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Company · Brookline · United States

PathAI (United States)

pathai.comROR OpenAlex
Research works
38
▲ 374% vs 2018-21
Citations
704
18.3 per fractional work
Top-10% rate
19.4%
all institutions 10.0%
Open access
54%
world 40%
International
19%
world 18%
PathAI (United States)

Not ranked overall: PathAI (United States) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.

Which fields of science does PathAI (United States) work in?

In 2022-now, 55% of research at PathAI (United States) is in Health Sciences, 25% in Life Sciences. Its largest fields are Medicine (54%), Biochemistry, Genetics and Molecular Biology (25%), Computer Science (18%). It does 2.0× the world's share of Health Sciences.

Health Sciences: 18 fractional works · 54.7% of its workMedicine: 17 fractional works · 53.8% of its workRadiology, Nuclear Medicine and Imaging: 8 fractional works · 26.3% of its workOncology: 3 fractional works · 9.9% of its workPulmonary and Respiratory Medicine: 2 fractional works · 4.7% of its workEpidemiology: 1 fractional works · 2.6% of its workPathology and Forensic Medicine: 1 fractional works · 1.8% of its workSurgery: 0 fractional works · 1.5% of its workHepatology: 0 fractional works · 1.1% of its workHealth Informatics: 0 fractional works · 1.0% of its workPhysiology: 0 fractional works · 1.0% of its workReproductive Medicine: 0 fractional works · 0.9% of its workRheumatology: 0 fractional works · 0.8% of its workGastroenterology: 0 fractional works · 0.6% of its workHematology: 0 fractional works · 0.5% of its workImmunology and Allergy: 0 fractional works · 0.3% of its workOphthalmology: 0 fractional works · 0.2% of its workComplementary and alternative medicine: 0 fractional works · 0.2% of its workPublic Health, Environmental and Occupational Health: 0 fractional works · 0.2% of its workHealth Professions: 0 fractional works · 0.8% of its workHealth Information Management: 0 fractional works · 0.8% of its workNursing: 0 fractional works · 0.1% of its workLife Sciences: 8 fractional works · 25.4% of its workBiochemistry, Genetics and Molecular Biology: 8 fractional works · 24.8% of its workCancer Research: 3 fractional works · 10.6% of its workMolecular Biology: 3 fractional works · 9.0% of its workBiophysics: 1 fractional works · 2.7% of its workGenetics: 1 fractional works · 2.4% of its workImmunology and Microbiology: 0 fractional works · 0.7% of its workImmunology: 0 fractional works · 0.7% of its workPhysical Sciences: 6 fractional works · 19.9% of its workComputer Science: 6 fractional works · 18.3% of its workArtificial Intelligence: 4 fractional works · 13.8% of its workComputer Vision and Pattern Recognition: 1 fractional works · 3.3% of its workComputational Theory and Mathematics: 0 fractional works · 1.2% of its workEngineering: 0 fractional works · 1.0% of its workElectrical and Electronic Engineering: 0 fractional works · 1.0% of its workPhysics and Astronomy: 0 fractional works · 0.5% of its workRadiation: 0 fractional works · 0.5% of its workALL ITS WORKPathAI (UnitedStates)32fractional works, 2022-now
Life Sciences25%Physical Sciences20%Health Sciences55%

Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.

Its 3 domains and 8 fields, with their numbers
    1. Medicine1753.8%
    2. Health Professions00.8%
    3. Nursing00.1%
    1. Biochemistry, Genetics and Molecular Biology824.8%
    2. Immunology and Microbiology00.7%
    1. Computer Science618.3%
    2. Engineering01.0%
    3. Physics and Astronomy00.5%
All of science, and how each field's share has moved since 1950: the Science domain explorer

Field profile

Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.

Biochemistry, Genetics and Molecular Biology: 4.64× its world share, 8 worksBiochemistry, Geneti…Immunology and Microbiology: 0.65× its world share, 0 worksImmunology and Micro…Computer Science: 2.36× its world share, 6 worksComputer ScienceEngineering: 0.07× its world share, 0 worksEngineeringPhysics and Astronomy: 0.23× its world share, 0 worksPhysics and AstronomyHealth Professions: 0.30× its world share, 0 worksHealth ProfessionsMedicine: 2.80× its world share, 17 worksMedicineNursing: 0.24× its world share, 0 worksNursing1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Biochemistry, Genetics and Molecular Biology, 4.6×. Every wedge is a field page.

All 8 fields, with their numbers
  1. Biochemistry, Genetics and Molecular Biology4.64×8 works
  2. Medicine2.80×17 works
  3. Computer Science2.36×6 works
  4. Immunology and Microbiology0.65×0 works
  5. Health Professions0.30×0 works
  6. Nursing0.24×0 works
  7. Physics and Astronomy0.23×0 works
  8. Engineering0.07×0 works

Who are the top researchers at PathAI (United States)?

Ranked on the quality score, Ilan N. Wapinski, Michael Montalto and Ylaine Gerardin lead among researchers whose main affiliation is PathAI (United States).

  1. 1 Ilan N. Wapinski United States · #148,953 worldwide 6.6k citations · 77 works
  2. 2 Michael Montalto United States · #396,145 worldwide 5.8k citations · 162 works
  3. 3 Ylaine Gerardin United States · #489,917 worldwide 1.4k citations · 51 works
  4. 4 Benjamin Glass United States · #640,188 worldwide 1.5k citations · 76 works
  5. 5 Jennifer Hipp United States · #707,090 worldwide 1.1k citations · 48 works
  6. 6 Mary Lin United States · #900,526 worldwide 634 citations · 21 works
  7. 7 Dinkar Juyal United States · #1,067,758 worldwide 235 citations · 24 works
  8. 8 Harsha Pokkalla United States · #1,256,798 worldwide 428 citations · 26 works
  9. 9 Stephanie R. Hennek United States · #1,365,835 worldwide 174 citations · 30 works
  10. 10 Archit Khosla United States · #1,561,593 worldwide 224 citations · 34 works
All ranked researchers at PathAI (United States)

What are the most cited papers from PathAI (United States)?

The most cited paper from PathAI (United States) is "Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer" (Babak Ehteshami Bejnordi et al., 2017), with 3,405 citations. Next come "Digital pathology and artificial intelligence in translational medicine and clinical practice" (597) and "Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association" (473).

Most cited papers
#PaperReleasedCitations
1 Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer Babak Ehteshami Bejnordi et al. · JAMA Open access 12 Dec 2017 3,405
2 Digital pathology and artificial intelligence in translational medicine and clinical practice Vipul A. Baxi, Robin H. Edwards, Michael Montalto et al. · Modern Pathology Open access 5 Oct 2021 597
3 Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association Esther Abels, Liron Pantanowitz, Famke Aeffner et al. · The Journal of Pathology Open access 29 Jul 2019 473
4 Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes James A. Diao et al. · Nature Communications Open access 12 Mar 2021 301
5 Combination Therapies Including Cilofexor and Firsocostat for Bridging Fibrosis and Cirrhosis Attributable to NASH Rohit Seth Loomba et al. · Hepatology 10 Nov 2020 290
All 94 most cited papers, with filters and sorting

Which keywords describe research at PathAI (United States)?

By fractional works in 2022-now, weighted toward what it does more of than the world: Machine Learning, Feature Extraction, Precision Medicine, Medical Imaging, Predictive Modeling, Quantitative Analysis, Radiomics and Convolutional Neural Networks.

▲ more of its work than of the world's◆ about the world's share▼ less than the world's

Size is fractional works in 2022-now in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 26 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 26 words, with their numbers
  1. Machine Learning16▲ 15×10 topics
  2. Feature Extraction9▲ 63×2 topics
  3. Precision Medicine9▲ 56×6 topics
  4. Medical Imaging8▲ 50×2 topics
  5. Predictive Modeling8▲ 95×2 topics
  6. Quantitative Analysis8▲ 121×1 topic
  7. Radiomics8▲ 223×1 topic
  8. Deep Learning5▲ 4.8×4 topics
  9. Convolutional Neural Networks5▲ 21×2 topics
  10. Medical Image Analysis5▲ 81×2 topics
  11. Computer-Aided Detection4▲ 136×1 topic
  12. Histopathology Images4▲ 136×1 topic
  13. Gene Expression3▲ 13×5 topics
  14. Cancer2▲ 5.1×8 topics
  15. Targeted Therapy2▲ 30×3 topics
  16. Tumor Microenvironment2▲ 14×4 topics
  17. Cancer Genomics2▲ 81×1 topic
  18. Genomic Instability2▲ 52×2 topics
  19. Mutational Signatures2▲ 81×1 topic
  20. Image Processing2▲ 13×2 topics
  21. Epidemiology2▲ 1.29×9 topics
  22. Chemotherapy1▲ 6.3×7 topics
  23. Data Analysis1▲ 14×2 topics
  24. Immune Checkpoint Blockade1▲ 33×1 topic
  25. Normalization1▲ 76×2 topics
  26. PD-1 and PD-L11▲ 33×1 topic

Which research topics does PathAI (United States) publish most on?

By volume in 2022-now: Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Cancer Genomics and Diagnostics and Cancer Immunotherapy and Biomarkers.

Radiomics and Machine Le…8Radiomics and Machine Learning in Medical Imaging: 8 fractional worksAI in cancer detection4AI in cancer detection: 4 fractional worksCancer Genomics and Diagnostics: 2 fractional worksCancer Immunotherapy and Biomarkers: 1 fractional worksCell Image Analysis Techniques: 1 fractional worksDigital Imaging for Blood Diseases: 1 fractional worksCancer-related molecular mechanisms research: 1 fractional worksGene expression and cancer classification: 1 fractional worksAdvanced Biosensing Techniques and Applications: 1 fractional worksFerroptosis and cancer prognosis: 1 fractional works
Radiology, Nuclear Medicine and ImagingArtificial IntelligenceCancer ResearchOncology4 others

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Radiomics and Machine Learning in Medical Imaging Radiology, Nuclear Medicine and Imaging 8 works
  2. 2 AI in cancer detection Artificial Intelligence 4 works
  3. 3 Cancer Genomics and Diagnostics Cancer Research 2 works
  4. 4 Cancer Immunotherapy and Biomarkers Oncology 1 works
  5. 5 Cell Image Analysis Techniques Biophysics 1 works
  6. 6 Digital Imaging for Blood Diseases Computer Vision and Pattern Recognition 1 works
  7. 7 Cancer-related molecular mechanisms research Cancer Research 1 works
  8. 8 Gene expression and cancer classification Molecular Biology 1 works
  9. 9 Advanced Biosensing Techniques and Applications Molecular Biology 1 works
  10. 10 Ferroptosis and cancer prognosis Pulmonary and Respiratory Medicine 1 works

How open and international is its research?

Against the world's own shares: the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.

openly available53.9%not open46.1%

World: 40% of research is openly available.

with international co-authors18.8%domestic only81.2%

World: 18% is written across borders.

How has PathAI (United States)'s research output changed?

Output in 2022-2025 was 374% higher than in 2018-2021.

still counting20202025
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Other research institutions in Brookline

All research institutions in Brookline

Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.

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