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SpotCheck: A Skin Cancer Diagnostic Accuracy Study Comparing Teledermoscopy with and without Electrical Impedance Spectroscopy to In-Person Dermatologist Evaluation of Patient-Identified Lesions Concerning them for Skin Cancer
Ingrassia, Jenne P; Bajaj, Shirin; Kolla, Avani; Li, Vivienne; Shah, Payal; Gulati, Nicholas; Criscito, Maressa C; Xing, Yiping; Lopez, Adriana; Tran, Duy C; Ramachandran, Vignesh; Kakpovbia, Efe; Meehan, Shane; Shao, Yongzhao; Lo Sicco, Kristen; Milam, Emily C; Bieber, Amy K; Levine, Amanda; Liebman, Tracey N; Stein, Jennifer A; Polsky, David
PMID: 39528165
ISSN: 1097-6787
CID: 5752722
Venture investment in medical artificial intelligence amidst technological milestones and global shifts: 2013"“2023
Jairath, Neil K.; Ramachandran, Vignesh; Orlow, Seth J.
The integration of artificial intelligence (AI) in healthcare, known herein as Medical AI, has seen a remarkable increase in attention over the last few years. This study aims to provide a comprehensive analysis of the trends in venture funding in the medical AI sector in comparison to venture funding in healthcare and AI as a whole over the past decade, using data from the Pitchbook financial database, and its implications for the future of healthcare quality and delivery. An extensive review of venture investments in healthcare, AI, and medical AI (the overlap between healthcare and AI) sectors was conducted for a 10-year period from October 7, 2013 to October 6, 2023. The study used Pitchbook"™s database to catalogue deals across various stages, round numbers, and series, inclusive of all ownership models and geographic locations. The analysis focused on completed transactions, extracting descriptive statistics for deal flow, capital flow, and post-funding valuations while analyzing trends. The study found that the medical AI sector experienced a higher year-over-year growth in deal volume (P=0.01 compared to healthcare, P=0.08 compared to AI) and capital flow (P=0.01 compared to healthcare and P=0.03 compared to AI) over this time period, with all sectors witnessing a sharp stimulus during the coronavirus disease 2019 (COVID-19) stimulus period, alongside marked increases at the time of introduction of seminal AI technologies. This was followed by marked drawdowns with the onset of high inflation and high interest rates. Early-stage funding was dominant in medical AI, indicating a market leaning towards emerging technologies. Despite a decrease in total deal volume in recent years, there was a steady increase in median deal sizes and valuations, highlighting the sector"™s resilience and perceived value. The findings suggest that medical AI is a rapidly growing sector with significant investor interest, particularly in early-stage ventures. The findings align with the early stages of a valuation bubble, though the sector thus far has shown resilience and value growth despite broader economic fluctuations and reduced deal volume, indicating a selective yet robust investment environment.
SCOPUS:85203387174
ISSN: 2617-2496
CID: 5714782
General dermatology and dermatology in primary health care
Buontempo, Michael G; Ramachandran, Vignesh; Freedman, Jeremy; Meehan, Shane A; Lo Sicco, Kristen; Saitta, Peter A
PMID: 38504473
ISSN: 1365-2230
CID: 5640482
Eosinophilic Pustular Folliculitis in an HIV-Positive 63-Year-Old Male
Sikora, Michelle; Buontempo, Michael G; Ramachandran, Vignesh; Knutsen, Dorothy A; Meehan, Shane A; Hejazi, Emily Z; Caplan, Avrom S; Lo Sicco, Kristen I; Tattersall, Ian W
PMID: 38588935
ISSN: 1555-7162
CID: 5657272
Leveraging OpenAI's Advanced Data Analysis Tool in Dermatology: Opportunities and Challenges
Jairath, Neil K; Qiblawi, Sultan; Jeha, George M; Pahalyants, Vartan; Jairath, Ruple; Cheraghlou, Shayan; Ramachandran, Vignesh; Xu, Yaohui Gloria; Aylward, Juliet
PMID: 38325577
ISSN: 1523-1747
CID: 5632242
A Decade of Venture Investment in Artificial Intelligence in Dermatology Amidst Macroeconomic Shifts and Technological Advancements [Letter]
Ramachandran, Vignesh; Jairath, Neil K; Orlow, Seth J
PMID: 38613529
ISSN: 1523-1747
CID: 5684822
Enhancing adherence for total body skin examination in post-surgical veterans: an interventional study at an urban Veterans Affairs center [Letter]
Ramachandran, Vignesh; Kakpovbia, Efe; Juarez, Michelle C; Jairath, Neil; Nemcevic, Andjela; Akoh, Christine C; Ahearn, Ian M; Tattersall, Ian W; Lee, Nayoung; Latkowski, Jo-Ann M; Zampella, John G
PMCID:11285472
PMID: 39075619
ISSN: 2054-9369
CID: 5684832
Revolutionizing dermatology residency: artificial intelligence for knowledge and clinical milestones assessment [Letter]
Ramachandran, Vignesh; Jairath, Neil; Cheraghlou, Shayan; Pahalyants, Vartan
PMID: 37715693
ISSN: 1365-2230
CID: 5684732
Erythema Ab Igne: Decoding Skin Presentations of Vasculitis Mimickers in Autoimmunity
Buontempo, Michael G; Ramachandran, Vignesh; Mazori, Daniel R; Femia, Alisa; Sikora, Michelle; Sicco, Kristen Lo; Caplan, Avrom S
PMID: 37871732
ISSN: 1555-7162
CID: 5614292
Fostering innovation as a pillar of academic advancement in medicine: Strategies for incentivizing innovation in academic dermatology
Ramachandran, Vignesh; Pahalyants, Vartan; Cheraghlou, Shayan; Jairath, Neil
PMID: 37876303
ISSN: 1440-0960
CID: 5684752