Cherry) ±è½Â°ü(Kim Seung-Kwan) Â÷ÀçÇü(Cha Jae-Hyung)

• ´ëÇÑ¿µ»óÀÇÇÐȸÁö  2020³â 81±Ç 6È£ 1397~1411

• ±Ë¾ç¼º ´ëÀå¿° ȯÀÚÀÇ Áúº´ È°¼ºµµ Æò°¡¸¦ À§ÇÑ ÀΰøÁö´ÉÀÇ ÀÓ»ó Àû¿ë

• Clinical Application of Artificial Intelligence to Evaluate Disease Activity in Patients with Ulcerative Colitis

• ÀÌÁØ(Lee Jun)

• ´ëÇѼÒÈ­±âÇÐȸÁö  2020³â 76±Ç 2È£ 97~98

• Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy

• (Choi Joon-Myeong) ½Å±â¿ø(Shin Kee-Won) Á¤ÁøÈÆ(Jung Jin-Hoon) ¹èÇöÁø(Bae Hyun-Jin) ±èµµÈÆ(Kim Do-Hoon) º¯Á¤½Ä(Byeon Jeong-Sik) ±è³²±¹(Kim Nam-Kug)

• Clinical Endoscopy  2020³â 53±Ç 2È£ 117~126

• º¯¼ö Áß¿äµµ¸¦ ÀÌ¿ëÇÑ ¼³¸í °¡´ÉÇÑ ÀΰøÁö´É ±â¹ýÀÇ ½Ã°¢È­¿¡ ´ëÇÑ °íÂû°ú º¸°ÇÁ¤º¸ ÀÚ·á¿¡ÀÇ ÀÀ¿ë

• Visualization of Explainable Artificial Intelligence Techniques Using Variable Importance with Its Applications to Health Information Data

• Á¤Çý¸°(Jeong Hye-Rin) ¹ÚÁ¤ÈÆ(Park Jung-Hoon) ÀÌ¿µ¼·(Lee Yung-Seop) ÀÓâ¿ø(Lim Chang-Won)

• º¸°ÇÁ¤º¸Åë°èÇÐȸÁö  2020³â 45±Ç 4È£ 317~334

• Application of artificial intelligence in identification of dental implants system: literature review

• ÀÓÈ£°æ(Lim Ho-Kyung) ±Ç¿¹Áø(Kwon Yeh-Jin) ÀÌÀǼ®(Lee Eui-Seok)

• Journal of Dental Implant Research  2020³â 39±Ç 4È£ 48~52

• Artificial Intelligence in Health Care: Current Applications and Issues

• ¹ÚÂù¿ì(Park Chan-Woo) ¼­¼º¿í(Seo Sung-Wook) °­³ëÀ»(Kang No-Eul) °í¹ü¼®(Ko Beom-Seok) ÃÖº´¿í(Choi Byung-Wook) ¹Úâ¹Î(Park Chang-Min) À嵿°æ(Chang Dong-Kyung) ±èÈÖ¿õ(Kim Hwi-Uoung) ±èÇöö(Kim Hyun-Chul) ÀÌÇö³ª(Lee Hyun-Na) ÀåÁøÈñ(Jang Jin-Hee) ¿¹Á¾Ã¶(Ye Jong-Chul) ÀüÁ¾È«(Jeon Jong-Hong) ¼­Áعü(Seo Joon-Beom) ±è±¤ÁØ(Kim Kwang-Joon) Á¤±Ôȯ(Jung Kyu-Hwan) ±è³²±¹(Kim Nam-Kug) ¹é½Â¿í(Paek Seung-Wook) ½Å¼ö¿ë(Shin Soo-Yong) À¯¼Ò¿µ(Yoo So-Young) ÃÖÀ±¼·(Choi Yoon-Sup) ±è¿µÁØ(Kim Young-Jun) À±ÇüÁø(Yoon Hyung-Jin)

• Journal of Korean Medical Science  2020³â 35±Ç 42È£ 379~379

• ÀΰøÁö´ÉÀ» Àû¿ëÇÑ ½Ã·Âµ¥ÀÌÅÍ ºÐ¼® : ±â°èÇнÀ ¸ðµ¨°£ ºñ±³ ¹× ÃÖÀû¸ðµ¨Á¦½Ã

• Analysis of Vision Acuity (V.A.) using Artificial Intelligence (A.I.): Comparison of Machine Learning Models and Proposition of an Optimized Model

• À¯Çü¼®(Ryu Hyeong-Suk) ·ùȸ¼º(Ryu Hoe-Sung) (Wallraven Christian)

• ´ëÇѽðúÇÐȸÁö  2020³â 22±Ç 3È£ 229~236